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Transcript
GLOBAL BURDEN OF DISEASE AND INJURY SERIES
VOLUME IV
THE GLOBAL
EPIDEMIOLOGY OF
INFECTIOUS DISEASES
Edited By:
Christopher J. L. Murray
Alan D. Lopez
Colin D. Mathers
World Health Organization
Geneva
G L O B A L B U R D E N O F D I S E A S E A N D I N J U RY S E R I E S
VOLUME IV
The Global
Epidemiology
of Infectious Diseases
Edited by
Christopher J. L. Murray
Alan D. Lopez
Colin D. Mathers
World Health Organization
Geneva
WHO Library Cataloguing-in-Publication Data
The global epidemiology of infectious diseases [electronic resource] / edited
by Christopher J. L. Murray, Alan D. Lopez, Colin D. Mathers.
1 PDF. -- (Global burden of disease and injury series ; volume 4)
1.Communicable diseases - epidemiology I. Murray, Christopher J. L.
II. Lopez, Alan D. III. Mathers, Colin D.
ISBN 92 4 159230 3
(NLM classification: WC 100)
© Copyright World Health Organization 2004. All rights reserved.
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The named editors alone are responsible for the views expressed in
this publication.
Design and production by Digital Design Group, Newton, MA USA
Table of Contents
List of Tables ........................................................................ v
List of Figures ..................................................................... xi
Global Burden of Disease and Injury Series Foreword
Ralph H. Henderson ..........................................................xiv
Global Burden of Disease and Injury Series Foreword
Dean T. Jamison.................................................................xvi
Preface ..............................................................................xxiv
Acknowledgments..............................................................xxv
Chapter 1: Diarrhoeal Diseases
Caryn Bern .......................................................................... 1
Chapter 2: Pertussis
Artur M Galazka, Susan E Robertson.................................. 29
Chapter 3: Diptheria
Artur M Galazka, Susan E Robertson.................................. 55
Chapter 4: Measles
CJ Clements, GD Hussey ................................................... 75
Chapter 5: Poliomyelitis
Kenji Shibuya, Christopher JL Murray............................... 111
Chapter 6: Tetanus
A Galazka, M Birmingham, M Kurian, FL Gasse ............... 151
Chapter 7: Leprosy
D Daumerie..................................................................... 201
Chapter 8: Dengue and dengue haemorrhagic fever
James W LeDuc, Karin Esteves, Norman G. Gratz ............. 219
iv
Global Epidemiology of Infectious Diseases
Chapter 9: Intestinal nematode infections
DAP Bundy, MS Chan, GF Medley, D Jamison, L Savioli .... 243
Chapter 10: Trachoma-Related Visual Loss
B Thylefors, K Ranson, A-D Négrel, R Pararajasegaram...... 301
Chapter 11: Chagas Disease
A Moncayo ...................................................................... 325
Chapter 12: Schistosomiasis
KE Mott .......................................................................... 349
Table of Contents
v
List of Tables
Chapter 1
1.1
International Classification of Diseases (ICD) codes
corresponding to watery diarrhoea and dysentery ............ 3
1.2
Previous estimates of diarrhoeal disease burden for children
younger than 5 years in developing countries ................... 4
1.3
Diarrhoeal morbidity and mortality in 276 surveys in
children younger than 5 years, using WHO methodology,
1981–1986 .................................................................... 5
1.4
Review of empirical databases on morbidity from
diarrhoea: longitudinal studies measuring incidence ........ 7
1.5
Review of empirical databases on mortality from diarrhoea:
studies measuring annual deaths per 1000 children ........ 10
1.6
Review of databases on mortality from diarrhoea:
estimated from vital registration data in Latin America and
the Caribbean .............................................................. 13
1.7
Review of empirical databases on morbidity from
diarrhoea: morbidity in various age groups .................... 14
1.8
Review of empirical databases on mortality from diarrhoea:
various age groups ....................................................... 15
1.9
Studies of persistent diarrhoea and distribution of mortality
by type of diarrhoea ..................................................... 16
1.10 Regional summary estimates for morbidity from diarrhoeal
disease ........................................................................ 18
1.11 Regional summary estimates for mortality from diarrhoeal
disease ........................................................................ 18
1.12 Estimates for distribution of episodes by type of diarrhoea
according to age .......................................................... 19
1.13 Assignment of disability weights according to type of
diarrhoea; classification used for calculation of disabilityadjusted life years ........................................................ 19
Chapter 2
2.1
Pertussis attack rates, by age, during pertussis outbreaks
in Côte d’Ivoire, Guatemala, and Indonesia ................... 33
2.2
Pertussis case fatality rates, by age, United States of
America 1927–1989, England and Wales 1980–1991, and
Kenya 1974–1976 ........................................................ 36
2.3
Complication rates attributable to pneumonia, seizures,
and encephalopathy among pertussis patients in seven
studies ......................................................................... 38
2.4
Ninth Revision of the International Classification of
Diseases (ICD-9) codes for pertussis ............................. 41
2.5
Number of pertussis cases reported to WHO, by
demographic region, 1980, 1985 and 1990 .................... 43
vi
Global Epidemiology of Infectious Diseases
2.6
World Health Organization EPI Information System
method for estimating number of cases and deaths
attributable to pertussis ................................................ 45
2.7
Assumptions concerning completeness of reporting and case
fatality rates used in estimating the number of pertussis
cases and deaths by demographic region, 1990 .............. 46
2.8
Estimated global number of pertussis cases and deaths in
1990, based on two methods of estimation .................... 47
2.9
Estimated number of pertussis cases, by age, in developing
countries, developed countries, and worldwide, 1990 ..... 47
2.10 Estimated number of pertussis deaths, by age, developing
countries, developed countries, and worldwide, 1990 ..... 47
2.11 Regional and global levels of coverage with three doses of
diphtheria-pertussis-tetanus (DPT) vaccine among children
by age 12 months for 1985, 1990 and 1995 ................... 48
Chapter 3
3.1
Ninth revision of the International Classification of
Diseases (ICD-9) codes for diphtheria ........................... 58
3.2
Number of diphtheria cases reported to the World Health
Organization from developing and developed countries,
and percentage of total cases occurring in developing
countries, 1974–1994, based on reports received as of
March 1996 ................................................................. 60
3.3
Cyclic occurrence of diphtheria in the world, 16th–20th
centuries ...................................................................... 62
3.4
Mortality attributable to diphtheria, by age groups,
Hampton Falls, New Hampshire, 1735 .......................... 63
3.5
Diphtheria case fatality rates in urban and rural areas,
Ukraine, 1992 and 1993 ............................................... 64
3.6
Estimated number cases of diphtheria, and proportion, by
age group, in developing countries, developed countries,
and worldwide, 1990.................................................... 66
3.7
Estimated number of diphtheria cases and deaths, by age
group, worldwide, 1990 ............................................... 66
3.8
Estimated number of diphtheria cases and deaths, by World
development report region, 1990................................... 67
Chapter 4
4.1
Complications of measles.............................................. 78
4.2
Studies from five countries on the frequency of
complications in measles (as a percentage) ..................... 78
4.3
Distribution of measles deaths by cause ......................... 80
4.4
Measles case fatality rates in prospective community
studies, Africa .............................................................. 81
Table of Contents
vii
4.5
Measles case fatality rates in prospective community
studies, Americas ........................................................ 83
4.6
Measles case fatality rates in prospective community
studies, Asia................................................................ 84
4.7
The estimated burden of measles by World Bank Region 88
4.8
Annual estimated burden of measles by World Bank
Region, 1990, unadjusted for background mortality....... 90
4.9
Incidence rates of pneumonia, croup and diarrhoea and
respective case fatality rates in hospitalized patients with
measles ....................................................................... 94
4.10 Frequency of bacterial isolates and complications
following lung and tracheal aspirates in measles-associated
pneumonia ................................................................... 95
4.11 Association between nutritional status and complications97
4.12 Frequency of central nervous system complications in
measles ........................................................................ 99
Chapter 5
5.1
Percentage distribution of notified cases of poliomyelitis by
age-group and median age of notified cases: England and
Wales, 1912–19 and 1944–50 ..................................... 113
5.2
Annual incidence of poliomyelitis per 100 000 total
population during the period 1976–1980..................... 114
5.3
Poliomyelitis cases in Greater Bombay: clinical outcome118
5.4
Change in OPV coverage (percentage) by region .......... 123
5.5a Epidemiological estimates for poliomyelitis, 1990,
males ......................................................................... 127
5.5b Epidemiological estimates for poliomyelitis, 1990,
females ...................................................................... 130
Chapter 6
6.1
Case fatality ratios in tetanus patients by age, India 1954–
1968 and 1975, Nigeria 1974–1984 ............................ 155
6.2
Case fatality ratios associated with tetanus, 1920–1995 157
6.3
Age distribution of tetanus cases (percentage of cases
< 20 and > 50 years of age), 1954–1992 ...................... 163
6.4
Gender ratios of tetanus cases and deaths, 1944–1990 . 165
6.5
Notification efficiencies of tetanus cases, 1969–1992 ... 167
6.6
Estimated neonatal mortality rates and neonatal tetanus
mortality rates, and proportion of all neonatal deaths due
to tetanus, 1953–1995 ................................................ 172
6.7
Estimated number of non-neonatal tetanus cases and deaths
by age in developing and developed countries, 1990..... 182
6.8
Percentage of children immunized in the first year of life
with 3 doses of DTP vaccine and percentage of pregnant
viii
Global Epidemiology of Infectious Diseases
women immunized with at least 2 doses of tetanus toxoid,
by WHO Region, 1993 ............................................... 186
Chapter 7
7.1
Detection and prevalence of leprosy in five African
countries, 1986–1989 ................................................. 208
7.2
Detection rates per 1000 by age and sex in five African
countries (people 0–14 years of age not included in the
sample) ..................................................................... 209
7.3
Detection by age group and type of leprosy in four
districts, India, 1993 .................................................. 209
7.4
Incidence rates by age, sex and type of leprosy,
Polambakkam, India, 1967–1971 ............................... 210
7.5
Detection rates of leprosy, Brazil: actual rates, 1950 to
1983; predicted rate, 2000 .......................................... 210
7.6
Age-specific and type-specific prevalence of leprosy in four
Governorates, Egypt, 1986 ......................................... 211
7.7
Prevalence of disability among leprosy patients before the
implementation of multidrug therapy: results of various
studies ....................................................................... 212
7.8
Impact of multidrug therapy on disability related to
leprosy—prevalence of disability: results of various
studies ....................................................................... 214
Chapter 8
8.1
Estimates of the burden of dengue haemorrhagic fever,
Other Asia and Islands ............................................... 225
8.2
Estimates of the burden of dengue haemorrhagic fever,
India.......................................................................... 227
8.3
Estimates of the burden of dengue haemorrhagic fever,
China ........................................................................ 228
8.4
Estimates of the burden of dengue haemorrhagic fever, SubSaharan Africa ........................................................... 229
8.5
Reported cases of dengue fever, dengue haemorrhagic fever,
and deaths attributable to dengue haemorrhagic fever in
Latin America and the Caribbean, 1988 to 1992 .......... 230
8.6
Estimates of the burden of dengue haemorrhagic fever,
Latin America and the Caribbean ................................ 231
8.7
Dengue haemorrhagic fever reported, selected countries,
Other Asia and Islands, 1982–1992............................. 233
8.8
Crude estimate for the global burden of disease attributable
to dengue haemorrhagic fever, 1994 ............................ 234
Chapter 9
9.1
Worm burden thresholds for morbidity used in the
model ........................................................................ 251
Table of Contents
9.2
9.3
9.4a
9.4b
9.4c
9.5a
9.5b
9.6a
9.6b
9.7a
9.7b
9.8
9.9
9.10
9.11a
9.11b
9.12a
9.12b
ix
Age weights for prevalences used in the model ............. 252
Prevalence classes and reference (set) prevalences used in
the model................................................................... 256
Transition matrix for Ascaris lumbricoides .................. 257
Transition matrix for Trichuris trichiura...................... 257
Transition matrix for hookworms ............................... 257
Estimates of numbers infected and at risk of disability for
Ascaris lumbricoides, by World Bank region ............... 259
Estimates of numbers infected and at risk of disability for
Ascaris lumbricoides, by age group ............................. 259
Estimates of numbers infected and at risk of disability for
Trichuris trichiura, by World Bank region ................... 260
Estimates of numbers infected and at risk of disability for
Trichuris trichiura, by age group ................................. 260
Estimates of numbers infected and at risk of disabililty for
hookworm, by World Bank region ............................... 261
Estimates of numbers infected and at risk of disability for
hookworm, by age...................................................... 261
Summary of global burden of helminth infections, by World
Bank region and country or area ................................. 263
Data for DALY calculation, ascariasis, both sexes,
1990.......................................................................... 268
Data for DALY calculation, trichuriasis both sexes,
1990.......................................................................... 270
Data for DALY calculation, hookworm, males, 1990.... 271
Data for DALY calculation, hookworm, females, 1990 . 272
Selected studies investigating the effects of parasitic
helminth infections on mental processing..................... 274
Selected studies investigating the effects of parasitic
helminth infections on physical fitness......................... 279
Chapter 10
10.1 Review of available data on trachomatous blindness:
population-based surveys after 1974 ........................... 305
10.2 Ratio of people with low vision (< 6/18 – 3/60) to people
with blindness (< 3/60) ............................................... 312
10.3 Ratio of female prevalence of trachomatous blindness to
male prevalence.......................................................... 313
10.4 Age distribution of the prevalence of trachomatous
blindness ................................................................... 313
10.5 Prevalence of trachomatous blindness and low vision by
region ........................................................................ 313
10.6 Age and sex distribution of the people with blindness or
low vision attributable to trachoma, China, 1990 ........ 314
10.7 Age and sex distribution of the people with blindness or
low vision attributable to trachoma, India, 1990.......... 314
x
Global Epidemiology of Infectious Diseases
10.8 Age and sex distribution of the people with blindness
or low vision attributable to trachoma, Middle Eastern
Crescent, 1990 ........................................................... 315
10.9 Age and sex distribution of the people with blindness
or low vision attributable to trachoma, Other Asia and
Islands, 1990 ............................................................. 315
10.10 Age and sex distribution of the people with blindness or
low vision attributable to trachoma, Sub-Saharan Africa,
1990.......................................................................... 316
10.11 Age and sex distribution of the people with blindness or
low vision attributable due to trachoma throughout the
world, 1990 ............................................................... 316
Chapter 11
11.1 Prevalence studies of human T. cruzi infection in Latin
America .................................................................... 327
11.2 Prevalence of human T. cruzi infection in Latin America,
1975–1985 ................................................................ 328
11.3 Prevalence of Typarrosoma cruzi infected blood in blood
banks of selected countries ......................................... 330
11.4 Incidence of cardiac lesions and T. cruzi infection, rates per
1000 person-years ...................................................... 331
11.5 Excess mortality rates with cardiac lesions, rates per 1000
person-years............................................................... 332
11.6 Efficacy of triatomine control tools: percentage of reinfested houses after different interventions, Argentina,
Chile, Honduras and Paraguay, April 1994 .................. 335
11.7 Human infection by Trypanosoma cruzi and reduction of
incidence, Southern Cone initiative for the elimination of
Chagas disease: 1983–2000 ........................................ 336
11.8 Summary of control activities in Central America,
1999.......................................................................... 341
11.9 The time table towards the interruption of transmission of
Chagas disease ........................................................... 343
Chapter 12
12.1 Diagnostic methods for schistosomiasis ....................... 350
12.2 S. Japonicum empirical databases, China .................... 357
12.3 S. japonicum empirical databases by region, Other Asia and
Islands ....................................................................... 360
12.4 S. mansoni empirical databases, sub-Saharan Africa .... 362
12.5 S. intercalatum empirical databases by region, sub-Saharan
Africa ....................................................................... 365
12.6 S. mansoni empirical databases by region, Latin America
and the Caribbean ...................................................... 366
Table of Contents
xi
12.7 S. haematobium empirical databases by region, Middle
Eastern Crescent ....................................................... 368
12.8 S.mansoni empirical databases by region, Middle Eastern
Crescent .................................................................... 369
12.9 Causes of death related to schistosomiasis ................... 371
12.10 Studies of mortality rates associated with schistosomiasis,
World Bank regions .................................................... 372
12.11 Epidemiological estimates for schistosomiasis,1990,
males ......................................................................... 376
12.12 Epidemiological estimates for schistosomiasis,1990,
females ...................................................................... 380
xii
Global Epidemiology of Infectious Diseases
List of Figures
Chapter 2
2.1
Percentage distribution of pertussis cases before (grey bars)
and after (black bars) widespread use of pertussis vaccine,
Poland (1971 versus 1991), United States (1918–21 versus
1980–89) .................................................................... 34
2.2
Reported annual incidence of pertussis, by WHO region,
1974–1994 .................................................................. 44
Chapter 3
3.1
Annual diphtheria incidence reported to the World Health
Organization, by region, 1974–1994, based on reports
received as of March 1996 ............................................ 61
3.2
Age-specific immunity of a hypothetical population before
and after widespread use of diphtheria vaccine .............. 62
Chapter 4
4.1
Number of cases of measles and measles vaccine coverage
reported globally, 1974–1996 ....................................... 76
4.2
Age of onset of measles in the pre-vaccine era ................ 87
Chapter 5
5.1
Global immunization coverage (per cent) of OPV3 for
children in the first year of life.................................... 113
5.2
Reported incidence of indigenous poliomyelitis ............ 114
5.3
Annual incidence of paralytic poliomyelitis, 1990 ........ 126
5.4
Annual number of deaths due to poliomyelitis, 1990 .... 133
5.5
DALYs lost due to paralytic poliomyelitis, 1990........... 133
5.6
Immunization status of poliomyelitis cases in Shandong
Province, 1990 ........................................................... 136
5.7
Reduction of polio incidence by region, 1990 .............. 137
5.8
Anticipated reduction of polio incidence with full vaccine
coverage .................................................................... 138
Chapter 6
6.1
Incidence and mortality rates and case fatality ratios for
neonatal tetanus, Denmark, 1920–1960....................... 156
6.2
Reported age-specific tetanus incidence rates, by 5-year
intervals, United States, 1965–1994 ............................ 162
6.3
Number of tetanus cases and immunization coverage
reported to WHO by national authorities, 1975–1995.. 169
6.4
Reported number of neonatal and non-neonatal tetanus
cases by WHO region, 1974–1992 .............................. 170
Table of Contents
6.4
6.5
6.6
6.7
xiii
Reported number of neonatal and non-neonatal tetanus
cases by WHO region, 1974–1992 (continued)............. 171
Estimated number of tetanus deaths occurring in the world
by WHO region, 1990 ................................................ 183
Estimated neonatal tetanus mortality rate per 1000 live
births, 1990 ............................................................... 184
Reported coverage with at least two doses of tetanus
toxoid among pregnant women, 1995.......................... 187
Chapter 11
11.1 Southern Cone Initiative for the elimination of transmission
of Chagas disease: incidence of infection 1980–2000 ... 336
Foreword to
The G LOBAL B URDEN OF
D ISEASE AND I NJURY S ERIES
Ralph H. Henderson
The collection and use of timely and reliable health information in support of health policies and programmes have been actively promoted by
the World Health Organization since its foundation. Valid health statistics are required at all levels of the health system, ranging from data for
health services support at the local community level, through to national
statistics and information used to monitor the effectiveness of national
health strategies. Equally, regional and global data are required to monitor global epidemics and to continuously assess the effectiveness of global
public health approaches to disease and injury prevention and control,
as coordinated by WHO technical programmes. Despite the clear need
for epidemiological data, reliable and comprehensive health statistics are
not available in many Member states of WHO, and, indeed, in many
countries the ascertainment of disease levels, patterns and trends is still
very uncertain.
In recent years, monitoring systems, community-level research and disease registers have improved in both scope and coverage. Simultaneously,
research on the epidemiological transition has increased our understanding
of how the cause structure of mortality changes as overall mortality rates
decline. As a consequence, estimates and projections of various epidemiological parameters, such as incidence, prevalence and mortality, can now
be made at the global and regional level for many diseases and injuries.
The Global Burden of Disease Study has now provided the public health
community with a set of consistent estimates of disease and injury rates
in 1990. The Study has also attempted to provide a comparative index
of the burden of each disease or injury, namely the number of DisabilityAdjusted Life Years (DALYs) lost as a result of either premature death or
years lived with disability.
The findings published in the Global Burden of Disease and Injury
Series provide a unique and comprehensive assessment of the health of
populations as the world enters the third millennium. We also expect that
the methods described in the various volumes in the series will stimulate
Foreword
xv
Member States to improve the functioning and usefulness of their own
health information systems. Nonetheless, it must be borne in mind that
the results from an undertaking as ambitious as the Global Burden of
Disease Study can only be approximate. The reliability of the data for certain diseases, and for some regions, is extremely poor, with only scattered
information available in some cases. To extrapolate from these sources to
global estimates is clearly very hazardous, and could well result in errors
of estimation. The methods that were used for some diseases (e.g. cancer)
are not necessarily those applied by other scientists or institutions (e.g.
the International Agency for Research on Cancer) and hence the results
obtained may differ, sometimes considerably, from theirs. Moreover, the
concept of the DALY as used in this Study is still under development, and
further work is needed to assess the relevance of the social values that have
been incorporated in the calculation of DALYs, as well as their applicability in different socio-cultural settings. In this regard, WHO and its various partners are continuing their efforts to investigate burden-of-disease
measurements and their use in health policy decision-making.
Dr Ralph H. Henderson is former Assistant Director-General of the World Health
Organization.
Foreword to
The G LOBAL B URDEN OF
D ISEASE AND I NJURY S ERIES
Dean T. Jamison
Rational evaluation of policies for health improvement requires four basic
types of information: a detailed, reliable assessment of epidemiological
conditions and the burden of disease; an inventory of the availability
and disposition of resources for health (i.e. a system of what has become
known as national health accounts); an assessment of the institutional and
policy environment; and information on the cost-effectiveness of available
technologies and strategies for health improvement. The Global Burden
of Disease and Injury Series provides, on a global and regional level, a
detailed and internally consistent approach to meeting the first of these
information needs, that concerning epidemiological conditions and disease
burden. It fully utilizes what information exists while, at the same time,
pointing to great variation—across conditions and across countries—in
data quality. In the Global Burden of Disease and Injury Series, Christopher Murray, Alan Lopez and literally scores of their collaborators from
around the world present us with a tour de force: its volumes summarize
epidemiological knowledge about all major conditions and most risk factors; they generate assessments of numbers of deaths by cause that are
consistent with the total numbers of deaths by age, sex and region provided
by demographers; they provide methodologies for and assessments of
aggregate disease burden that combine—into the Disability-Adjusted Life
Year or DALY measure—burden from premature mortality with that from
living with disability; and they use historical trends in main determinants
to project mortality and disease burden forward to 2020. Publication of
the Global Burden of Disease and Injury Series marks the transition to a
new era of health outcome accounting—an era for which these volumes
establish vastly higher standards for rigour, comprehensiveness and internal
consistency. I firmly predict that the official reporting of health outcomes
in many countries and globally will increasingly embody the approach
and standards described in this series.
The Global Burden of Disease and Injury Series culminates an evolutionary process that began in the late 1980s. Close and effective collaboration
Foreword
xvii
between the World Bank and the World Health Organization initiated,
supported and contributed substantively to that process.
Background
Work heading to the Global Burden of Disease and Injury Series proceeded
in three distinct phases beginning in 1988. Intellectual antecedents go back
much further (see Murray 1996, or Morrow and Bryant 1995); perhaps
the most relevant are Ghana’s systematic assessment of national health
problems (Ghana Health Assessment Project Team 1981) and the introduction of the QALY (quality-adjusted life year)—see, for example Zeckhauser
and Shepard (1976). My comments here focus on the three phases leading
directly to the Global Burden of Disease and Injury Series.
Phase 1 constituted an input to a four-year long “Health Sector Priorities
Review” initiated in 1988 by the World Bank; its purpose was to assess
“…the significance to public health of individual diseases for related clusters of diseases…and what is now known about the cost and effectiveness
of relevant interventions for their control” (Jamison et al. 1993, p. 3; that
volume provides the results of the review). Dr Christopher Murray of Harvard University introduced the DALY as a common measure of effectiveness
for the review to use across interventions dealing with diverse diseases, and
Dr Alan Lopez of the World Health Organization prepared estimates of
child deaths by cause that were consistent with death totals provided by
demographers at the World Bank (Lopez 1993). At the same time, and in
close coordination, a World Bank effort was preparing consistent estimates
for adult (15-59) mortality by cause for much of the developing world
(Feachem et al. 1992). Ensuring this consistency was a major advance
and is a precondition for systematic attempts to measure disease burden.
(Estimates of numbers of deaths by cause that are not constrained to sum
to a demographically-derived total seem inevitably to result in substantial
overestimates of deaths due to each cause.) Phase 1 of this effort, then,
introduced the DALY and established important consistency standards to
guide estimation of numbers of deaths by cause.
Phase 2 constituted the first attempt to provide a comprehensive set of
estimates not only of numbers of deaths by cause but also of total disease
burden including burden from disability. This effort was commissioned
as background for the World Bank’s World Development Report 1993:
Investing in Health; it was co-sponsored by the World Bank and the World
Health Organization; and it was undertaken under the general guidance of
a committee chaired by Dr JP Jardel (then Assistant Director-General of
WHO). The actual work was conceptualised, managed and integrated by
Drs Murray and Lopez and involved extensive efforts by a large number
of individuals, most of whom were on the WHO staff. First publication of
the estimates of 1990 disease burden appeared in Appendix B of Investing
in Health (World Bank 1993) and, more extensively, in Murray, Lopez and
Jamison (1994). The World Health Organization subsequently published
xviii
Global Epidemiology of Infectious Diseases
a volume containing a full account of the methods used and a somewhat
revised and far more extensive presentation of the results (Murray and
Lopez 1994).
Preparation and publication of the Global Burden of Disease and Injury
Series constitutes Phase 3 of this sequence of efforts. As in the earlier
phases, the Global Burden of Disease and Injury Series was undertaken
to inform a policy analysis—in this case an assessment of priorities for
health research and development in developing countries being guided
by WHO’s Ad Hoc Committee on Health Research Relating to Future
Intervention Options. The Committee sought updated estimates of disease
burden for 1990, projections to 2020 and an extension of the methods
to allow assessment of burden attributable to selected risk factors. The
committee’s report (Ad Hoc Committee 1996) and the Global Burden of
Disease and Injury Series appear as companion documents.
Chapters summarizing results from the Global Burden of Disease and
Injury Series appear in volume I, The Global Burden of Disease; underlying epidemiological statistics for over 200 conditions appear in volume II,
Global Health Statistics. The next two volumes of the Series provide, for
the first time, chapters detailing the data on each condition or cluster of
conditions in the areas of reproductive health and infectious diseases.
Will there be a fourth phase? I am sure there will. Reporting of the disease-specific and risk factor analysis in the Global Burden of Disease and
Injury Series will provoke constructive and perhaps substantial criticism
and improvements; country-specific assessments will multiply (over 20 are
now under way) and they, too, will modify and enrich current estimates,
see for example, Lozano et al. 1994. Estimates of trends in deaths by cause
have recently been initiated, which will serve as the precursor for estimates
of trends in disease burden. Methodologies will be criticized and, I would
predict, constructively revised. Unfinished elements of the agenda discussed
in the next section will be completed. Phase 4, centred on the estimation
of global and regional disease burden for 2000 and including a look at
the past, will take us well beyond where we now are.
The Agenda
Disease burden (or numbers of deaths by cause) were initially partitioned
in three separate ways for different age, sex and regional groupings (Murray et al. 1994). One partition is by risk factor—genetic, behavioural,
environmental and physiological. The second is by disease. The third is
by consequence—
consequence—premature mortality at different ages and different types
of disability (e.g. sensory, cognitive functioning, pain, affective state, etc.).
A fourth partition, by reason for remaining burden, was later introduced
(Ad Hoc Committee, 1996).
Disaggregation by risk factor helps guide policy concerning primary and
secondary prevention, including development of new preventive measures.
Disaggregation by disease helps guide policy concerning cure, secondary
Foreword
xix
prevention and palliation; and disaggregation by consequence helps guide
policies for rehabilitation.
Work on the disease burden assessment agenda began with assessments
of mortality and burden by disease; the Global Burden of Disease and
Injury Series advances the agenda in that domain by revising and adding
great detail on disease burden estimates. More recently, the World Health
Report for 2002 (World Health Organization, 2002) provides an extensive assessment of the burden from a range of important risk factors; this
extends usefulness of the work to the domain of prevention policy.
There remains, however, an important unfinished agenda. The disease
burden associated with different types of disability remains to be assessed;
perhaps part of the reason for neglect of rehabilitation in most discussion
of health policy is the lack of even approximate information on burden
due to disability or on the DALY gains per unit cost of rehabilitative
intervention.
A related agenda item—relevant to planning for curative and, particularly, rehabilitative intervention—is to present disease burden estimates
from a current prevalence perspective. The dominant perspective of work
so far undertaken, including in the Global Burden of Disease and Injury
Series, is that of adding up over time the burden that will result from all
conditions incident in a given year (here 1990); this well serves the development of primary prevention policy and of treatment policy for diseases
of short duration. The prevalence perspective complements the incidence
one by assessing how much burden is being experienced during a particular year by chronic conditions or by disabilities; those conditions or
disabilities will often have been generated sometime in the past. From an
incidence perspective, disability in this year from, say, an injury occurring
a decade ago would generate DALY loss in the year of incidence; but to
guide investment in rehabilitation we need to know how much disability
exists today, i.e., we need a prevalence perspective. Murray and Lopez in
The Global Burden of Disease and in Global Health Statistics provide the
basic estimates of prevalence of different disabilities and first glimpses of
the prevalence perspective.
A final major agenda item is to establish for each condition and in the
aggregate how much of the potential current burden is in fact being averted
by existing interventions and how much of the remaining burden persists
because of lack of any intervention, lack of cost-effective interventions,
or because of inefficiency of the system.
Uses of DALY and Disease Burden Measurement
DALYs have six major uses to underpin health policy. Five of these relate
to measurement of the burden of disease; the final one concerns judging
the relative priority of interventions in terms of cost-effectiveness.
Assessing performance. A country-specific (or regional) assessment of the
xx
Global Epidemiology of Infectious Diseases
burden of disease provides a performance indicator that can be used over
time to judge progress or across countries or regions to judge relative
performance. These comparisons can be either quite aggregated (in terms
of DALYs lost per thousand population ) or finely disaggregated to allow
focused assessment of where relative performance is good and where it
is not. The Global Burden of Disease and Injury Series with its burden
assessments for eight regions in 1990—and with the increasing number
of country-specific assessments that it will report—will provide, I predict,
the benchmark for all subsequent work. The most natural comparison is
to the development of National Income and Product Accounts (NIPAs)
by Simon Kuznets and others in the 1930s, which culminated in 1939
with a complete NIPA for the United Kingdom prepared by James Meade
and Richard Stone at the request of the UK Treasury. NIPAs have, in the
subsequent decades, transformed the empirical underpinnings of economic
policy analysis. One of the leading proponents of major changes in NIPAs
has put in this way:
The national income and product accounts for the United States (NIPAs),
and kindred accounts in other nations, have been among the major contributions to economic knowledge over the past half century…Several
generations of economists and practitioners have now been able to tie
theoretical constructs of income output, investment, consumption, and
savings to the actual numbers of these remarkable accounts with all their
fine detail and soundly meshed interrelations. (Eisner 1989).
My own expectation is that this series will, over a decade or two, initiate
a transformation of health policy analysis analogous to that initiated for
economic policy by the introduction of NIPAs in the late 1930s. Today
most health policy work concerns only cost, finance, process and access;
burden of disease (and risk factor) assessments should soon allow full
incorporation of performance measures in policy analysis.
Generating a forum for informed debate of values and priorities. The
assessment of disease burden in a country-specific context in practice
involves participation of a broad range of national disease specialists,
epidemiologists and, often, policy makers. Debating the appropriate
values for, say, disability weights or for years of life lost at different ages
helps clarify values and objectives for national health policy. Discussing
the inter-relations among diseases and their risk factors in the light of
local conditions sharpens consideration of priorities. And the entire process brings technically informed participants to the table where policy is
discussed. The preparation of a well-defined product generates a process
with much value of its own.
Identifying national control priorities. Many countries now identify a
relatively short list of interventions, the full implementation of which
Foreword
xxi
becomes an explicit priority for national political and administrative attention. Examples include interventions to control tuberculosis, poliomyelitis,
HIV infection, smoking and specific micronutrient deficiencies. Because
political attention and administrative capacity are in relatively fixed and
short supply, the benefits from using those resources will be maximized if
they are directed to interventions that are both cost-effective and aimed
at problems associated with a high burden. Thus, national assessments of
disease burden are instrumental for establishing this short list of control
priorities.
Allocating training time for clinical and public health practitioners. Medical
schools offer a fixed number of instructional hours; training programmes
for other levels and types of practitioners are likewise limited. A major
instrument for implementing policy priorities is to allocate this fixed time
resource well—again that means allocation of time to training in interventions where disease burden is high and cost-effective interventions exist.
Allocating research and development resources. Whenever a fixed effort
will have a benefit proportional not to the size of the effort but rather to
the size of the problem being addressed, estimates of disease burden become
essential for formulation of policy. This is the case with political attention
and with time in the medical school curriculum; and it is likewise true
for the allocation of research and development resources. Developing a
vaccine for a broad range of viral pneumonias, for example, would have
perhaps hundreds of times the impact of a vaccine against disease from
Hanta virus infection. Thus information on disease or risk factor burden is
one (of several) vital inputs to inform research and development resource
allocation. Indeed, as previously noted, this series—with its disease burden
assessments for 1990, its projections to 2020 and its initial assessment of
burden due to risk factors—was commissioned to inform a WHO Committee charged with assessing health research and development priorities
for developing countries (Ad Hoc Committee 1996).
The Committee sought not only to know the burden by condition, but
also to partition the burden remaining for each condition into several
distinct parts reflecting the importance of the reasons for the remaining
disease burden. This division into four parts was undertaken for several
conditions; a major agenda item for future analysis is to undertake such
a partitioning systematically for all conditions so that there could be reasonably approximate answers to such questions as “How much of the
remaining disease burden cannot be addressed without major biomedical
advances?" Or, “How much of the remaining disease burden could be
averted by utilizing existing interventions more efficiently?” Arguably
most of the spectacular gains in human health of the past century have
resulted from advances in knowledge (although improvements in income
and education have also played a role). If so, improving research and
development policy in health may be more important than improving
xxii
Global Epidemiology of Infectious Diseases
policy in health systems or finance; improved assessments and projections
of disease burden will be critical to that undertaking.
Allocating resources across health interventions. Here disease burden
assessment often plays a minor role; the task is to shift resources to interventions which, at the margin, will generate the greatest reduction in DALY
loss. When there are major fixed costs in mounting an intervention—as is
the case with political and managerial attention for national control priorities—burden estimates are indeed required to optimize resources allocation.
But, typically, much progress can be made with only an understanding of
how the DALYs gained from an intervention vary with the level of expenditure on it; such assessments are the stuff of cost-effectiveness analysis.
The DALY as a common measure of effectiveness allows comparison of
cost-effectiveness across intervention addressing all conditions; such an
initial effort was undertaken for the World Bank’s “Health Sector Priorities Review” (Jamison et al. 1993) in the late 1980s using a forerunner to
the DALY utilized in this series.
———
The Global Burden of disease and Injury Series contains the only available
internally consistent, comprehensive and comparable assessments of causes
of death, incidence and prevalence of disease and injury, measures and
projections of disease burden, and measures of risk factor burden. In that
sense the authors’ contributions represent a landmark achievement and
provide an invaluable resource for policy analyst and scholars. This effort
dramatically raises the standard by which future reporting of health conditions will be judged. Yet, the very need for the ad hoc assessments that the
volumes in this series report, points to important gaps in the international
system for gathering, analysing and distributing policy-relevant data on
the health of populations. Without information on how levels and trends
in key indicators in their own countries compare with other countries,
national decision-makers will lack benchmarks for judging performance.
Likewise students of health systems will lack the empirical basis for forming
outcome-based judgements on which policies work—and which do not. I
hope, then, that one follow-on to the Global Burden of Disease and Injury
Series will be the institutionalization of continued efforts to generate and
analyse internationally comparable data on health outcomes.
Dean T. Jamison is Professor of Public Health and of Education at the University of
California Los Angeles, and a Fellow at the Fogarty International Center of the National
Institutes for Health. He recently served as Director, Economics Advisory Service, at
the World Health Organization in Geneva, and is currently leading the preparation of
the second edition of Disease Control Priorities in Developing Countries.
Foreword
xxiii
References
Ad Hoc Committee on Health Research Relating to Future Intervention Options
(1996) Investing in health research and development. World Health Organization. Geneva (Document TDR/Gen/96/1).
Eisner R (1989) The total incomes system of accounts. Chicago, University of
Chicago Press.
Feachem RGA et al., eds. (1992) The health of adults in the developing world.
New York, Oxford University Press for the World Bank.
Ghana Health Assessment Project team (1981) A quantitative method of assessing
the health impact of different diseases in less developed countries. International
Journal of Epidemiology, 10:73-80.
Goerdt A et al. (1996) Disability: definition and measurement issues. In: Murray
CJL and Lopez AD, eds., The global burden of disease: a comprehensive assessment of mortality and disability from diseases, injuries, and risk factors in 1990
and projected to 2020. Cambridge, Harvard University Press.
Jamison DT et al., eds. (1993) Disease control priorities in developing countries.
New York, Oxford University Press for the World Bank.
Lopez AD (1993) Causes of death in industrial and developing countries: estimates
for 1985-1990. In: Jamison DT et al., eds. Disease control priorities in developing
countries. New York, Oxford University Press for the World Bank, 35-50.
Lozano R et al. (1994) El peso de la enfermedad en México: un doble reto. [The
national burden of disease in México: a double challenge.] Mexico, Mexican
Health Foundation, (documentos para el análisis y la convergencia, No. 3).
Morrow RH, Bryant JH (1995) Health policy approaches to measuring and valuing
human life: conceptual and ethical issues. American journal of public health,
85(10):1356-1360.
Murray CJL (1996) Rethinking DALYs. In: Murray CJL and Lopez AD, eds.,
The global burden of disease: a comprehensive assessment of mortality and
disability from diseases, injuries, and risk factors in 1990 and projected to
2020. Cambridge, Harvard University Press.
Murray CJL and Lopez AD, eds. (1994) Global comparative assessments in the
health sector: disease burden, expenditures and interventions packages. Geneva,
World Health Organization.
Murray CJL, Lopez AD, Jamison DT (1994) The global burden of disease in 1990:
summary results, sensitivity analysis and future directions. Bulletin of the World
Health Organization, 72(3):495-509.
World Bank (1993) World development report 1993: investing in health. New
York, Oxford University Press for the World Bank.
World Health Organization. World health statistics annual, various years. Geneva,
WHO.
World Health Organization (2002). World health report 2002: reducing risks,
promoting healthy life, Geneva, WHO.
Zeckhauser R, Shepard D (1976) Where now for saving lives? Law and contemporary
problems, 40: 5-45.
Preface
This fourth volume of the Global Burden of Disease and Injuries Series
provides the reader with information on the epidemiology and burden
of major infectious and parasitic diseases. As with previous volumes of
the Global Burden of Disease study, the chapters in this book detail the
situation as experienced in the year 1990. Since then the epidemiology
of some of the conditions described has changed, and where this is the
case the authors have added a brief paragraph acknowledging this. The
chapters therefore do not provide a detailed update on the current burden
of disease, which is accommodated in the documentation of the Global
Burden of Disease 2000 and published elsewhere.
In Chapter 1 Bern focuses on diarrhoeal diseases which were a major
contributor to the global burden of infectious disease in the year 1990 and
still account for high numbers of infections in childhood. This is followed
by five detailed and focussed chapters on the burden of vaccine-preventable
diseases. In Chapters 2 and 3 Robertson and Galazka describe the epidemiology and burden of pertussis and diphtheria, respectively. In Chapter 4
Clemens and colleagues concentrate on the global epidemiology of measles
which has undergone significant change in recent years. While approximately 4 million children died of measles in 1990, it is estimated that this
number has fallen well below 1 million in 2000. In Chapter 5 Shibuya
and Murray summarise the global burden of poliomyelitis, which has
similarly been transformed by recent efforts in poliomyelitis eradication.
Birmingham and Galazka give a detailed account of the epidemiology of
tetanus in Chapter 6.
In Chapter 7 Daumerie informs the reader about the global situation of
leprosy, followed by Chapter 8 in which LeDuc describes the epidemiology
of dengue. Chapter 9 by Bundy and colleagues provides an overview of
intestinal nematode infestations, which give rise to considerable disease
burden world-wide. In Chapter 10 Thylefors and colleagues focus on
the global burden of trachoma whose epidemiology has undergone some
change in the recent past. Moncayo gives a detailed account of the burden
Preface
xxv
of Chagas’ Disease in the Americas in Chapter 11 and provides a pertinent
update on recent efforts to eliminate the disease. The volume concludes
with Chapter 12 by the late Mott and finalised by Mathers who describe
the epidemiology of schistosomiasis.
This volume summarises the burden of twelve major infectious and
parasitic diseases. Volume 3 also contained chapters detailing the global
epidemiology of HIV/AIDS and of other sexually transmitted diseases in
1990. These chapters provide information on the data sources and methodological approaches to measuring infectious disease burden that are still
relevant today for analysis of current burden, as well as for interpreting
time trends between 1990 and 2000 estimates of infectious disease burden.
It is our hope that these chapters will also stimulate further debate about
the availability and validity of the data, methods and assumptions used
to arrive at disease estimates and spur efforts to improve the availability
and quality of epidemiological data on these diseases.
This will be the final volume of the original Global Burden of Disease
and Injuries Series. The Global Burden of Disease study has stimulated
further constructive debate, methodological developments and new analyses in summary measures of population health (Murray et al. 2002), in
comparative risk assessment (Ezzati et al. 2004) and in the assessment of
priorities for interventions (Tan Torres Edejer et al. 2003). Methods and
data sources for the assessment of the burden of nutritional deficiencies,
non-communicable diseases and injuries have also evolved and are being
progressively documented as part of the Global Burden of Disease 2000
project (draft documentation is available at www.who.int/evidence/bod).
Substantial documentation of the Global Burden of Disease 2000 study
has also been published in peer reviewed journals and books, and we
anticipate that there will be further publications containing revised and
more extensive presentation of the methods and results.
CJLM
ADL
CDM
References
Ezzati M, Lopez A, Rodgers A, Murray CJL (2004) Comparative quantification
of health risks: global and regional burden of disease attributable to several
major risk factors. Geneva, WHO.
Murray CJL., Salomon, JA, Mathers CD, Lopez AD (2002) Summary measures
of population health: concepts, ethics, measurement and applications. Geneva,
WHO.
Tan-Torres Edejer T, Baltussen R, Adam T, Hutubessy R, Acharya A, Evans DB,
Murray CJL (2003) Making choices in health: WHO guide to cost-effectiveness
analysis. Geneva, WHO.
Acknowledgments
Numerous people have contributed to bring this fourth volume of the
1990 Global Burden of Disease and Injuries Series to conclusion. First
and foremost we thank Claudia Stein and Christina Bernard, our editorial
managers who were instrumental in ensuring the completion of this task.
They pursued chapter submissions with dogged determination, edited the
manuscripts, critically reviewed them for consistency with the numbers
published in Volumes 1 and 2, and organised the editorial process. Their
efforts have been invaluable in achieving the production of this book and
are very gratefully acknowledged. We are grateful to David Bramley for
expert legal advice, Kai Lashley for excellent editorial assistance, and
Kenji Shibuya and Lara Wolfson for much valued scientific input. We
gratefully acknowledge the efforts of Emmanuela Gakidou in pursuing
chapter submissions in the earlier stages of the process and Marie-Claude
von Rulach and Susan Piccolo for superb secretarial support. We also
thank Soma Ganguli, Michaela Herinkova, Petra Schuster for additional
secretarial support.
This volume has been in preparation for some time, and where authors
were unable to finalise their chapters others have completed the task,
where possible. Former authors who were unable to conclude their work
are acknowledged as co-authors in this volume. We are particularly grateful for the pioneering manuscripts of those who sadly passed away while
preparing this publication: A Galazka and K Mott. To acknowledge their
invaluable contribution to this volume and burden of disease epidemiology
at large, Maureen Birmingham and Susan Robertson have kindly taken
on the task to complete the chapters by A Galazka, and the editors that
of K Mott.
CJLM
ADL
CDM
Chapter 1
Diarrhoeal Diseases
Caryn Bern
Introduction
Diarrhoea remains a leading cause of morbidity and mortality in the world,
predominantly affecting children in developing countries. Each child in
the world experiences an average of one to three episodes of diarrhoea per
year, with incidence rates as high as 10 per year for children in some areas
(Bern et al. 1992b). During the 1990s diarrhoea was estimated to cause
20 to 25 per cent of mortality among children younger than 5 years in the
developing world (Bern et al. 1992b). Effective interventions, including
correct case management (oral rehydration therapy, continued feeding and
antibiotics in cases of dysentery), promotion of breastfeeding, and better
weaning practices, have the potential to reduce the burden of diarrhoeal
disease substantially in the future.
This chapter reviews the global burden of morbidity and mortality
from infectious diarrhoea, especially dysentery and persistent diarrhoea,
as well as examining the issues involved in reducing that burden of disease
through existing interventions.
Aetiology And Clinical Patterns
While non-infectious causes of diarrhoea may play a role, for example
among the hospitalized elderly (Lew et al. 1991), the most important
aetiological agents of diarrhoea are viral and bacterial, with rotavirus and
enterotoxigenic E. coli generally identified most frequently among children
in developing countries, and viral aetiologies playing a proportionately
greater role in industrialized settings (Bern & Glass 1994, Huilan et al.
1991). Even among the elderly, infectious diarrhoea may be an important
contributing cause of mortality (Lew et al. 1991).
Diarrhoea causes morbidity and mortality through several mechanisms.
Acute watery diarrhoea can lead to dehydration severe enough to require
hospitalization and to cause death. Rotavirus is the agent most frequently
associated with acute dehydrating diarrhoea, and primarily affects children
2
Global Epidemiology of Infectious Diseases
younger than 2 years (Kapikian & Chanock 1990). Vibrio cholerae can
cause epidemics of dehydrating diarrhoea affecting all age groups, and
may lead to high case-fatality rates in the absence of rapid public health
intervention, as in the recent epidemic among Rwandan refugees in Goma,
Zaire (Goma Epidemiology Group 1995). Dysentery, most often associated
with Shigella species, may cause death through bacteraemia or hypoglycaemia (Bennish 1991), but also is associated with a more marked effect
on growth (Black, Brown & Becker 1984a). Dysentery may present a
refractory problem in that case management depends upon treatment with
antibiotics, and resistance is a widespread problem in areas with high rates
of dysenteric morbidity and mortality (Salam & Bennish 1991).
Persistent diarrhoea, defined as diarrhoea lasting at least 14 days
(World Health Organization 1988), has been recognized recently as an
entity which carries a risk of both nutritional compromise and of mortality in excess of that for acute diarrhoea (Bhan et al. 1989, Victora et al.
1993). While enteroaggregative E. coli and cryptosporidium have been
associated with persistent diarrhoea (Bhan et al. 1989, Baqui et al. 1992a,
Henry et al. 1992), often no specific pathogen can be implicated (Lanata
et al. 1992), and serial infection with different organisms may play a role
(Baqui et al. 1992a).
Definitions and codes
Diarrhoea is a symptom complex defined by an increased number of stools
of a looser consistency than usual per 24-hour period. In a comparison
of the definitions commonly used in epidemiological studies, Baqui et al.
(1991) reported that those with the best balance of sensitivity and specificity
were 3 or more loose stools, or any number of stools containing blood, in
a 24-hour period, while the optimal definition of the end of an episode was
3 diarrhoea-free days. The authors concluded that differences in definitions,
especially of the end of the episode, made a substantial difference to the
final estimate of diarrhoeal incidence, and that validation of the definition
of diarrhoea was important to the overall validity of a study.
The ninth and tenth revisions of the International Classification of
Diseases (ICD-9 and ICD-10) classify diarrhoea according to aetiological
agent, rather than symptom complex. Because a number of agents may
cause either watery or bloody diarrhoea, and because persistent diarrhoea
is defined by duration of illness rather than aetiology, the ICD codes do
not correspond neatly to the symptom complexes described in this chapter.
An approximate mapping of symptom complexes and codes is, however,
possible (Table 1.1). Persistent diarrhoea, which is discussed below, has
been associated with a variety of aetiological agents which also cause
acute watery diarrhoea and dysentery. Thus it is not included in the table,
but may fall under any of several ICD classifications, depending on what
agent, if any, is identified.
Diarrhoeal Diseases
Table 1.1
3
International Classification of Diseases (ICD) codes
corresponding to watery diarrhoea and dysentery
Symptom complex
Aetiological agent
ICD-8 and 9
ICD-10
Watery diarrhoea
Cholera
Salmonella gastroenteritis
Bacterial food poisoning
Other bacteria
Giardiasis
Viral gastroenteritis
Gastroenteritis, presumed infectious
001
003
005
008.2–008.5
007.1
008.6
009.1, 009.3
A00
A02
A05
A04.0–A04.9
A07.1
A08
A09
Dysentery
Shigella
Campylobacter
Yersinia
Amoebiasis
Dysentery, aetiology unspecified
004
008.43
008.44
006
009.0, 009.2
A03
A04.5
A04.6
A06
A09
Methods for the measurement of diarrhoeal
morbidity and mortality
Community longitudinal studies provide the most reliable data for diarrhoeal disease incidence and, if the study size is large enough, mortality
estimates. Even for longitudinal studies, however, morbidity estimates can
be shown to vary with the intensity of surveillance, with twice-weekly
surveillance resulting in higher estimates than less frequent surveillance
(Bern et al. 1992b). For example, in one study that made regional estimates
for diarrhoeal morbidity, the reported number of episodes per child per
year was consistently higher in studies in Latin America than in studies
in India or Bangladesh, but the frequency of surveillance in the Latin
American studies was also consistently higher (Bern et al. 1992b). However, in a more recent study conducted in India with home visits every 3
days, the incidence of diarrhoea was found to be similar to that in the
most frequently surveyed Latin American communities (Bhandari, Bhan
& Sazawal 1994). This suggests that among children in the poorest communities, diarrhoeal disease incidence is remarkably similar around the
world, and that in studies with less frequent surveillance, the shorter or
less severe episodes are likely to be missed. At the same time, several studies which monitored diarrhoeal morbidity among children from different
socioeconomic strata in the same locality have demonstrated substantial
variation in incidence rates, with poorer children experiencing from 2 to
6 times the number of annual episodes as more affluent children (Araya
et al. 1986, Guerrant et al. 1983).
While longitudinal studies are best for measurement of incidence of
disease, the number of individuals followed is generally too small to
allow measurement of mortality. Hence active surveillance, survey data
and vital registration are the principal methods used for mortality assessment. For developing countries, where nearly all mortality from diarrhoea
occurs, vital registration is unreliable or incomplete, and a so-called “gold
4
Global Epidemiology of Infectious Diseases
standard” does not exist for its assessment. In addition, where vital registration is incomplete or absent, cause of death is ascertained on the basis
of verbal autopsy methods, and the sensitivity and specificity of those
methods for the diagnosis of diarrhoea and of dehydration have varied
substantially in different evaluations (Snow et al. 1992, Kalter et al. 1990).
In one study, verbal autopsy identified diarrhoeal deaths with a specificity greater than 80 per cent, but a sensitivity less than 50 per cent (Snow
et al. 1992), while in another, the performance of verbal autopsy for the
diagnosis of diarrhoea was adequate, but the identification of deaths from
severe dehydration was problematic (Kalter et al. 1990). Nevertheless,
estimates based on these methods reflect the best available data on the
magnitude of diarrhoeal mortality, and are useful for comparison to the
estimates published by the Global Burden of Disease Study (World Bank
1993, Murray & Lopez 1996).
Review of past attempts to quantify disease burden
Morbidity from diarrhoea disproportionately affects children younger than
5 years, and mortality from diarrhoea is overwhelmingly a problem of
infants and young children in developing countries. Thus, most attempts to
quantify disease burden from diarrhoea have focused on these age groups,
and on developing countries. Three methods have been used to estimate
global disease burden (Table 1.2).
Snyder & Merson (1982) developed estimates based primarily on longitudinal studies of children for morbidity, and included vital registration
data for mortality estimates. These estimates were recently updated, using
more recent longitudinal studies to estimate morbidity and including studies employing a wider range of methodologies, including vital registration
and cross-sectional surveys, to estimate mortality (Bern et al. 1992b). For
each of these studies, the empirical database was reviewed, and a median
diarrhoeal incidence and mortality rate calculated for each region for which
data were available, and for all developing countries excluding China. This
Table 1.2
Previous estimates of diarrhoeal disease burden for children
younger than 5 years in developing countries
Deaths per year Deaths per
Episodes per
(millions)
1000 per year child per year
Authors (reference)
Year
Snyder & Merson
(1982)
Bern et al. (1992b)
1982
4.6
13.6
2.2
1992
3.3
7.6
2.6
Institute of Medicine 1986
(1986)
Martines et al.
1990
(1993)
3.5
7.0
3.5
3.2
6.5
3.5
Methods
Longitudinal cohorts and
active surveillance
Longitudinal cohorts and
active surveillance
Estimated incidence
plus case fatality rate
Data from surveys using
WHO methods
Diarrhoeal Diseases
5
method requires extrapolation from available longitudinal studies, which
may not be entirely representative of the country or region.
The Institute of Medicine (1986), for the purpose of establishing priorities for vaccine development, published estimates of morbidity and mortality derived by a committee of expert researchers in the field. Based on a
review of the literature and personal field experience, the committee made
estimates of incidence by region and age group, which were combined with
estimates of distribution of diarrhoeal episodes by severity (mild, moderate,
severe, death), to yield figures for each of four regions of the developing
world. This approach depends on the accuracy of estimates by a small
group of experts, and is not derived directly from individual studies.
The third approach to estimating disease burden (Martines et al. 1993)
is based on data from 276 surveys of diarrhoeal morbidity and mortality
in 60 countries conducted between 1981 and 1986. From these data, a
median and range were calculated for each region. The methodology for
these surveys involved two-stage cluster sampling, and a standardized
questionnaire to ascertain two-week prevalence and deaths from diarrhoea
among children younger than 5 years (World Health Organization 1989)
(Table 1.3). These studies represent the source of data with the broadest
available coverage. The reliability of some national survey results have,
however, been questioned, in part because of the inadequate training or
supervision of field staff. In addition, the method used to estimate mortality,
a one-year recall by the household head, is thought to result in underestimates (Martines et al. 1993). Thus, estimates made by these methods
include an inherent uncertainty.
Table 1.3
Diarrhoeal morbidity and mortality in 276 surveys in children
younger than 5 years, using WHO methodology, 1981–1986
Region
Latin America and
Caribbean
Sub-Saharan Africa
Middle East and
North Africa
Asia and the
Pacific
India
China
Other
All regions
Source: Martines 1993
Median
Range
Diarrhoeal
deaths as
a percentage of
total
(median)
12
8
4.9
0.8–10.4
4.2
1.2–9.20
35
67
47
22
10
4.4
2.7
1.6–9.9
2.1–10.8
10.60
5.8
3.1–54.9
1.0–25.3
38
39
150
20
2.6
1.1–5.7
3.2
0.0–17.2
29
—
—
—
1
1
18
2.7
1.2
2.6
—
—
—
3.2
0.0
3.3
—
—
—
—
—
—
276
60
3.5
0.8–10.8
6.5
0.0–54.9
36
Number
of
surveys
Number
Episodes/child/year
of
countries Median
Range
Deaths per
1000 children
per year
6
Global Epidemiology of Infectious Diseases
Review of empirical databases
Children in developing countries
Because community-based studies of morbidity require intensive surveillance, the number of persons studied is generally insufficient to allow mortality measurements. Thus, the groups of empirical studies which examine
morbidity (Table 1.4) and mortality (Table 1.5) are different. With two
exceptions for which surveillance was monthly (Yang et al. 1990, Chen
et al. 1991), the diarrhoeal morbidity studies presented in these tables are
all longitudinal, community-based studies of children in developing countries, in which follow-up was at least one year, and surveillance occurred
at least every two weeks.
Mortality data from studies employing active surveillance or crosssectional ascertainment are sparse, especially for Latin America, but vital
registration data support the observation that diarrhoeal mortality rates
have declined substantially in Latin America (World Health Organization
1982, Pan American Health Organization 1991) (Table 1.6).
Many of the more recent studies presented here for Africa and Asia
were studies of interventions for acute respiratory disease (Bang et al.
1990, Pandey et al. 1989, Roesin et al. 1990, de Francisco et al. 1993,
Khan et al. 1990) or vitamin A deficiency (Daulaire et al. 1992, West et
al. 1991, Herrera et al. 1992), which included longitudinal surveillance
for cause-specific mortality. For these studies, as well as for diarrhoeal
case management intervention studies, the rates shown are for the nonintervention group or area.
Older age groups
The Institute of Medicine (1986) has estimated that 60 per cent of overall
morbidity and 90 per cent of mortality occur among children younger than
5 years. The few studies that have directly measured incidence of diarrhoea
demonstrate that older children and adults experience about 0.1 to 0.5
episodes per year, and that the incidence rises to approximately 1 episode
per year among the elderly. The results of some of these studies are seen in
Table 1.7. Mortality rates for older children and adults are substantially
lower than for children younger than 5 years (Table 1.8).
Morbidity and mortality by type of diarrhoea
Recently, persistent diarrhoea has been identified as the cause of a substantial proportion of diarrhoeal mortality (Table 1.9), although the percentage
differs by location, with a range from 23 to 70 per cent. Differences in
prevalent pathogens are likely to contribute to the variation in morbidity
and mortality by type of diarrhoea. In addition, Victora et al. (1993) suggest
that the differences in mortality may in part be attributable to differential
access to oral rehydration therapy. When properly applied, oral rehydration therapy is highly effective in treating acute watery diarrhoea (Duggan,
1985–86
early 1980s
early 1980s
1993
Urban Calcutta (Sircar et al. 1984)
Rural Andhra Pradesh (Mathur et al.
1985)
Rural Northern India (Kumar, Kumar
& Datta 1987)
Urban Uttar Pradesh (Bhandari, Bhan
& Sazawal 1994)
1986-87
Fujian (Chen et al. 1991)
1984–87
1978–79
1978–79
Bangladesh (Huttly et al. 1989)
Bangladesh (Black et al. 1982a, 1982b,
Black, Brown & Becker 1984a)
Bangladesh (Chen et al. 1981)
Other Asia and Islands
1986–87
Hebei (Yang et al. 1990)
China
1985–86
Period
1.3
6–11
4.4
0.8
0.6
2
0.5
0.6
3
0.4
0.4
4
2.4
2.0
1.7
6.0
5.0
3.8
5.5
4.3
2.3
4.5
1.6
4.5
1.7
—9.9—
—9.9
9.9—
2.7
—1.6—
1.6
1.6—
2.0
0.8
1
Age group (years)
Episodes of diarrhoea per person per year
——4.1
——
—4.1——
—
—7.0—
7.0
7.0—
2.4
— —
—4.2
—1.8—
3.1
—1.7—
1.7
1.7—
1.6
0–5
Age group (months)
Review of empirical databases on morbidity from diarrhoea: longitudinal studies measuring incidence
Rural Uttar Pradesh (Bhan et al.
1989)
India
Location
Table 1.4
4.1
5.6
2.3
2.5
2.2
1.6
1.1
0.7
0–4
continued
0.73
All ages
Diarrhoeal Diseases
7
1982–85
Ghana (Biritwum et al. 1986)
1984–86
1982–84
1982–85
1985–87
1978–79
1978–80
Peru (Lanata et al. 1989)
Peru (Lopez de Romana et al. 1989,
Black et al. 1989)
Mexico (Cravioto et al. 1988)
Mexico (Cravioto et al. 1990)
Brazil (Giugliano et al. 1986)
Brazil (Guerrant et al. 1983)
Latin America and the Caribbean
Egypt (El Alamy et al. 1986)
1982–84
1987–88
Zaire (Manun’ebo et al. 1994)
5.9
3.3
5.0
4.0
10.3
7.6
4.5
0.5
3.2
9.6
7.3
1.5
1.8
—4.0—
—4.0
4.0—
—3.0—
3.0
3.0—
9.3
1.6
3.8
2
0.7
3.0
3
7.7
6.4
1.3
1.9
3.0
0.6
2.8
4
— a—
—5.3
— b—
—4.0
—1.2c—
1.1
— —
—2.1
2.4
5.0
1.7
1
Age group (years)
Episodes of diarrhoea per person per year
—10.6—
10.6
10.6—
5.3
2.7
2.7
1982–86
Nigeria (Huttly et al. 1990, Blum et
al. 1990)
Middle Eastern Crescent
6–11
—7.3—
2.2
1981–84
0–5
Nigeria (Oyejide & Fagbami 1988a,
1988b)
Gambia (Rowland et al. 1985)
Period
Age group (months)
6.4
4.9
1.2
3.1
1.3
6.3
3.7
0–4
Review of empirical databases on morbidity from diarrhoea: longitudinal studies measuring incidence (continued)
Sub-Saharan Africa
Location
Table 1.4
1.0
All ages
8
Global Epidemiology of Infectious Diseases
Diarrhoeal Diseases
9
Santosham & Glass 1992), but has limited
impact on persistent or dysenteric diarrhoea.
3.7
3.9
4.0
0.8b
0.4c
4.0
3.0
1.5
2.1
5.6
2.0
c. More affluent urban children.
b. Poor urban children.
a. Poor rural children.
1983–86
Argentina (Grinstein et al. 1989)
1983
Chile (Araya et al. 1986)
0.6
0.8
1986–89
Chile (Ferreccio et al. 1991)
0.7
1981–84
Costa Rica (Simhon et al. 1985)
— —
—2.3
14.1
1984–86
Brazil (Schorling et al. 1990)
9.4
1982–86
Brazil (Linhares et al. 1989)
— —
—2.6
15.1
12.2
8.7
1.3
7.2
0.9
1.5
11.3
Developed countries
Diarrhoeal disease continues to cause substantial morbidity among children in developed countries, with an estimated incidence
of 1.3 to 2.3 episodes per year for children
younger than 5 years (Glass et al. 1991), an
estimate based on a review of the only four
longitudinal studies which provide relevant
data (Gurwirth & Williams 1977, Dingle,
Badger & Jordan 1964, Hughes et al. 1978,
Rodriguez et al. 1987). It is estimated that
perhaps 10 per cent of diarrhoeal episodes
in the United States entail a physician visit,
and 1 per cent a hospital admission (Glass
et al. 1991).
Lew et al. (1991) examined diarrhoeal
mortality using vital registration data from
the United States. Mortality rates ranged
from < 0.1 per 100 000 for persons 5–24
years, to 2 per 100 000 for children younger
than 5 years, and 14 per 100 000 for persons 75 years or older. The only age group
in the United States for which the diarrhoeal
mortality rate increased from 1978 to 1987
were males 25–54 years old, and this increase
appeared to be associated with acquired
immunodeficiency syndrome (AIDS). These
estimates were based on finding one of the
ICD-9 codes for diarrhoea in the underlying cause (45 per cent) or in one of the top
three positions (55 per cent) in the death
certificate. However, 51 per cent of childhood deaths and 86 per cent of those among
the elderly were coded using the ICD-9 code
558 (diarrhoea, presumed non-infectious),
despite indirect evidence based on the seasonality of deaths that a substantial proportion
were attributable to an infectious agent. This
suggests that even good vital registration
data may underestimate the contribution of
infectious diarrhoea to mortality, because in
most cases no aetiological agent is identified
before death.
1989
Tamil Nadu (Rahmathullah et al.
1990)
1983
1986–87
Kediri, Indonesia (Roesin et al. 1990)
Katmandu Valley, Nepal (Pandey et
al. 1989)
Sumatra, Indonesia (Nazir, Pardede &
Ismail 1985)
1989
1984–85
Jumla, Nepal (Daulaire et al. 1992)
1990
1978–87
Matlab, Bangladesh (Shaikh et al.
1990)
Terai, Nepal (West et al. 1991)
1975–77
Matlab, Bangladesh (Chen, Rahman &
Sarder 1980)
Other Asia and Islands
1987
1982–84
Maharashtra (Bang et al. 1990)
1984–85
Haryana (Bhandari, Bhan & Sazawal
1992)
Period
8 624
974
12 264
1 019
3 411
28 000
42 000
7 655
6 176
1 467
5 350
Type of study
Active surveillance
National survey
Active surveillance
Active surveillance
Active surveillance
Active surveillance
Active surveillance
Active surveillance
Active surveillance
Active surveillance
Active surveillance
Study characteristics
Population
18.8
70.0
5.7
19.6
9.2
<1
9.2
12.0
10.4
15.1
1–4
9.9
11.3
4.6
23.0
97.5
9.5
16.0
4.3
8.4
16.0
0–4
Diarrhoeal deaths per 1000 by age group
(years)
23
22
28
39
77
27
41
20
Diarrhoeal deaths
as percentage of
total 0–4 year
mortality
Review of empirical databases on mortality from diarrhoea: studies measuring annual deaths per 1000 children
Eight states (Tandon et al. 1987)
India
Location
Table 1.5
10
Global Epidemiology of Infectious Diseases
1988–90
1987–90
1988–89
Sudan (Herrera et al. 1992)
Guinea-Bissau (Molbak et al. 1992)
Gambia (de Francisco et al. 1993)
10 739
1986
1984
12 156
1980
Egypt (National Control of Diarrheal
Diseases Project 1988)
Egypt (El-Rafie et al. 1990)
10 418
1982–84
2 071
25 000
1 426
14 149
1 928
5 067
29 000
(total
population)
1 064
3 146
9 915
6 584
Yemen (Bagenholm and Nasher 1989)
Middle Eastern Crescent
1987
1986–88
Ethiopia (Shamebo et al. 1991)
Nigeria (Jinadu et al. 1991)
1975–78
Kenya (Omondi-Odhiambo, van
Ginaeken & Voorhoeve 1990)
1984
1982–83
1984–86
Tanzania (Mtango & Neuvians 1986)
Gambia (Greenwood et al. 1990)
1983
Central African Republic (Georges et
al. 1987)
Sub-Saharan Africa
Nationwide cluster surveys
Local registration
6-monthly ascertainment
Active surveillance
Active surveillance
6-monthly surveys
Retrospective survey
(1 year recall)
Active surveillance
Active surveillance
Active surveillance
Active surveillance
One-time cluster survey
0.8
(1–2 years)
4.5
3.1
0.9
—10.9—
(0–2 years)
27.7
11.0
7.6
11.2
4.6
15.3
5.8
62
71
85
21
17
34
44
3.5a
18.9
33
9
20
19
31
continued
14.4
19
20.0
4.0
3.0
11.4
15.9
6.8
5.6
Diarrhoeal Diseases
11
1986
Pakistan (Khan et al. 1990)
a. 9–72 months. Overall mortality unexpectedly low.
1985
Ceará, Brazil (Bailey et al. 1990)
1979–89
Ecuador (Ministry of Health, Ecuador
& Centers for Disease Control
and Prevention 1992)
1983
1988–93
El Salvador (Salvadoran Demographic
Association & Centers for Disease
Control and Prevention 1994)
Pelotas, Brazil (Barros et al. 1987,
Victora et al. 1987)
1982–93
Nicaragua (Profamilia & Centers for
Disease Control 1993)
Latin America and the Caribbean
1980–81
1 677
5 914
Children
of 7 961
women
Children
of 5 752
women
Children
of 7 150
women
1 194
2 556
8 704
1986
Type of study
Birth cohort with 6-monthly
ascertainment
Birth cohort with one-time
ascertainment
National demographic
survey (retrospective
ascertainment)
National demographic
survey (retrospective
ascertainment)
National demographic
survey (retrospective
ascertainment)
Active surveillance
Family cohort study with
active surveillance
Study characteristics
Population
Period
1–4
21.8
4.5
7.0
7.0
12.0
27.5
5.0
3.0
15.0
4.4
—5.5—
(0–2 years)
<1
5.4
3.8
14.4
9.0
11.2
0–4
Diarrhoeal deaths per 1000 by age group
(years)
23
20
31
22
50
Diarrhoeal deaths
as percentage of
total 0–4 year
mortality
Review of empirical databases on mortality from diarrhoea: studies measuring annual deaths per 1000 children (continued)
Egypt (El Alamy et al. 1986)
Location
Table 1.5
12
Global Epidemiology of Infectious Diseases
Source: Pan American Health Organization 1991
0.98
2.86
4.82
3.98
1.16
0.37
1.19
4.73
7.54
—
9.35
8.57
1.99
4.25
9.83
1.45
4.50
7.80
1.03
2.27
Deaths per 1000
children 0–4 years
9.8
26.8
26.6
23.6
13.7
7.1
10.4
22.8
29.4
—
28.1
38.4
26.1
28.3
44.6
14.3
32.3
24.6
10.0
20.1
Diarrhoeal deaths
as % of total for
children 0–4 years
1975–1979
0.50
1.11
3.02
1.56
0.37
0.24
0.31
3.01
4.85
4.09
7.46
6.56
1.32
2.69
—
0.70
2.95
5.50
0.61
1.55
Deaths per 1000
children 0–4 years
6.7
13.5
20.7
16.7
7.3
5.4
5.2
17.4
25.7
21.6
27.3
36.1
28.5
25.5
—
9.5
24.4
19.9
8.4
17.2
Diarrhoeal deaths
as % of total for
children 0–4 years
1980–1984
0.31
0.86
1.94
—
0.27
0.18
0.17
—
3.53
—
—
—
—
2.17
—
0.66
2.35
—
0.31
1.08
Deaths per 1000
children 0–4 years
4.5
12.9
17.2
—
6.1
4.9
3.4
—
23.6
—
—
—
—
24.7
—
9.4
23.0
—
5.2
13.6
Diarrhoeal deaths
as % of total for
children 0–4 years
1985–90
0.5
3.8
3.8
—
1.5
0.6
0.8
—
8.7
—
—
—
—
7.7
—
2.8
7.0
—
0.6
3.5
Diarrhoeal deaths
as % of total for
all ages
Review of databases on mortality from diarrhoea: estimated from vital registration data in Latin America and the Caribbean
Argentina
Belize
Brazil
Colombia
Costa Rica
Cuba
Chile
Dominican Republic
Ecuador
El Salvador
Guatemala
Honduras
Jamaica
Mexico
Nicaragua
Panama
Paraguay
Peru
Uruguay
Venezuela
Country
Table 1.6
Diarrhoeal Diseases
13
14
Table 1.7
Global Epidemiology of Infectious Diseases
Review of empirical databases on morbidity from diarrhoea:
morbidity in various age groups
Age group (years) and morbidity
China (Chen et al. 1991)
Episodes per person per year
0–4
2.3
Indonesia (El Alamy et al. 1986)
2 week prevalence (%)
0–4
35%
5–12
2%
>12
2%
Egypt (Nazir, Pardede & Ismail 1985)
Episodes per person per year
0–4
3.1
5–14
0.3
>14
0.1
United States (Rodriguez et al. 1985)
Episodes per person per year
0–4
1.0
5–14
0.4
>14
0.4
all ages
0.73
Disease Burden
Morbidity
Table 1.10 highlights the burden of diarrhoeal disease globally: 4 billion episodes of diarrhoea were estimated to occur each year (Murray &
Lopez 1996). More than 90 per cent of the morbidity occurs in developing countries. Based on our review of empirical data, it seems likely that
some of the regional figures in Table 1.10 are underestimates of the true
scale of morbidity. For children in the poorest socioeconomic strata, it is
likely that incidence rates are similar in India, Latin America and Africa,
and that complete ascertainment of all episodes of diarrhoea would yield
rates in the order of 8–14 episodes per year for children between 6 and 24
months, and 5–8 episodes per year for all children younger than 5 years.
The overall incidence for a region would be dependent on its socioeconomic
mix. It is therefore probable that morbidity is actually somewhat higher
than presented in Table 1.10 for Africa, India, the Middle Eastern Crescent
and Other Asia and Islands. In Africa, especially, the burden of diarrhoeal
disease for adults is undoubtedly increasing because of the magnitude of
the AIDS epidemic there.
Mortality
Table 1.11 presents summary estimates for mortality attributable to diarrhoea (Murray & Lopez 1996). Nearly 3 million people were estimated to
die each year from diarrhoeal diseases. More than 99 per cent of the deaths
occurred in developing countries and 84 per cent of all diarrhoeal deaths
were among children under 5 years in developing countries. The highest
diarrhoeal mortality rates on a regional basis were found in sub-Saharan
Africa, followed by India, the Middle Eastern Crescent, and Other Asia
and Islands. Latin America achieved an impressive decrease in diarrhoeal
mortality rates over the past 20 years, a finding corroborated by both
empirical and vital registration data.
0–4
25%
0–4
11.2
0–4
0.02
Kenya (Bradley & Gilles 1984)
Percentage of total mortality
Egypt (El Alamy et al. 1986)
Deaths per 1000 per year
United States (Lew et al. 1991)
Deaths per 1000 per year
Bangladesh (Fauveau et al. 1989) (Women only)
Deaths per 1000 per year (Percentage of total
mortality)
0–4
5–14
1.3
5–24
< 0.001
>9
1.7 (20%)
5–14
28%
5–9
1.2 (27%)
>14
0
>14
21%
15–24
0.12 (5%)
35–44
0.5 (14%)
25–54
0.003
25–34
0.4 (13%)
Age group (years) and mortality
Review of empirical databases on mortality from diarrhoea: various age groups
Bangladesh (Shaikh et al. 1990)
Deaths per 1000 per year (Percentage of total
mortality)
Table 1.8
55–74
0.02
> 74
0.14
all ages
0.014
Diarrhoeal Diseases
15
Type of study
Case-control study of
deaths
Longitudinal
N = 705
Same cohort as Baqui et
al. 1992b
Retrospective
N = 363
Population-based surveillance: women 15–44
years
Population-based
236 deaths
Population-based study
of 227 infant deaths
Longitudinal
N = 175
Retrospective study of
deaths
Population-based
227 infant deaths
Longitudinal
N = 1426
Bangladesh (Fauveau
et al. 1992)
Bangladesh (Baqui et
al. 1992b)
Bangladesh (Baqui et
al. 1993)
Bangladesh (Henry
et al. 1992)
Bangladesh (Fauveau
et al. 1989)
Bangladesh (Victora
et al. 1993)
Brazil (Victora et al.
1992)
Brazil (Schorling et
al. 1990)
Brazil (Lima et al.
1992)
Brazil (Victora et al.
1993)
Guinea Bissau (Molbak et al. 1992)
1.5
(age 0–4 years)
0.8
(age 6–11 months)
0.34
(age 0–4 years)
62
58
42b
70
62
23
59
49
Persistent
diarrhoea
28
34
24
Persistent diarrhoea Acute watery
(episodes per year)
diarrhoea
10
42
17
Dysentery
Percentage of diarrhoeal deaths attributable to:
135 diarrhoea days per year for those with and
22 for those without persistent diarrhoea
99 per cent of children seen in health care facility
during fatal illness
10 per cent of mortality atrributable to diarrhoea;
persistent diarrhoea may be important in adults
Risk factors for persistent diarrhoea: blood or
mucus in stool
Malnutrition and immune deficiency independent
risk factors for persistent diarrhoea
Risk factors for persistent diarrhoea: blood in
stool, dehydration
Peak mortality for persistent diarrhoea with
malnutrition 24–35 months
Other findings
Studies of persistent diarrhoea and distribution of mortality by type of diarrhoea
Location (references)
Table 1.9
16
Global Epidemiology of Infectious Diseases
Diarrhoeal Diseases
17
8
47
46
Population-based
146 deaths
Longitudinal
N = 677
Population-based
India (Victora et al.
1993)
Peru (Lanata et al.
1991)
Senegal (Victora et
al. 1993)
a. Case-fatality rate.
b. Includes dysentery lasting < 14 days.
Longitudinal
N = 963
India (Bhan et al.
1989)
531 deaths
Longitudinal
N = 1467
India (Bhan et al.
1986)
0.31
(age < 1 year)
0.25
(age 0–3 years)
35
CFRa 0.7
51
CFRa 14
14
Risk factors for persistent diarrhoea:
age < 6 months, ≥ 6 stools/day
Risk factors for persistent diarrhoea: blood in
stool, age 3–5 months
Risk factors for mortality: severe malnutrition,
persistent diarrhoea
Disability calculations
In longitudinal studies of diarrhoeal
morbidity, the median duration of watery
diarrhoea has been observed to be 4 to
5 days, while dysentery lasts longer, 6 to
11 days (Baqui et al. 1991, Black et al.
1982a, Lopez de Romana et al. 1989,
Black et al. 1989, Baqui et al. 1992b).
Persistent diarrhoea, by definition, lasts
at least 14 days (World Health Organization 1988).
For the purpose of calculating disability, the distribution of episodes by
category (watery, persistent or dysenteric) was assumed to be constant for
developing countries and was estimated
by WHO based on an average derived
from published sources (Bhan et al.
1989, Victora et al. 1993, Schorling
et al. 1990, Bhan et al. 1986, Baqui et
al. 1992b, Lanata et al. 1991, Henry
1991). Disability weights were assigned
according to type of diarrhoea (Tables
1.12 and 1.13). As discussed above, the
distribution of types of diarrhoea varies
widely in the developing world. In addition, persistent diarrhoea may be a more
important cause of mortality among
adults than is reflected in the World
Development Report disability estimates.
Active surveillance data from Bangladesh
suggest that diarrhoea may cause up to
10 per cent of mortality among women of
child-bearing age, more than half of that
mortality being attributable to persistent
diarrhoea (Fauveau et al. 1989).
Diarrhoea, both persistent and acute,
is associated with malnutrition. In particular, severe malnutrition is a significant
risk factor for mortality from acute diarrhoea (Bern et al. 1992a) and, more strikingly, from persistent diarrhoea (Bhan et
al. 1986, Baqui et al. 1993). Pre-existing
malnutrition has also been shown to lead
to increased duration (Black, Brown &
Becker 1984b) and severity (Tomkins
18
Table 1.10
Global Epidemiology of Infectious Diseases
Regional summary estimates for morbidity from diarrhoeal
disease
Diarrhoeal episodes (millions)
Region
All ages
Established Market
Economies
Former Socialist Economies of Europe
India
China
Other Asia and Islands
Sub-Saharan Africa
Latin America and the
Caribbean
Middle Eastern Crescent
World
< 5 years
Episodes of diarrhoea per person
per year
All ages
< 5 years
167.2
92.6
0.21
1.8
93.8
61.9
0.27
2.3
787.9
1010.3
496.7
653.1
434.5
524.1
318.2
301.0
444.4
225.6
0.93
0.89
0.73
1.28
0.98
4.5
2.3
4.0
5.0
4.0
430.3
307.7
0.86
4.0
4073.9
2275.4
0.77
3.6
Source: Murray & Lopez 1996.
Table 1.11
Regional summary estimates for mortality from diarrhoeal
disease
Diarrhoeal deaths
(thousands)
Region
Established Market
Economies
Former Socialist Economies of Europe
India
China
Other Asia and Islands
Sub-Saharan Africa
Latin America and the
Caribbean
Middle Eastern Crescent
World
All ages
< 5 years
Mortality rate from diarrhoea (deaths per 1000)
All ages
< 5 years
Diarrhoeal deaths as
percentage of total
mortality
All ages
< 5 years
<0.1
0.4
3
<1
0.003
0.007
4
4
0.01
0.1
0.1
3.5
922
93
397
950
153
733
50
352
809
130
1.1
0.1
0.6
1.9
0.4
6.3
0.4
4.1
8.6
2.3
9.8
1.0
7.2
11.6
5.1
22.6
4.7
21.8
20.1
18.4
424
402
0.8
5.0
9.3
21.6
2946
2480
0.6
3.9
5.8
19.4
Source: Murray & Lopez 1996.
1981) of diarrhoea. Diarrhoeal disease can affect growth in the short
term (Henry et al. 1987) and long term (Black, Brown & Becker 1984a,
Guerrant et al. 1983). This may depend on the type of diarrhoea, with
dysentery having a more marked effect on linear growth (Black, Brown
& Becker 1984a). It has been shown that sustained nutritional supplementation can obviate the nutritional consequences of diarrhoea in young
children (Lutter et al. 1989), but that without supplements, there may be
lifelong consequences for growth (Rivera & Martorell 1988).
Diarrhoeal Diseases
Table 1.12
19
Estimates for distribution of episodes by type of diarrhoea
according to age
Percentage of episodes attributable to
Age (years)
Watery
diarrhoea
Persistent
diarrhoea
80
89
90
90
85
10
1
0
0
0
0–4
5–14
15–44
45–59
≥ 60
Percentage of mortality attributable to
Dysentery
Watery
diarrhoea
Persistent
diarrhoea
Dysentery
10
10
10
10
15
50
75
80
80
85
35
5
0
0
0
15
20
20
20
15
Source: WHO.
Table 1.13
Assignment of disability weights according to type of
diarrhoea; classification used for calculation of disabilityadjusted life years
Percentage assigned to severity classa
Type of diarrhoea
Acute watery
Persistent
Dysentery
I
II
III
IV
70
50
20
40
40
10
10
40
20
a. Severity classes based on limited ability to perform activities in the following areas: recreation, education,
procreation or occupation. Class I denotes limited ability to perform at least one activity in one of these
areas. Class II denotes limited ability to perform most activities in one area. Class III denotes limited ability
to perform most activities in two or more areas. Class IV denotes limited ability to perform most activities
in all areas.
Conclusion
Oral rehydration therapy (ORT) is the major intervention that has been
promulgated globally for control of morbidity and mortality from diarrhoeal disease. ORT is not a primary intervention, in that it does not affect
incidence of diarrhoeal disease, but it has been shown to be effective in
reducing hospitalizations and mortality from diarrhoea in intensive studies
(Oberle et al. 1980, Rahaman et al. 1979, Heymann et al. 1990). It has
been more difficult to demonstrate an effect of ORT diarrhoeal control
programmes on a larger scale (Santosham & Greenough 1991). Data
from the Egyptian national programme have demonstrated a decrease in
mortality over the 1970s and 1980s (National Control of Diarrheal Diseases Project 1988), but the decrease in mortality had begun before the
programme was in place, suggesting that other changes, such as socioeconomic development with attendant improvements in nutrition, sanitation
and water, may have been at least partly responsible.
WHO estimates suggest that increased global access to ORT coupled
with methods to improve usage have the potential to decrease global mortality from diarrhoea (World Health Organization 1992). The extent to
which this will be effective will depend upon the proportion of mortality
resulting from acute watery diarrhoea in the locality in question (Victora
20
Global Epidemiology of Infectious Diseases
et al. 1993). Recent data on diarrhoeal mortality attributable to persistent
diarrhoea and dysentery suggest that once ORT use is high, further reduction of diarrhoeal mortality will depend upon additional interventions
such as improved case management, hygiene education, encouragement of
breast-feeding, improved sanitation, and general socioeconomic development (Feachem, Hogan & Merson 1983, Esrey, Feachem & Hughes 1985,
Feachem 1984, Ashworth & Feachem 1985, Feachem & Koblinsky 1984,
Ronsmans et al. 1991), all of which are more difficult to implement. Thus,
in areas where diarrhoeal mortality is very high and ORT access is low,
such as sub-Saharan Africa, a large fraction of deaths may be preventable
through improved ORT access and education, while areas such as Brazil
may already be at the point where further reduction will require other
interventions in addition to the maintenance of ORT promotion.
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management, morbidity, and mortality. Geneva, World Health Organization
(Document CDD/SER/86.2 Rev.1).
World Health Organization (1992) Eighth programme report 1990–1991. Geneva,
World Health Organization.
Yang CR et al. (1990) Diarrhoea surveillance in children aged under 5 years in a
rural area of Hebei Province, China. Journal of Diarrhoeal Diseases Research,
8:155–159.
Chapter 2
Pertussis
Artur M Galazka, Susan E Robertson
Introduction
“The severity of whooping cough…is much underrated, both in the
direct and the indirect damage it causes to the health, growth and
resistance of young children…. Deaths are inordinately frequent
among infants aged less than one year. As a world problem of preschool children, whooping cough is in the front rank of acute infections…. Despite all this, the disease continues to be lightly regarded
by the public, and also by many physicians.”
This situation analysis was reported by Gordon & Hood in 1951, but it
remains for the most part true today. Over the past three decades, immunization programmes have been implemented successfully in most countries of the world, and morbidity and mortality attributable to pertussis
have declined dramatically (Galazka 1992). Since the 1970s, however, six
developed countries (Germany, Italy, Japan, Sweden, United Kingdom,
and United States of America) have grappled with low levels of pertussis
vaccination, leading to substantial problems with this disease in places
where it had previously been well controlled. The underlying causes of
this situation include apathy and complacency on the part of physicians
and parents, negative attitudes toward immunization spread by anti-immunization pressure groups, and litigation over liability for alleged vaccine
related injuries (Galazka 1992, Mortimer 1988).
In developing countries, coverage with a primary series of three doses
of diphtheria-pertussis-tetanus (DPT) vaccine in infants reached 81 per
cent in 1995 (Expanded Programme on Immunization 1996). There were,
however, considerable differences in coverage rates between WHO regions
(58 per cent in Africa compared with 92 per cent in the Western Pacific)
and, likewise, between and within countries. Failure to reach and maintain high immunization coverage in developing countries is the result of
multiple factors, including weak management of immunization services,
30
Global Epidemiology of Infectious Diseases
inadequate resources, missed opportunities to immunize eligible children,
and ineffective motivation of mothers to return to complete immunization
series for their infants.
In developing countries, pertussis has not received the epidemiological
attention given to measles or to infections with the other major respiratory
viral and bacterial pathogens (Wright 1991). In countries where conditions predispose to early acquisition of disease, where malnutrition and
concomitant diseases worsen early infections, and where preventive and
curative interventions remain unsatisfactory, the burden from pertussis is
still significant.
Causative agent
The majority of classic pertussis cases result from infection with Bordetella pertussis, a pathogenic organism with marked tropism for ciliated
cells of the respiratory epithelium. B. pertussis is a natural pathogen for
humans only. Pertussis-like illness can also be seen with infection by B.
parapertussis and adenovirus types 1, 2, 3, and 5.
Characteristics of pertussis
 Clinically, pertussis is unrecognizable in the first, catarrhal stage and
becomes a real disease only afterwards, when temperature is normal
and the patient is not so much sick as afflicted.
 Pathologically, changes in the respiratory tract are neither deep-seated
nor general since the primary infection attacks superficial mucous membranes. Yet deaths occur and resistance to a second attack continues for
a long time. In spite of its being a bacterial infection, pertussis resembles
a superficial mucosal viral infection such as those with influenza and
respiratory syncytial viruses (Wright 1991).
 Epidemiologically, the age distribution of deaths is different from that
of other communicable diseases of childhood; deaths from pertussis in
the first year of life are inordinately frequent because of lack of passive
protection acquired from the mother.
Clinical aspects
Phases of disease
Pertussis is an exhausting illness that can persist for several months. The
incubation period lasts for 7 to 13 days. This is followed by the catarrhal
(or prodromal) phase, which lasts for one to two weeks. Patients in the
catarrhal phase exhibit only mild symptoms of an uncomplicated upper
respiratory infection with rhinorrhoea, conjunctivitis, lacrimation, mild
cough, and low-grade fever. This phase is indistinguishable from a viral
infection, making it virtually impossible to diagnose pertussis clinically at
Pertussis
31
this point, except in the setting of an epidemic or known exposure. The
catarrhal stage is the most infectious period and transmission occurs by
airborne droplets.
The paroxysmal phase, which follows, usually lasts for 2 to 4 weeks,
but occasionally persists as long as 20 weeks. It is characterized by a
repetitive series of paroxysmal coughs during a single expiration, followed
by a sudden massive inspiratory effort that produces a “whoop” as air is
inhaled forcefully against the narrowed glottis. Facial redness or cyanosis,
bulging eyes, protruding tongue, lacrimation, and salivation are commonly
seen during paroxysms. Haemoptysis, subconjuctival haemorrhages, and
hernias may result from severe paroxysms. Young infants may experience
apnoea. The coughing is so severe that the patient is commonly unable to
eat or sleep. The coughing paroxysm may lead to vomiting of sufficient
severity to result in weight loss and malnutrition, especially in young infants
with borderline nutritional status (Morley, Woodland & Martin 1966).
The final phase of pertussis is the convalescent phase, when paroxysmal episodes gradually decrease in frequency and severity. Coughing may
persist for months, especially in association with subsequent respiratory
infections. With each such infection the cough may return, although it will
not be as severe as in the initial stage.
The course of the disease may be influenced by immunization against
pertussis. Among 100 Finnish children with culture-confirmed pertussis,
all unimmunized patients showed typical pertussis with paroxysmal cough
and whoops, while among immunized patients, 43 per cent developed
typical pertussis, 49 per cent had atypical disease (with paroxysmal cough
but no whoops), 6 per cent had an abortive form of pertussis with sore
throat, slightly elevated temperature and transient coughing, and 2 per cent
were asymptomatic carriers (Huovila 1982). The disease is more severe
in unimmunized individuals, as judged by rates of admission to hospital.
Among 1265 children aged 1–4 years, 1.8 per cent of immunized children
required hospital admission compared with 7.3 per cent of unimmunized
children (Ramsay, Farrington & Miller 1993).
Diagnosis
Typical cases of pertussis with characteristic cough are easily diagnosed
on clinical grounds by health workers and parents who have had previous
experience with pertussis manifestations. However, in young infants the
presentation of pertussis may be atypical, without the distinctive whoop
(Cherry et al. 1988, Walker 1981). Symptoms may be milder in partially
immunized individuals and in fully immunized older children or adults
with waning immunity.
Problems in laboratory diagnosis of pertussis contribute to the substantial underreporting of cases (Halperin, Bortolussi & Wort 1989, Onorato
& Wassilak 1987). Isolation of B. pertussis from nasopharyngeal swabs
remains the gold standard for the diagnosis of pertussis infection. Isolation of the organism is, however, fraught with potential difficulties. To
32
Global Epidemiology of Infectious Diseases
ensure a reasonable chance of bacterial identification, special care must
be taken with preparation of culture plates, transport of specimens, and
identification of colonies (Wright 1991). Under ideal conditions, 80 per
cent of suspected cases can be confirmed by culture, but in most clinical
situations isolation rates are much lower (Onorato & Wassilak 1987).
The isolation rate of the organism from the respiratory tract is greatest
during the catarrhal phase. The frequency of positive culture diminishes
when specimens are taken more than two weeks after onset of symptoms
or when patients are receiving antibiotics or have been previously immunized (Onorato & Wassilak 1987).
Fluorescent antibody staining has been used for the identification of B.
pertussis in direct smears from nasopharyngeal swabs and for identification
of organisms growing on plates. Fluorescent antibody testing offers the
advantage of more rapid laboratory identification; however, this method
is less sensitive and less specific (Halperin, Bortolussi & Wort 1989).
Serological methods involve measurement of IgG and IgA antibodies
to pertussis toxin (PT) and filamentous haemagglutinin (FHA) using the
ELISA method. There is a significant rise of ELISA IgG titres to PT and
FHA during the pertussis infection. In unimmunized children, a combination of these two determinations and the ELISA IgA for FHA seems
to be the most sensitive method for serological diagnosis of pertussis. In
immunized persons, however, the interpretation of serological test results
is complicated since it is not possible to distinguish between antibodies
produced in response to natural infection and antibodies produced following immunization.
Treatment
The treatment of pertussis is mainly supportive. In severe cases it is critical to prevent hypoxia and pulmonary complications. Delivery of oxygen
and gentle suction to remove profuse, viscid secretions may be required,
particularly in infants with pneumonia and significant respiratory distress.
Maintenance of hydration and nutrition is important.
The efficacy of antibiotic therapy with erythromycin depends on the
time of its administration. When given during the incubation period, it
can prevent the disease or modify its course. When given early in the
catarrhal stage, erythromycin can reduce symptoms and/or shorten the
course of the disease. Initiation of erythromycin treatment within 7 days
after cough onset may be associated with a shorter duration of cough
and fewer whoops (Bergquist et al. 1987, Farizo et al. 1992, Steketee et
al. 1988). Among children under 12 months of age, those who received
erythromycin (irrespective of timing of therapy) were significantly less
likely to have pneumonia than those who did not receive such therapy
(Farizo et al. 1992). Erythromycin treatment shortens the period of communicability and thus may be useful in an epidemic situation (Bergquist
et al. 1987, Huovila 1982).
Pertussis
33
Epidemiological aspects
Communicability
Pertussis is a highly communicable disease. It is likely that no one escapes
pertussis in the absence of immunization. By the age of 16 years, almost
100 per cent of children have suffered an episode of pertussis but about
25 per cent of episodes are unrecognized (Thomas 1989). This has been
demonstrated by data from epidemic investigations, studies of secondary
spread within families, and serological surveys. In pertussis epidemics,
attack rates in unimmunized children are high, ranging between 11 per
cent and 81 per cent depending on age (Table 2.1). The high degree of
communicability has been repeatedly demonstrated by secondary attack
rates of 70 to 100 per cent among susceptibles within families (Gordon
& Hood 1951).
In Sweden, one study of 372 unvaccinated children showed how the
cumulative proportion with clinically typical pertussis increases with age:
12 per cent by age 2 years, 35 per cent by age 4 years, 55 per cent by age
6 years, and 61 per cent by age 10 years. Furthermore, an additional 25
per cent of children who did not experience clinical disease had a mild
or atypical disease, as evidenced by IgG antibody against pertussis toxin
(Isacson et al. 1993).
Age distribution of pertussis cases
The epidemiological pattern of pertussis is influenced by the age-specific
proportions of susceptible and resistant individuals in the community.
Although no specific antibody against B. pertussis antigens has been
Table 2.1
Pertussis attack rates, by age, during pertussis outbreaks in
Côte d’Ivoire, Guatemala, and Indonesia
Attack rate (percentage), by country and year of outbreak
Age in years
Côte d’Ivoire 1982
Guatemala 1968
Indonesia 1983
<1
1
2
59
46
77
35
40
45
50
3
4
71
63
47
20
5
6
61
40
7
8
9
10–14
63
—
—
—
11
1
—
Total
62
19
68
76
81
63
65
Sources: Côte d’Ivoire: Sokal, Soga & Imboua-Bogui 1986, Guatemala: Mata 1978, Indonesia: Expanded
Programme on Immunization 1984
34
Global Epidemiology of Infectious Diseases
convincingly shown to be responsible for immunity against the disease,
the antibody prevalence at different ages may be a valuable index of the
exposure to pertussis antigens. The proportion of persons with measurable IgG antibodies against pertussis toxin (PT), considered an important
antigen in the pathogenesis of the disease, increases with age, reflecting
contact with B. pertussis organisms. The rate of this increase seems to be
more rapid in developing countries than in developed countries. In Cameroon, 82 per cent of children were seropositive by 10–11 years of age
(Stroffoloni et al. 1991), compared with 67 per cent of Italian children
11–12 years of age (Stroffolini et al. 1989). In New Zealand only 39 per
cent were seropositive by 15 years of age (Lau 1989).
Before the introduction of pertussis immunization, the peak of the
reported incidence was in children 1–4 years of age (Figure 1). In Sweden,
where pertussis vaccination was discontinued in 1979, 69 per cent of cases
in 1980–1985 occurred in children 1–6 years of age (Romanus, Jonsell
& Bergquist 1987). In Kenya during 1974–1977 prior to widespread
introduction of pertussis vaccine, 87 per cent of pertussis cases occurred
in children 6 years of age or younger, with a median age of 3.5 years, and
highest attack rates in children 3–4 years of age (167 cases per 1000) and
infants (159 per 1000) (Voorhoeve et al. 1978).
The introduction of widespread immunization against pertussis has
changed the pattern of the disease (Figure 2.1). Apart from a considerable reduction in the number of cases and abolishing the endemic pattern
Figure 2.1
Poland
Percentage distribution of pertussis cases before (grey bars)
and after (black bars) widespread use of pertussis vaccine,
Poland (1971 versus 1991), United States (1918–21 versus
1980–89)
<1 year
1–4 years
5–14 years
USA
<1 year
1– 4 years
5–9 years
>10 years
0%
10%
20%
30%
Sources: Gordon & Hood (1951), Adonajlo (1975,1993), Farizo et al. (1991).
40%
50%
60%
Pertussis
35
of the disease, there has been a clear change in the age distribution of
pertussis morbidity.
The scope of these changes differs depending on the schedule of vaccine
delivery and the coverage rates achieved. In Poland, for example, the most
noticeable reduction of pertussis morbidity has been among children 1–4
years of age and the peak incidence has shifted to infants. Infants represented only 12 per cent of all pertussis cases in Poland 1973, compared
with 49 per cent in 1993 (Adonajlo 1975, 1993). In the United States of
America during 1980–1989, children under one year of age accounted
for nearly 50 per cent of all cases; the incidence rate among infants was
nearly 10 times higher than that among children of 1–4 years of age, and
more than one hundred times higher than that among adolescents or adults
(Farizo et al. 1992).
There is a lack of reliable information from developing countries on
the influence of pertussis immunization on age-specific pertussis morbidity. Data from pertussis epidemics during the pre-vaccine era in Côte
d’Ivoire (Sokal, Soga & Imboua-Bogui 1986), Guatemala (Mata 1978)
and Indonesia (Expanded Programme on Immunization 1984) show that
incidence rates were highest in children aged 1–4 years (Table 2.1). These
findings are similar to the situation observed in developed countries in
the pre-vaccine era.
Death rates
Before the mid-20th century, pertussis was a major cause of childhood
mortality. Uttley (1960) has compared the evolution of pertussis mortality under the age of 15 years in England and Wales with the mortality
in Antigua, a small Caribbean island with relatively accurate mortality
statistics going back more than 100 years. In the latter half of the 19th
century, pertussis death rates were about the same in England and Wales,
and in Antigua; in both places nearly 1 in 1000 children under 15 years
of age died from pertussis. In England and Wales, death rates began to
decline by the end of the 19th century and had fallen to 20 per million
by the 1960s. In contrast, the rates in Antigua did not show significant
changes until the mid-20th century. In the 1950s, death rates in Antigua
were still ten times higher than in England and Wales. Improved economic
conditions, better nutrition, decreasing family size and falling birth rates
were probable factors contributing to these decreases in pertussis mortality
(Gordon & Hood 1951).
Age is an important determinant of pertussis severity and prognosis.
The case fatality rate (CFR) is highest in infants (Table 2.2). Infants under
6 months and children born prematurely or with congenital disorders are
especially vulnerable to pulmonary complications and suffer higher fatality
rates than other groups.
In the United States of America, the pertussis CFR declined from
high levels in the 1920s (Gordon & Hood 1951) to 0.4 per cent in the
36
Table 2.2
Global Epidemiology of Infectious Diseases
Pertussis case fatality rates, by age, United States of America
1927–1989, England and Wales 1980–1991, and Kenya
1974–1976
Fatality rate (percentage)
Hospital data, Detroit, USA
Age group
National surveil- National surveil- Biweekly houselance system,
lance system,
hold visits, rural
USA
England and Wales community, Kenya
1927–1929
1950
1980–1989
0 months
1 month
2 months
3 months
4 months
5 months
6–11 months
< 1 year
1–4 years
5–9 years
10–14 years
15–19 years
20+ years
—
—
—
—
—
—
—
42.3
19.2
2.9
—
—
—
—
—
—
—
—
—
—
3.3
2.2
5.3
—
—
—
1.3
1980–1991
0.3
0.17
0.3
0.6
0.3
< 0.1 0
0
0
0.1
0.07
0.3
0.007
0.005
0.01
—
—
Total
22.2
3.1
0.4
0.02
1.3
0.5
0.3
1974–1976
—
—
—
—
—
—
—
3.2
1.5
0.05
Sources: United States, Detroit: Gordon & Hood (1951), United States, national: Farizo et al. (1992), England
and Wales: Miller,Vurdien & White (1992), Kenya: Mahieu et al. (1978)
1980s (Farizo et al. 1992), although the rate remained above 1 per cent
in infants under 2 months of age (Table 2). In England and Wales, the
overall CFR was 0.02 per cent in 1980–1991 (Miller, Vurdien & White
1992). In Sweden, where routine immunization against pertussis was
stopped in 1979, three deaths were reported among 2282 hospitalized
patients in 1981–1982, yielding a CFR of 0.13 per cent (Romanus, Jonsell
& Bergquist 1987).
Data on hospitalized patients in developing countries show a high CFR,
ranging from 3.3 per cent in South Africa (Ramkissoon, Coovadia &
Loening 1989) to 9 to 16 per cent in Kenya (Fendall & Grounds 1965),
Nigeria (Omololu 1965, Morley Woodland & Martin 1966), and Uganda
(Bwibo 1971). In these studies, CFR was dependent on age, with the highest rates among infants.
Hospital data may be biased since young and more severely ill patients
and those with complications are those more likely to be hospitalized,
influencing the high CFR reported. Thus, the CFR is lower in community-based surveys and in outbreak data. CFRs have ranged from 0.3 per
cent in an urban outbreak in the immunized population in South Africa
(Strebel et al. 1991) to 1–3 per cent in rural areas of Kenya (Mahieu et
al. 1978, Voorhoeve et al. 1978), Côte d’Ivoire (Sokal, Soga & ImbouaBogui 1982) and among Mexican Indians (Heimgartner 1977). In 1968
Pertussis
37
there was a pertussis outbreak with high mortality in one community in
Guatemala, with a CFR approaching 15 per cent for children less than 15
years of age (Mata 1978).
Only a few countries report the number of deaths attributable to pertussis. In countries that report mortality data, there is evidence that pertussis
may be responsible for many more deaths than official mortality statistics
show (Miller & Farrington 1988). Analysis of trends in infant mortality
rates from infectious respiratory illness has shown an excess of 460 to 700
deaths in England and Wales coinciding with pertussis outbreaks over the
period 1977–1982; this amounts to 14 to 22 times the number of pertussis
deaths reported during this period (Nicoll & Gardner 1988).
Complications following pertussis
There are three major categories of complications following pertussis:
respiratory, neurological, and nutritional.
Respiratory complications
The most frequent complications are respiratory (Table 2.3). Pulmonary
involvement may be sufficiently severe to compromise respiratory function
and cause death. The majority of full-blown cases of pertussis exhibit atelectasis or bronchopneumonia or both. Bronchopneumonia was reported
in 14 to 15 per cent of hospitalized cases in Sweden (Romanus, Jonsell &
Bergquist 1987) and the United States of America (Farizo et al. 1992), 26 to
37 per cent in the United Kingdom (Miller & Fletcher 1976, Walker et al.
1981) and 74 per cent in South Africa (Ramkissoon, Coovadia & Loening
1989). Pulmonary complications were clearly age-dependent and ranged
from 22 to 32 per cent in infants, to 4 to 17 per cent in children over 5
years of age (Farizo et al. 1992, Walker et al. 1981). Apnoea was noted in
2 to 5 per cent of hospitalized cases (Swansea Research Unit of the Royal
College of General Practitioners Unit 1987, Walker et al. 1981).
Controversy surrounds the issue of whether children who have had
pertussis may have long term respiratory sequelae. One study found that
children who had experienced pertussis under 5 years of age showed long
term respiratory sequelae, such as deterioration of lung function, increase
in respiratory symptoms, and increased admission to hospital for both
upper and lower respiratory conditions (Swansea Research Unit of the
Royal College of General Practitioners 1985). In another study, children
who had been hospitalized for pertussis when younger than one year,
approximately 9 years previously, showed more respiratory symptoms
than controls, although the differences were not statistically significant,
and there were no significant differences between cases and controls in
lung function indices or in bronchial reactivity (Johnston et al. 1986).
Neurological complications
There may be a wide variety of neurological manifestations, most common of which are convulsions and altered consciousness. Acute neuro-
38
Table 2.3
Global Epidemiology of Infectious Diseases
Complication rates attributable to pneumonia, seizures, and
encephalopathy among pertussis patients in seven studies
Percentage of patients with
Country,
study period
Reference
Type of study
Age group
Pneumonia
Seizures
Encephalopathy
South Africa
1982–1987
Ramkissoon, Hospital
Coovadia
study
& Loening
1989
All ages
74.0
—
6.9
Sweden
1981–1983
Romanus,
Jonsell &
Bergquist
1987
Hospital
study
All ages
14.0
3.2
0.5
UK
1977–1979
Swansea
Research
Unit 1981
Telephone
All ages
survey of
general practitioners
0.8
0.6
0.1
UK
1969–1980
Walker et al. Hospital
1981
study
< 3 months
3–5 months
6–11 months
1–4 years
5 years
0–5 years
32.0
26.0
27.0
26.0
17.0
26.0
—
—
—
—
—
4.0
—
—
—
—
—
—
USA
1980–1989
Farizo et al.
1992
National
surveillance
system
0–1 month
2–3 months
4–5 months
6–11 months
< 12 months
1–4 years
5–9 years
10–19 years
20+ years
All ages
24.7
22.5
18.8
19.3
21.7
12.3
5.0
4.0
2.9
14.6
4.1
2.7
1.8
3.1
3.0
2.1
0.9
0.5
0.8
2.2
1.4
1.0
0.5
0.7
0.9
0.4
0.4
0.2
0.5
0.7
USA
1985–1989
Sutter &
Cochi 1992
Hospital
study using
national
surveillance
system
All ages
31.0
3.7
1.2
USA
1985–1989
Sutter &
Cochi 1992
Hospital
discharge
database
All ages
20.0
2.1
0.2
logical manifestations may also include hemiplegia, paraplegia, ataxia,
aphasia, blindness, deafness, and decerebrate rigidity. Central nervous
system complications are apparently secondary to anoxia and/or cerebral
haemorrhages caused by raised intracranial pressure during episodes of
paroxysmal coughing or encephalitis.
The risk of neurological complications is markedly age dependent
Pertussis
39
(Table 2.3). It is higher in young infants and negligible in older children.
Occasionally, cases of neurological complications after pertussis have
been reported in adults (Halperin & Marrie 1991). Estimates of the risk
of encephalopathy associated with pertussis are not precise because they
are based on hospital cases and do not include in the denominator the
much larger number of pertussis cases that do not require hospitalization
(Mortimer 1992). In hospitalized series, convulsions were noted in 3.7 to
4 per cent (Miller & Fletcher 1976, Walker et al. 1981, Sutter and Cochi
1992) and encephalopathy in 1.2 to 6.9 per cent (Ramkissoon, Coovadia
& Loening 1989, Sutter & Cochi 1992). Data from routine reporting
systems or outbreak investigations indicate a frequency of encephalopathy
between 0.1 and 0.7 per cent (Swansea Research Unit 1981, Romanus,
Jonsell & Bergquist 1987, Farizo et al. 1992) and a frequency of convulsions between 0.08 and 3.2 per cent (Swansea Research Unit 1981, 1987,
Farizo et al. 1992, Romanus, Jonsell & Bergquist 1987).
Complications involving the central nervous system may result in
permanent sequelae. Zellweger (1959) estimated that among patients
with pertussis encephalopathy, one-third will survive and appear normal,
one-third will survive with sequelae, and the remaining one-third will die.
Early studies, largely in the pre-vaccination era, suggested an association
between pertussis and mental retardation or behavioural disturbance. The
prognosis of pertussis encephalopathy depends on the severity of the symptoms. Although simple seizures may have no sequelae, mental retardation
or residual sensory and motor deficit may occur after more severe disease
(Halperin & Marrie 1991). A large longitudinal cohort study in Britain
found that children who had been hospitalized for pertussis were three
times more likely to be intellectually abnormal (Butler et al. 1982). Another
study in the United Kingdom suggested that convulsions or apnoea as a
complication of pertussis may be associated with subsequent intellectual
impairment; the study group of children had a significantly lower median
intelligence quotient and poorer school attainment than control groups
of children who had never had pertussis or who had pertussis without
complications (Swansea Research Unit 1987).
Nutritional complications
Nutritional problems related to repeated vomiting are occasionally of
major importance. Inability to maintain adequate caloric intake is a severe
problem in previously malnourished children who develop pertussis, a
frequent experience in the least developed countries (Morley, Woodland
& Martin 1966).
Hospitalization rates
The likelihood of hospitalization in pertussis cases depends on various factors. Younger patients with more severe pertussis illness are hospitalized
more frequently and for longer periods than those who are older and have
40
Global Epidemiology of Infectious Diseases
less severe disease. Infants less than 6 months of age have the highest rate
of hospitalization. In the United States of America during 1980–1989, the
reported hospitalization rate for pertussis cases was 43 per cent overall,
with 69 per cent among infants, 26 per cent in children 1–4 years of age
and 6 to 9 per cent in persons over 5 years of age (Farizo et al. 1992).
Outbreak investigation data found lower hospitalization rates of 46 per
cent for infants and 4 per cent for patients older than one year (Sutter &
Cochi 1992). In Sweden, the hospitalization rate attributable to pertussis
was 12 to 18 per cent for all ages (Romanus, Jonsell & Bergquist 1987).
In the United Kingdom, almost 10 per cent of patients were admitted to
hospital and this proportion ranged from 60 per cent in children less than
6 months of age compared with 3 per cent in those over 3 years of age
(Miller & Fletcher 1976).
Other reasons for hospitalization included additional medical factors,
such as congenital heart disease, prematurity, asthma or social reasons
(Miller & Fletcher 1976). In the United States of America, the average
length of inpatient stay was 7 days in 1980–1989 (Farizo et al. 1992). In
Sweden, the mean duration of hospital stay was 8 days for infants younger
than 6 months, 6 days for children 6–11 months of age, and 4 days for
patients older than 12 months (Romanus, Jonsell & Bergquist 1987). In
the United Kingdom, the mean duration of hospital stay was 15.2 days,
ranging from 17.8 days in children under 6 months of age to 13.8 days
in children over 5 years of age (Miller & Fletcher 1976). In South Africa,
the average duration of hospital stay was 13 days (Ramkissoon, Coovadia
& Loening 1989).
Impact of pertussis on child and family health
Even today, pertussis may be a prolonged, severe and frightening disease
occasionally resulting in serious sequelae. The disease causes considerable
distress to both child and family (Johnston et al. 1985). Because of the longlasting course of the disease, pertussis patients are exhausted, lose appetite
and weight, and have disturbed sleeping habits. Eight weeks following onset
about one-third of children still have symptoms affecting their behaviour.
Behavioural changes observed in pertussis patients include irritability,
anxiety, and setbacks in development (Mark & Granstrom 1992).
Pertussis becomes a “family affair” (Mortimer 1990) because of social
and economic consequences for the afflicted families. Episodes of choking,
apnoea or cyanosis in ill children are distressing events for the entire family. One study reported disturbed sleep for 78 per cent of parents, with 53
per cent having to attend to the child 4 times or more each night (Mark
& Granstrom 1992). The economic consequences of the disease include
expenses for medical visits and drugs, and the need to stay at home from
work for a prolonged period to take care of the ill child.
Pertussis
41
Reported pertussis morbidity
Case definitions
The ninth revision of the International Classification of Diseases (ICD-9)
codes related to pertussis are listed in Table 2.4 (World Health Organization
1975). The ICD-9 has a major category for “whooping cough” (ICD-9
033) which includes diseases caused by all three species of the bacterial
genus Bordetella. The subcategories are as listed in Table 2.4. B. pertussis
(ICD-9 033.0) causes pertussis, which is the disease entity described in this
chapter. B. parapertussis (ICD-9 033.1) usually causes milder respiratory
disease and is much less common than pertussis. B. bronchiseptica (ICD-9
033.8) causes tracheobronchitis, and is uncommon.
The International Nomenclature of Diseases gives the following synonyms for pertussis: chin cough, morbus cucullaris, and whooping cough;
however, it is noted that the term “whooping cough” applies to a clinical
manifestation that is not always present (Council for International Organizations of Medical Sciences & World Health Organization 1985). The
International Nomenclature of Diseases indicates that the term “pertussis”
should be reserved for disease caused by B. pertussis, and should not be
used for disease caused by B. parapertussis or B. bronchiseptica.
For purposes of surveillance, the following case definitions have been
recommended by the World Health Organization (Strassburg 1984):
 A suspect case of pertussis arises when an individual with a history of
severe cough also has a history of any one of the following:
• cough persisting 2 or more weeks;
• fits of coughing; cough followed by vomiting.
 A probable case of pertussis is a suspect case with any one of the fol-
lowing:
• typical findings on physical investigation by a qualified health
worker: in young infants prolonged coughing (sometimes without
Table 2.4
Ninth Revision of the International Classification of Diseases
(ICD-9) codes for pertussis
Code
Description
033
Whooping cough
Includes: pertussis
Use additional code, if desired, to identify any associated pneumonia
Bordetella pertussis [B. pertussis]
Bordetella parapertussis [B. parapertussis]
Whooping cough attributable to other specified organism
Bordetella bronchiseptica [B. bronchiseptica]
Whooping cough, unspecified organism
Pneumonia in whooping cough
Code also underlying disease (033.0–033.9)
033.0
033.1
033.8
033.9
483.4
Source: World Health Organization (1975).
42
Global Epidemiology of Infectious Diseases
•
•
•
•
whoop) is followed by a period of apnoea and cyanosis; in older
children the paroxysm is often followed by choking and sometimes
vomiting and the production of sticky and stringy mucus; paroxysmal coughing is usually followed by a typical breath intake and
“whoop”;
subconjunctival haemorrhages;
exposure to a suspect case in the previous 2–4 weeks;
epidemic of pertussis in the area;
white blood cell count with 15 000 lymphocytes per ml or more.
 A confirmed case of pertussis is a probable case with positive culture
or immunofluorescence of nasopharyngeal secretions for B. pertussis.
Weakness of pertussis surveillance
Reported pertussis incidence is likely to be grossly underestimated for
many reasons. The disease is frequently underdiagnosed, particularly if
the classic symptoms of paroxysmal cough and whoop have not occurred.
Difficulties in laboratory confirmation also contribute to underdiagnosis.
These problems are compounded by reliance on a passive reporting system
with its inherent weakness of underreporting. Reported data based on hospitalized cases may suffer from disproportionate representation of severe
cases in younger children and infants. During outbreaks, reporting rates
may increase because of temporarily enhanced awareness of physicians,
anxiety in the community, and media attention (Crombie 1983).
Only an estimated 5 to 25 per cent of all pertussis cases are reported in
the United Kingdom and the United States of America (Jenkinson 1983,
Hinman & Koplan 1984, Clarkson & Fine 1985, Thomas 1989). Reporting
is disproportionately higher for hospitalized patients with classic, laboratory-confirmed disease (Centers for Disease Control 1990). In the United
States of America, the completeness of reporting pertussis hospitalizations
was highest in infants (34 per cent), declining to 28 per cent for children
aged 1 to 4 years, 14 per cent for children aged 5 to 9 years, and 9 per cent
for persons 10 years of age and above (Sutter & Cochi 1992). In Canada,
there was a nine-fold increase in the number of reported pertussis cases
when an active enhanced pertussis surveillance system was introduced in
Nova Scotia Province (Halperin et al. 1989).
Limitations in the available data on pertussis cases and deaths make
comparisons between different regions or countries difficult. Such comparisons are also hampered by differences in the reliability of surveillance
data, differences in completeness of reporting of pertussis, and differences
in the quality of clinical and bacteriological diagnosis in different countries. In some developing countries, pertussis is still not notifiable, and in
others, statistics on pertussis incidence are not reliable. In many countries,
the reported numbers reflect only hospitalized cases, reporting is considerably delayed, and available data cannot serve as an operational tool for
Pertussis
43
controlling the disease. As of March 1996, only 82 per cent, 69 per cent
and 60 per cent of countries had provided data on pertussis incidence for
1993, 1994, and 1995, respectively, to the World Health Organization
(Expanded Programme on Immunization 1996).
Global trends
The worldwide total number of cases reported to the World Health Organization ranged from 2.1 to 2.8 million cases per year at the end of the
1970s, and 600 000 to 800 000 cases at the end of the 1980s (Expanded
Programme on Immunization 1996). A further decline in reported cases
of pertussis was noted by the beginning of the 1990s when 200 000 to
440 000 cases were reported annually. This represents a global decrease
of pertussis morbidity by 85 to 90 per cent over a 15-year period. Obviously, these data represent only a small proportion of the real pertussis
morbidity. With an estimated number of pertussis cases in the world of
about 30 million in 1990 (see estimates, below), the global completeness
of reporting is in the range of 1 to 2 per cent.
Regional trends
Although existing surveillance data cannot be considered qualitatively
accurate, World Health Organization data show substantial decreases in
the number of reported cases from 1980 to 1990 (Expanded Programme on
Immunization 1996). Data from China show a striking 97 per cent decline
during this period. Declines of 75 per cent or more were seen in developing countries of Asia, Latin America, the Middle Eastern Crescent, and
sub-Saharan Africa (Table 2.5). India experienced a 65 per cent decrease
in number of reported cases. No clear trend is apparent in the Established
Market Economies and Formerly Socialist Economies of Europe.
Table 2.5
Number of pertussis cases reported to WHO, by
demographic region, 1980, 1985 and 1990
Number of reported pertussis cases
(in thousands)
Demographic region
Established Market Economies
Formerly Socialist Economies
of Europe
India
China
Other Asia and Islands
Sub-Saharan Africa
Latin America and the Caribbean
Middle Eastern Crescent
World
1980
1985
1990
Change from
1980 to 1990
66.1
32.7
129.1
60.2
70.3
34.1
6% increase
4% increase
320.1
613.6
289.7
395.9
116.7
145.3
184.4
147.3
136.2
245.5
48.6
104.8
112.4
20.0
57.7
90.0
24.5
31.1
65% decrease
97% decrease
80% decrease
77% decrease
79% decrease
79% decrease
1980.1
1 065.1
440.1
78% decrease
Source: Expanded Programme on Immunization 1996
44
Global Epidemiology of Infectious Diseases
Figure 2.2
Reported annual incidence of pertussis, by WHO region,
1974–1994
Africa
Americas
Eastern Mediterranean
Europe
South-East Asia
Western Pacific
10 000 000
Number of Reported Cases
1 000 000
100 000
10 000
1 000
100
74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94
Year
Source: Expanded Programme on Immunization (1996).
Similar conclusions can be drawn from the analysis of reported pertussis
morbidity by World Health Organization regions (Figure 2.2). The most
acute downward trends are seen in the Eastern Mediterranean and Western
Pacific. More gradual declines are seen in Africa, the Americas, and SouthEast Asia. No clear trend is apparent in the European Region.
Regional data summarize cases from surveillance systems of varying
quality, and real trends may be clouded by mixing reliable and unreliable
data. The analysis of pertussis incidence at the country level indicates an
obvious downward trend in many countries. However, some countries,
especially in Europe, have had consistently high or increasing pertussis
morbidity, and this is cause for concern. Several European countries
continue to have high incidence rates, including Italy, which has had low
coverage (Binkin et al. 1992), Germany where vaccine coverage has been
spotty, and Sweden, where the immunization programme was interrupted
in the mid-1980s (Dittmann 1996).
Pertussis
45
Estimated pertussis morbidity and mortality
Methods for estimating morbidity and mortality
Since 1985, the WHO EPI Information System has published the estimated
number of pertussis cases and deaths occurring and prevented through
immunization. Since 1992, the method used in the estimation process has
involved the following four steps (Table 2.6):
 The number of pertussis cases without immunization is estimated for
each country. The underlying assumption is that 80 per cent of surviving newborns will acquire pertussis in the first 5 years of life.
 The impact of immunization on the number of cases is assessed by the
use of the protection factor (the result of vaccination coverage with 3
primary doses of DPT vaccine in infants and 80 per cent assumed vaccine efficacy).
 The number of deaths without or with immunization is estimated by
using estimated CFRs of 0.04 per cent for developed countries and 1
per cent for developing countries (Galazka 1991).
 The estimated numbers of cases and deaths are summarized, forming
regional and global totals.
For this chapter we have developed a second method for estimating pertussis cases, and deaths is based on the following two steps (Table 2.7):
Table 2.6
World Health Organization EPI Information System method
for estimating number of cases and deaths attributable to
pertussis
Pertussis immunization status
Country status
Formula for estimation
Number of cases
attributable to
pertussis
Without
With
Any
Any
80% of all newborns
No. cases without immunization
× protection factor a
Number of deaths
attributable to
pertussis
Without
Developing
Without
Developed
With
Developing
With
Developed
No. cases without immunization
× 0.01b
No. cases without immunization
× 0.0004 c
No. cases with immunization
× 0.01b
No. cases with immunization
× 0.0004 c
Cases or deaths
a. Protection factor = (1 – coverage with 3 doses of DPT vaccine in infants × 80 per cent vaccine efficacy).
b. Case fatality rate for developing countries, 1 per cent.
c. Case fatality rate for developed countries, 0.04 per cent.
Source: Galazka (1991).
46
Global Epidemiology of Infectious Diseases
Table 2.7
Demographic region
Established Market
Economies
Formerly Socialist
Economies of
Europe
India
China
Other Asia and
Islands
Sub-Saharan Africa
Latin America and
the Caribbean
Middle Eastern
Crescent
World
Assumptions concerning completeness of reporting and case
fatality rates used in estimating the number of pertussis cases
and deaths by demographic region, 1990
No. cases
reported in
1990
Assumed
reporting
completeness
(%)
70 300
12.500
562 000
0.04
225
34 100
6.25
546 000
0.06
328
112 400
20 000
57 700
1.89
0.52
1.71
5 947 000
3 860 000
3 382 000
1.35
0.44
0.62
80 000
17 000
21 000
90 000
24 500
1.04
0.85
8 638 000
2 870 000
1.62
0.33
140 000
17 000
31 100
0.69
4 511 000
0.33
15 000
440 100
Estimated
number of
cases in
1990
Assumed
case fatality
rate (%)
30 316 000
Estimated
number of
deaths in
1990
347 000
 The number of pertussis cases is estimated by multiplying the number
of reported cases by arbitrarily allocated reporting completeness rates
for different World Development Report regions.
 The number of pertussis deaths is estimated by multiplying the number
of estimated cases by arbitrarily allocated CFRs for different World
Development Report regions.
Estimated global number of pertussis cases and deaths
Global estimates obtained for 1990 by using the two methods differ
somewhat in the number of cases (Table 2.8), amounting to 39 million
with the WHO EPI Information System method compared with 30 million
based on the reported cases method. With both methods, the estimated
number of pertussis deaths was about 350 000. Thus, for 1990, pertussis occupies the third place among vaccine preventable diseases after the
two main killers, measles and neonatal tetanus. For practical reasons, we
have used the reported cases method as the basis for further calculations
in this chapter.
Estimated number of pertussis cases and deaths by age
To estimate the number of pertussis cases by age, we assumed that in
developing countries 30 per cent, 50 per cent and 20 per cent of pertussis cases occur among children in age groups < 1, 1–4 and 5–14 years
(Table 2.9). For developed countries, we assumed that 50 per cent, 25 per
cent, 20 per cent and 5 per cent of pertussis cases occur among age groups
Pertussis
47
Table 2.8
Estimated global number of pertussis cases and deaths in
1990, based on two methods of estimation
WHO EPI Information System
method
Reported cases method
39 200 000
30 316 000
348 800
347 000
Estimated number of pertussis
cases in 1990
Estimated number of pertussis
deaths in 1990
Table 2.9
Estimated number of pertussis cases, by age, in developing
countries, developed countries, and worldwide, 1990
Developing countries
Developed countries
Estimated number of cases
World
Age in
years
Estimated age
distribution (%)
Estimated number of cases
Estimated age
distribution (%)
Estimated number of cases
<1
1–4
5–14
15+
30
50
20
0
8 762 000
14 604 000
5 842 000
0
50
25
20
5
554 000
277 000
222 000
55 000
9 316 000
14 881 000
6 064 000
55 000
Total
100
29 208 000
100
1 108 000
30 316 000
< 1, 1–4, 5–14, and > 15 years, respectively. Pertussis deaths in different
age groups were estimated by applying various CFRs to numbers of cases
in particular age groups (Table 2.10). For 1990, worldwide there were
estimated to be around 230 000 pertussis deaths in infants and 88 000 in
children 1 to 4 years of age.
Estimated number of pertussis complications
We estimate that the frequency of bronchopneumonia, convulsions and
encephalopathy is 15 per cent, 1 per cent and 0.5 per cent, respectively,
of all estimated pertussis cases (30 million in 1990). Thus, we estimate
that in 1990, pertussis caused 4.5 million cases of bronchopneumonia and
300 000 cases of convulsions. An estimated 150 000 children suffered
Table 2.10
Estimated number of pertussis deaths, by age, developing
countries, developed countries, and worldwide, 1990
Developing countries
Developed countries
World
Age in
years
Estimated case
fatality rate (%)
Estimated number of deaths
Estimated case
fatality rate (%)
Estimated number of deaths
Estimated number of deaths
<1
1–4
5–14
15+
2.6
0.6
0.5
0.0
229 000
88 000
29 000
0
0.10
0.05
0.02
0.02
550
140
40
10
229 550
88 140
29 040
10
740
346 740
Total
346 000
48
Global Epidemiology of Infectious Diseases
pertussis encephalopathy in 1990, with about 50 000 of these resulting
in long-lasting sequelae.
Impact of immunization against pertussis
Immunization is the key to preventing pertussis. Whole cell pertussis
vaccines, widely used in industrialized countries since the late 1950s
and 1960s, and introduced in developing countries within the WHO
Expanded Programme on Immunization in the 1970s and 1980s, are of
proven efficacy. Experience in Japan, Sweden and the United Kingdom has
provided additional evidence of vaccine efficacy. Stopping immunization
with pertussis vaccine (Sweden) or a decline of pertussis vaccine coverage
(Japan, United Kingdom) in a previously highly immunized population
resulted in the resurgence of the disease (Mortimer 1988). By 1994, an
estimated 71 million pertussis cases and 626 pertussis deaths were being
prevented worldwide each year through immunization (Ivanoff & Robertson 1997).
Current killed, whole cell pertussis vaccines are combined with diphtheria and tetanus toxoids and adsorbed onto aluminium salt, comprising
DPT vaccine. The World Health Organization recommends three doses of
DPT vaccine in infancy (Expanded Programme on Immunization 1995).
Many countries have added a booster dose approximately one year later,
and some countries schedule another dose at school entry.
The immunization coverage with three doses of DPT vaccine in infants
is very heterogeneous by region (Table 2.11), and even more varied by
country and within countries. Of note, coverage with three doses of DPT
vaccine has consistently remained much lower in the African Region, and
remains below 50 per cent in some African countries.
To effectively control pertussis in the world, all countries should use
Table 2.11
Regional and global levels of coverage with three doses of
diphtheria-pertussis-tetanus (DPT) vaccine among children
by age 12 months for 1985, 1990 and 1995
Percentage of infants with three doses of DPT vaccine, by yeara
Region
1985
1990
1995
Africa
Americas
Eastern Mediterranean
Europe
South-East Asia
Western Pacific
20
52
45
77
35
66
58
70
81
80
82
93
58
83
71
83
91
91
Global
45
83
81
a
Based on routine reporting systems data reported to the World Health Organization as of March 1996.
Source: Expanded Programme on Immunization (1996).
Pertussis
49
available pertussis vaccines in child immunization programmes. Since
acellular pertussis vaccines are not generally available, the widespread
use of DPT vaccine containing the whole-cell pertussis component should
be continued. Efforts should be directed to increase or maintain coverage
of infants with three doses of DPT vaccine at 90 per cent or higher in all
districts. Surveillance of pertussis morbidity should be strengthened in
all countries and, ideally, pertussis should be a reportable disease. More
information on the epidemiological pattern of pertussis, especially the age
distribution of pertussis cases in developing countries, is needed to develop
recommendations on booster doses for children above one year of age.
Discussion
Based on data presented in this chapter, we estimate that in 1990 pertussis
was responsible for 30 million cases and almost 350 000 deaths. Assuming that bronchopneumonia, convulsions and encephalopathy occur in 15
per cent, 1 per cent and 0.5 per cent of pertussis cases, respectively, we
estimate that 4.5 million, 300 000, and 150 000 children suffered from
these complications in 1990.
There have been a number of previous attempts to quantify the burden
of disease attributable to pertussis, but most estimates have referred to
methods developed by the World Health Organization Expanded Programme on Immunization. A Rockefeller Foundation strategy paper on
selective primary health care estimated that in 1977–1978 for developing
countries alone pertussis accounted for 70 million infections and 250 000
to 450 000 deaths (Walsh & Warren 1979). During the late 1970s less
than 5 per cent of children in developing countries were immunized against
pertussis, so the Rockefeller Foundation estimates represent disease burden largely in the absence of vaccination. Their figures were based on
World Health Organization estimates modified by extrapolations from
published epidemiological studies performed in well defined populations.
The Rockefeller Foundation strategy paper classified pertussis as a high
priority for disease control because of its high morbidity, high mortality,
and the availability of effective control with vaccines. By the early 1980s,
the World Health Organization estimated that there were 60 million cases
of pertussis worldwide each year with half a million to a million deaths
(Muller, Leeuwenburg & Pratt 1986). These estimates took account of
pertussis vaccine coverage, which was increasing gradually during this
period, as well as work suggesting that in the absence of an immunization
programme 80 per cent of surviving newborns would acquire pertussis in
the first five years of life (Fine & Clarkson 1984).
Conclusion
Although in many countries pertussis has been successfully controlled by
routine immunization of infants and children, it continues to cause exten-
50
Global Epidemiology of Infectious Diseases
sive morbidity and mortality throughout the world. The disease burden
is not sufficiently recognized because pertussis incidence and mortality
are grossly underreported. Although we estimate some 30 million cases
and 350 000 deaths occurred because of pertussis in 1990, very few of
these cases and deaths were officially reported through routine surveillance systems.
The number of pertussis cases reported annually to the World Health
Organization decreased from between 2.1 and 2.8 million at the end of
the 1970s to between 200 000 and 400 000 at the beginning of the 1990s.
Although these numbers represent only a small proportion of the real
morbidity attributable to pertussis, they indicate a genuine downward
trend reflecting the increased delivery of pertussis vaccine to children
around the world.
Over the past 30 years, successful immunization programmes have
been implemented in most countries of the world. In developing countries,
immunization coverage of infants with a primary series of three doses of
DPT vaccine reached 81 per cent in 1990, but there were considerable
differences in coverage rates between regions and between and within
countries.
It is hoped that even higher levels of DPT vaccine coverage can be
achieved; however, problems in reaching this goal have arisen in both
developed and developing countries. In some developed countries pertussis
vaccine coverage has dropped because of apathy and complacency on the
part of physicians and parents, negative attitudes toward immunization
spread by anti-immunization pressure groups, and litigation over liability
for alleged vaccine-related injuries. In a number of developing countries,
failure to reach and maintain high immunization coverage results from
multiple factors, including weak management of immunization services,
missed opportunities to immunize eligible children, and ineffective information and motivation of mothers to return to complete the immunization
series.
Pertussis is an exhausting illness that can last for several months. The
disease is characterized by several immunological and epidemiological
peculiarities compared with other communicable diseases of childhood.
The newborn infant has little or no maternally transferred passive protection, and deaths from pertussis in the first year of life are inordinately
frequent. Mortality rates are highest in infancy, especially in children under
6 months of age. Overall CFRs have been reported from 0.02 per cent to
0.4 per cent in developed countries and from 0.3 per cent to 16 per cent
in developing countries.
Among the major complications that follow pertussis illness, the most
frequent are those affecting the respiratory tract. Bronchopneumonia has
been reported in 14 to 31 per cent of pertussis cases. Young infants are
especially vulnerable to pulmonary complications. Other major complications of pertussis include convulsions and encephalopathy. We estimate
Pertussis
51
that in 1990 nearly 5 million children suffered from one of the serious
complications of pertussis.
To effectively control pertussis in the world, all countries should use
available pertussis vaccines, aiming to achieve and sustain at least 90 per
cent coverage of infants with three vaccine doses.
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Miller CL, Fletcher WB (1976) Severity of notified whooping cough. British
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developed world: UK and West Germany. Tokai Journal of Experimental and
Clinical Medicine, 13(Suppl):97–101.
Miller E, Vurdien JE, White JM (1992) The epidemiology of pertussis in England
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Mortimer EA (1988) Pertussis and pertussis vaccine in the industrialized world.
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Chapter 3
Diphtheria
Artur M Galazka, Susan E Robertson
Introduction
Before the advent of routine immunization, diphtheria was a common
cause of morbidity and mortality among preschool-aged children. In
temperate climates, more than 1 in 20 inhabitants suffered from clinical
diphtheria during their lifetime and 5 to 10 per cent of these died of the
disease (Griffith 1979). In developing countries, the disease appeared to
be endemic. These countries have rarely reported highly visible outbreaks
and epidemics, as were characteristic of the pre-vaccine era in industrialized countries. Recent epidemics of diphtheria in several eastern European
countries have again drawn attention to this forgotten disease. Reports
from developing countries suggest changes in the epidemiological patterns of the disease so that it now occurs in outbreaks, resulting in high
case fatality rates and a large proportion of patients with complications
(Galazka & Robertson 1995b).
Causative agent
Diphtheria is caused by the potent toxin produced by Corynebacterium
diphtheriae, a gram-positive bacillus. C. diphtheriae strains may be either
toxigenic or nontoxigenic. Toxin production results when bacteria are
infected by a special phage (corynebacteriophage) carrying the toxin’s
structural gene. Human beings are the only reservoir of infection. Transmission occurs via contact with a patient or a carrier, usually via airborne
droplets. Untreated patients are infectious for 2–3 weeks, while antibiotic
treatment usually renders patients noninfectious within 24 hours (Begg
1994). Immunization does not always prevent asymptomatic carriage
of the organism. Less commonly, transmission has been documented by
articles soiled by patient discharges and by milk products (Jones et al.
1985, Benenson 1995).
56
Global Epidemiology of Infectious Diseases
Clinical features
Forms of diphtheria
There are five main forms of diphtheria:
 tonsillar (faucial);
 pharyngeal;
 laryngeal or laryngotracheal;
 nasal;
 nonrespiratory forms (cutaneous and other).
Classical respiratory diphtheria is characterized by a gradual onset after
an incubation period of 2 to 5 days. The patient develops pharyngitis,
with a red throat slowly becoming covered with a patchy exudate. The
exudate gradually spreads and coalesces into a membrane that may cover
the tonsils and/or the pharynx. The membrane is distinctly gray, tough,
and adherent; it can lead to mechanical obstruction of the airway, requiring tracheostomy or intubation. Attempts to lift a mature membrane may
lead to local bleeding. There is a low-grade fever, and enlarged and tender
cervical lymph nodes. Cervical node swelling may become so prominent
that the patient develops a “bull neck” appearance. Laryngeal diphtheria
occurs when the membrane extends into the larynx, and the patient exhibits
hoarseness and stridor. Nasal diphtheria presents like a common cold and
is characterized by unilateral or bilateral nasal discharge, which is initially
clear and later purulent and bloody. The nasal discharge makes it difficult
to see the underlying diphtheritic membrane. Cutaneous diphtheria results
when C. diphtheriae infects a skin lesion, such as an abrasion, laceration,
insect bite, or burn. Cutaneous diphtheria is more common in tropical
areas, but is also found in temperate climates and among the homeless
and other persons with poor hygiene. Rarely, diphtheria can infect the
conjunctiva, ear, or genitalia.
Diagnosis
The clinical diagnosis of diphtheria is difficult, particularly in countries
where the disease has largely been eliminated. The differential diagnosis
includes bacterial and viral pharyngitis, infectious mononucleosis, candidiasis, oral syphilis, and ingestion of caustic chemicals (Begg 1994,
Strassburg 1984). The presence of a smooth gray membrane should trigger suspicion of diphtheria. The clinical diagnosis should be confirmed
by bacteriological examination. Guidelines on laboratory diagnosis of
diphtheria have been issued by the World Health Organization (Brooks
1981, Efstratiou & Maple 1994). Swabs should be obtained from the
throat, nasopharynx, and from the edge of the membrane, if it is present.
These should be rapidly transported to the laboratory for inoculation
Diptheria
57
onto the appropriate media. If specimens cannot be transported to the
laboratory immediately, use of a transport medium should be considered.
Diagnosis of diphtheria should not be made on direct microscopy of the
smear, because of problems with false positives and false negatives. All
laboratory isolates should be submitted for toxigenicity testing and strain
confirmation at a qualified laboratory.
Major complications of diphtheria
The most common and most serious complications from diphtheria are
those caused by the dissemination and effects of diphtheria toxin on the
heart (myocarditis) and nervous system (polyneuritis).
Myocarditis
Cardiac manifestations usually appear in the second week of the disease.
The greater the delay in instituting antitoxin therapy, the greater the likelihood of myocarditis (Begg 1994). Diphtheria toxin causes electrocardiographic (ECG) aberrations in 33 to 65 per cent of cases, and these are
clinically significant in 10 to 20 per cent of cases (Boyer & Weinstein 1948,
Morgan 1963, Desphande, Patel & Shetty 1970, Stockins et al. 1994).
Myocarditis may present acutely with congestive failure and circulatory
collapse, or more insidiously with progressive dyspnoea, weakness, diminished heart sounds, cardiac dilatation, and a galloping rhythm.
Myocarditis is an important complication of diphtheria because it is
responsible for approximately half of the mortality from the disease (Morgan 1963, Salih, Suliman & Hassan 1981). The number of deaths rises
steadily with the increasing degree of ECG aberrations. In a large series
of diphtheria cases, the case fatality rate (CFR) rose from 6 per cent in
cases with slight ECG changes to 71 per cent in cases with marked ECG
abnormalities (Boyer & Weinstein 1948). A patient with diphtheria may
appear to be recovering from pharyngitis only to develop toxic myocarditis, which may result in congestive heart failure. Although the majority
of patients who survive myocarditis recover completely, occasionally there
may be permanent damage to the heart. Individuals who have apparently
recovered from mild myocarditis have died suddenly several weeks later
(Tillman 1980).
Neurological complications
Polyneuritis may involve cranial and peripheral nerve palsies. Peripheral
nerve involvement is manifested primarily as a motor defect, usually bilateral. The severity may vary from mild weakness to complete paralysis.
Soft-palate paralysis, which occurs during the third week, is the most
common manifestation of diphtheritic neuritis. Other manifestations of
neuritis include ocular palsy (paralysis of the muscle of accommodation,
causing blurring of vision), paralysis of the diaphragm, and limb paralysis
indistinguishable from the Guillain-Barré syndrome.
The incidence of neurological complications is proportional to the
58
Global Epidemiology of Infectious Diseases
severity of infection. Mild cases have a complication rate of 2 per cent
while the rate in severe infections can be as high as 75 per cent (Hoeprich
1994). Although neuritis may persist for months, total resolution of all
diphtheritic nerve damage is usual. In Sweden, during an outbreak of
diphtheria in the 1980s, 6 out of 17 patients (35 per cent) had reversible
paralysis (Rappuoli, Perugini & Falsen 1988). Studies of hospitalized
patients in Sudan and the United States of America found a frequency of
neurological complications between 8 and 10 per cent (Dobie & Tobey
1979, Salih, Suliman & Hassan 1981).
Reported diphtheria morbidity and mortality
Case definitions
The ninth revision of the International Classification of Diseases (ICD-9)
codes related to diphtheria are listed in Table 3.1 (World Health Organization 1977). The ICD-9 has a major category for diphtheria (032) which
includes all types of infection by Cornybacterium diphtheriae. Subcategories code the anatomical location of the infection.
In the early 1980s, the World Health Organization Expanded Programme on Immunization produced guidelines for investigation and
control of outbreaks of the diseases targeted by immunization, including
diphtheria (Strassburg 1984). This document recommended the following
case definitions:
 Suspected diphtheria:
• Acute pharyngitis,
• Acute nasopharyngitis,
• Acute laryngitis
or with a pseudomembrane
 Probable diphtheria:
• Suspected case and
• Any one of the following:
– typical findings on physical examination by a qualified health
worker;
Table 3.1
Ninth revision of the International Classification of Diseases
(ICD-9) codes for diphtheria
Code
Description
032
032.0
032.1
032.2
032.3
032.8
032.9
Diphtheria (infection by Corynebacterium diphtheriae)
Faucial diphtheria (diphtheritic membranous angina)
Nasopharyngeal diphtheria
Anterior nasal diphtheria
Laryngeal diphtheria (diphtheritic laryngotracheitis)
Other, cutaneous diphtheria
Diphtheria, unspecified
Source: World Health Organization (1977).
Diptheria
–
–
–
–
–
–
59
airway obstruction;
myocarditis or neuritis (paralysis) 1–6 weeks after onset;
exposure to a case of diphtheria in the previous 2 weeks;
epidemic of diphtheria currently in the area;
death;
common alternative diagnoses excluded by appropriate tests
(for example; negative throat culture for group A streptococci
or negative blood; tests for mononucleosis).
 Confirmed diphtheria:
• Probable case; and
• Positive culture of Corynebacterium diphtheriae. Demonstration
of toxin production is recommended since there are nontoxigenic
strains, but not required in typical cases. Microscopic examination of a smear of a clinical specimen is not sufficiently accurate
to substitute for a culture.
Global trends
Since 1974, countries have submitted official reports of their annual incidence of diphtheria to the World Health Organization (Expanded Programme on Immunization 1996). In 1990, the total number of diphtheria
cases reported was 22 624, with 21 442 from developing countries and
1182 from developed countries. The worldwide total number of reported
cases fell from between 74 000 and 94 000 per year in the 1970s to an
all-time low of between 20 000 and 25 000 per year in 1990–1992. This
represents a global decrease in diphtheria morbidity of about 70 per cent
over a 20-year period. The vast majority (95 per cent or more) of reported
diphtheria cases were from developing countries during the period 1974
to 1990 (Table 3.2). However, the contribution of developing countries
to the global total declined to 87 per cent in 1991 and fell further to 13
per cent in 1994. Since 1992, the global number of reported diphtheria
cases has risen steeply, with totals of 31 953 in 1993 and 54 718 in 1994
(Expanded Programme on Immunization 1996). This is the result of a
massive outbreak, which began in the Russian Federation and Ukraine
and eventually spread to nearby countries.
Regional trends
There are notable differences in trends in reported diphtheria incidence
among the World Health Organization regions (Figure 3.1). Since the
mid-1980s, significant declines in diphtheria morbidity have occurred in
the Region of the Americas and the Eastern Mediterranean and Western
Pacific Regions. A less noticeable decline occurred in the South-East Asia
Region. No clear change is apparent in the African Region, reflecting the
later start of immunization programmes and the lower vaccine coverage
levels achieved. In the European Region, diphtheria morbidity was stable
for many years, but has increased dramatically since 1992.
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Global Epidemiology of Infectious Diseases
Table 3.2
Number of diphtheria cases reported to the World Health
Organization from developing and developed countries, and
percentage of total cases occurring in developing countries,
1974 –1994, based on reports received as of March 1996
Year
Developing countries
Developed countries
World
Percentage of cases
from developing
countries
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
1992
1993
1994
75 318
92 767
72 008
85 612
78 302
76 911
97 155
73 922
59 919
49 652
45 146
41 954
28 957
27 883
28 461
29 728
21 442
21 553
14 609
12 388
6 910
1 827
1 549
1 646
1 141
953
822
656
725
1 040
1 545
1 704
1 637
1 256
1 163
966
887
1 182
3 210
5 835
19 565
47 808
77 145
94 310
73 654
86 753
79 255
77 733
97 811
74 647
60 959
51 197
46 850
43 591
30 213
29 046
29 427
30 615
22 624
24 763
20 444
31 953
54 718
98
98
98
99
99
99
99
99
98
97
96
96
96
96
97
97
95
87
71
39
13
Number of cases reported
Source: Expanded Programme on Immunization (1996).
Diphtheria incidence in developed countries
Historical records document that severe epidemics of diphtheria have
occurred in a cyclical manner since the 16th century (Table 3.3). In the
mid-18th century, an epidemic raged in England, France, the New England
colonies, and the West Indies. In the 19th century, diphtheria returned to
America and Europe in a great pandemic. During and after the Second
World War, a huge diphtheria epidemic occurred in Europe, with incidence
rates higher than 100 per 100 000 population (Galazka, Robertson &
Oblapenko. 1995a). In 1943 alone there were an estimated 1 million
cases and 50 000 deaths attributable to diphtheria in Europe, excluding
the USSR (Stowman 1945).
The implementation of large-scale diphtheria immunization programmes
has led to marked decreases in diphtheria—and in some countries its virtual
elimination—over the past three decades. At the beginning of the 1980s,
many developed countries were progressing towards the elimination of
the disease. In some European countries, not a single case of diphtheria
has been reported for more than 10 years. By 1995, coverage of infants
Diptheria
Figure 3.1
61
Annual diphtheria incidence reported to the World Health
Organization, by region, 1974–1994, based on reports
received as of March 1996
Africa
Americas
Eastern Mediterranean
Europe
South-East Asia
Western Pacific
Number of Reported Cases
100 000
10 000
1 000
100
74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94
Year
Source: Expanded Programme on Immunization (1996).
with three doses of diphtheria-pertussis-tetanus (DPT) vaccine reached
88 per cent among the developed countries (Expanded Programme on
Immunization 1996).
Widespread immunization has resulted not only in a considerable reduction of diphtheria incidence, but also in profound changes in the immune
status of different age groups. Children acquire a high level of diphtheria
immunity as the result of infant immunization. The level of immunity
declines in late childhood and adolescence. High levels of immunity in
children result in reduced incidence of the disease, and, as diphtheria has
become rare, opportunities for acquiring or reinforcing natural immunity
have also been reduced. In many industrialized countries, adults become
susceptible to diphtheria as a consequence of reduced opportunities to
boost immunity through subclinical infection. The changes in immunity
profiles by age after introduction of routine immunization are presented
schematically in Figure 3.2.
Diphtheria cannot be considered a disease that has already been con-
62
Global Epidemiology of Infectious Diseases
Table 3.3
Cyclic occurrence of diphtheria in the world, 16th–20th
centuries
Century
Place, period
Forms and extent
16th–17th
Spain, 1583–1613, 1630, 1645, 1666
“Garotillo” or “morbus suffocans”
18th
England, France, New England, West
Indies, 1735–1740
“Throat distemper” with high case
fatality rates
19th
Europe and the Americas, 1857–1899
Pandemic with mortality up to 100
per 100 000 population
20th
Europe during and after Second World
War
Virulent form of diphtheria, with
incidence > 200 per 100 000
population
Russian Federation and Ukraine,
1990–1994
Next round in the diphtheria cycle?
quered. Since the 1990s, there has been a striking resurgence of diphtheria
in several countries of Eastern Europe (Expanded Programme on Immunization 1993, 1994a, 1994c, Galazka, Robertson & Oblapenko 1995a,
Hardy, Dittmann & Sutter 1996). In the Russian Federation, the number
of reported cases of diphtheria increased dramatically from 1211 in 1990
to 39 703 in 1994; in Ukraine, reported cases increased from 109 in 1990
to 2990 in 1994 (Expanded Programme on Immunization 1996). The main
reasons for the return of diphtheria in these countries were: decreasing
immunization coverage among infants and children; waning immunity
to diphtheria in adults; mass movements of the population secondary to
economic and political changes; and an irregular supply of vaccines. By
1994, this outbreak had spread to nearby countries, including Azerbaijan,
Figure 3.2
Age-specific immunity of a hypothetical population before
and after widespread use of diphtheria vaccine
100
Pre-vaccine era
Per cent immune
80
60
40
Post-vaccine era
20
0
0
5
10
15
20
25
30
35
Age (years)
40
45
50
55
60
Diptheria
63
Belarus, Georgia, Kazakhstan, Kyrgyzstan, Latvia, Lithuania, the Republic
of Moldova, Tajikistan, and Uzbekistan.
Diphtheria incidence in developing countries
To date, diphtheria has not been a major problem in most developing
countries. Immunization for infants and children was introduced with the
Expanded Programme on Immunization in the late 1970s. Coverage of
infants in developing countries with three doses of DPT vaccine rose gradually from less than 10 per cent in 1974 to 81 per cent in 1995 (Expanded
Programme on Immunization 1996). In these countries, the process of
maintaining immunity still operates through natural mechanisms, including frequent skin infections caused by C. diphtheriae.
Socioeconomic changes, especially rapid urbanization with migration
from rural areas, and sociocultural changes, including improved hygiene
and different lifestyles, are changing the epidemiological patterns of diphtheria, so that in some developing countries epidemics are occurring, with
more serious faucial and laryngeal forms. Algeria, China, Ecuador, Jordan,
Lesotho, and Yemen have reported diphtheria outbreaks which occurred
following a 5 to 10 year period of high immunization coverage. These
outbreaks have been characterized by high case fatality rates (CFRs), a
large proportion of patients with complications, and occurrence in both
young and older age groups (Galazka & Robertson 1995).
Death rates
Before the era of immunization and modern treatment, diphtheria was
a highly lethal disease. During a severe diphtheria outbreak in the New
England colonies of the Americas in the mid-18th century, most families
lost at least one child (English 1985). Statistics from Hampton Falls, New
Hampshire, in 1735 show that the CFR was nearly 40 per cent in children
younger than 10 years of age (Table 3.4).
In 1881 in New York City, more than 1 per cent of children under 10
years of age died from diphtheria (Doull 1952). From 1880 to 1888, the
annual diphtheria CFR in a large hospital in Boston ranged from 40 to 52
per cent (Kass 1993). In Europe during the late 19th century, Hamburg and
London reported diphtheria mortality rates as high as 50 to 100 deaths
Table 3.4
Mortality attributable to diphtheria, by age groups, Hampton
Falls, New Hampshire, 1735
Population
Age group in years
< 10
10–20
> 20
Total
Source: English (1985).
Percentage
Number of
deaths
Case fatality rate
(%)
404
310
546
32.1
24.6
43.3
160
40
10
39.6
12.9
1.8
1 260
100.0
210
16.7
Number
64
Global Epidemiology of Infectious Diseases
per 100 000 population, and the average mortality rate in Europe was
approximately 40 per 100 000 population (Kostrzewski 1964).
A high risk of death continues to be associated with diphtheria. CFRs
of 5 to 10 per cent for noncutaneous diphtheria have changed little in 50
years (Benenson 1995). In the United States of America, from 1971 to
1981, more than 1000 cases of diphtheria were reported, with a relatively
stable CFR close to the historically prevailing 10 per cent (Chen et al.
1985). In Poland, the CFR was 13.8 per cent in 1970 (Kostrzewski &
Abgarowicz 1973). In the recent epidemic of diphtheria in the Russian
Federation and Ukraine, CFRs ranged from 1.5 per cent to 4.8 per cent
(Expanded Programme on Immunization 1993, 1994a). Late reporting of
diphtheria cases to medical services and delays in diagnosis, hospitalization and treatment are important factors influencing the outcome of the
disease. In St Petersburg, only 12 per cent of diphtheria cases were hospitalized during the first 3 days of the disease; the majority of cases were
hospitalized 4 to 10 days after the onset of the disease (Rachmanova et al.
1993a). Among six patients who died from diphtheria, all were admitted
later than the third day after onset, and three patients were hospitalized
at 8, 10, and 40 days after onset (Rachmanova et al. 1993b). During the
1992–1993 epidemic in Ukraine, CFRs were several times higher in rural
areas, where the access to medical services was limited and the quality of
care was lower than in urban areas (Expanded Programme on Immunization 1994a) (Table 3.5).
In developing countries in the 1960s to the 1980s, diphtheria CFRs
were high among hospitalized cases. CRFs ranged from 6 to 20 per cent
in India (Bhargava & Bhatt 1960, Basappa 1963, Garg & Sharma 1964,
Desphande, Patel & Shetty 1970, Tibrewala et al. 1975), to 14 to 39 per
cent in African countries (Bwibo 1969, Chintu, Bathirunathan & Patel
1978) and Yemen (Jones et al. 1985).
CFRs depend on age. Hospital reports from developing countries reveal
high rates (11 to 50 per cent) in infants, moderate rates (8 to 18 per cent)
Table 3.5
Diphtheria case fatality rates in urban and rural areas,
Ukraine, 1992 and 1993
Part of country
1992
1993
Urban
Number of cases
Number of deaths
Case fatality rate (%)
1 239
35
2.8
2 497
46
1.8
Rural
Number of cases
Number of deaths
Case fatality rate (%)
314
33
10.5
490
32
6.5
Total
Number of cases
Number of deaths
Case fatality rate (%)
1 553
68
4.4
2 987
78
2.6
Source: Expanded Programme on Immunization (1994a).
Diptheria
65
in preschool children, and low rates (0 to 5 per cent) in schoolchildren
(Bassapa 1963, Bharghava & Bhatt 1960, Desphande, Patel & Shetty
1970, Garg & Sharma 1964, Tibrewala et al. 1975). Data for the United
States for 1959–1970 showed the highest CFR (16 per cent) in children
under five years of age (Munford et al. 1974).
Completeness of routine reporting
The true numbers of diphtheria cases and deaths are unknown. In developed countries, where diphtheria occurs in the form of single imported
cases or, as recently in the Russian Federation and Ukraine, in definite
outbreaks, the reporting may be assumed to be good. In developing countries, however, where the disease is usually endemic, reporting systems are
weak and the impact of immunization on disease incidence is monitored
primarily through national incidence figures. Such statistics are often inaccurate because they are based on incomplete data gathered by the routine
surveillance systems, which are usually hospital-based.
Completeness of reporting depends mainly on two elements. First,
the public must have access to health services and use them. Second, the
health services must report cases accurately and regularly to the appropriate public health authorities. A study in 13 developing countries that
compared survey data with reported data found that only 2 to 5 per cent
of tetanus cases and 1 to 26 per cent of poliomyelitis cases were detected
and reported through routine surveillance systems (Expanded Programme
on Immunization 1982). Overall reporting efficiency for the vaccine preventable diseases is estimated to be less than 10 per cent, although this
estimate does not specifically address diphtheria case reporting (Expanded
Programme on Immunization 1994b). Further efforts are needed to establish highly efficient surveillance systems capable of detecting most cases
of targeted diseases.
Estimated diphtheria morbidity and mortality
Estimated total number of diphtheria cases and deaths
The number of diphtheria cases reported from developed countries can
be assumed to be relatively accurate; thus, we estimate that reporting
was 60 per cent complete for developed countries in 1990. For developing countries, we estimate that reporting was much lower, with no more
than 20 per cent of diphtheria cases reported. Thus, the total number of
diphtheria cases worldwide in 1990 can be estimated to be about 106 000,
with 104 000 from developing countries and about 2000 from developed
countries.
Assuming a case fatality rate of about 10 per cent for all parts of the
world, the total number of deaths attributable to diphtheria in 1990 would
be about 11 000.
66
Global Epidemiology of Infectious Diseases
Estimated number of diphtheria cases and deaths by age
In estimating the number of cases and deaths attributable to diphtheria
by age, it is important to consider the differing age distributions of this
disease in developing countries (mostly young children) and in developed
countries (mostly adolescents and adults). Table 3.6 shows the estimated
number of cases by age group occurring in 1990 in developing countries,
developed countries, and worldwide.
In estimating the number of diphtheria deaths by age, we applied different case fatality rates reported for different age groups. With these
assumed rates, the number of estimated deaths attributable to diphtheria
in 1990 is about 9000 in children under the age of 5 years and nearly 1600
in school-aged children (Table 3.7).
Estimated number of diphtheria cases and deaths by region
The estimated number of diphtheria cases and deaths by region is shown
in Table 3.8. The highest estimated numbers of diphtheria cases in 1990
were from India, other Asian countries, and sub-Saharan Africa.
Estimated number of diphtheria complications
Assuming that clinically significant myocarditis occurs in 10 per cent of
patients, we estimate that approximately 11 000 cases of myocarditis
occurred in 1990. Most of these occurred in children under 5 years of
Table 3.6
Estimated number cases of diphtheria, and proportion, by
age group, in developing countries, developed countries, and
worldwide, 1990
Developing countries
Age group
in years
0–4
5–14
15–49
>50
Total
Number of
cases
62 530
31 260
10 420
0
104 210
Table 3.7
Age group in years
0–4
5–14
15–49
>50
Total
Developed countries
World
Proportion (%)
Number of
cases
Proportion (%)
Number of
cases
60
30
10
0
178
446
1 069
89
10
25
60
5
62 708
31 706
11 489
89
100
1 782
100
105 992
Estimated number of diphtheria cases and deaths, by age
group, worldwide, 1990
Estimated no.
cases
Estimated case fatality
rate (%)
Estimated no.
deaths
62 708
31 706
11 489
89
14
5
2
5
8 779
1 585
230
4
105 992
10
10 598
Diptheria
Table 3.8
67
Estimated number of diphtheria cases and deaths, by World
Development Report region, 1990
Region
Estimated number of cases Estimated number of deathsa
Established Market Economies
Formerly Socialist Economies of Europe
India
China
Other Asia and Islands
Latin America and the Caribbean
Sub-Saharan Africa
Middle Eastern Crescent
Total
40
1 400
42 130
2 100
24 000
5 000
19 300
12 000
4
140
4 213
210
2 400
500
1 930
1 200
105 970
10 597
a. Assumed case fatality rate of 10 per cent for all regions.
age and schoolchildren. About half of the myocarditis cases would end
in death; only a small portion of the surviving patients would suffer from
permanent heart damage.
Neurological complications may be expected to occur in about 20 per
cent of patients. This would amount to about 21 000 patients worldwide
with neurological complications secondary to diphtheria in 1990.
Prevention, treatment, and epidemic preparedness
Routine immunization
Diphtheria toxoid is one of the three components of diphtheria-pertussistetanus (DPT) vaccine. A primary series of three doses of DPT vaccine is
given to children in their first year of life in all countries around the world.
Global coverage of infants with three doses of DPT vaccine was 45 per
cent in 1985, 83 per cent in 1990, and 81 per cent in 1995 (Expanded
Programme on Immunization 1996). It needs to be emphasized, however,
that overall coverage figures mask regional variations and intra-country
variations in coverage (see Table 2.11, Chapter 2, Pertussis).
Diphtheria toxoid is a formaldehyde-inactivated preparation of diphtheria toxin, adsorbed on aluminium salts to increase its antigenicity.
This toxoid protects against the action of toxin, so when an immunized
individual is infected by a toxin-producing strain of diphtheria, the systemic manifestations of diphtheria will not occur. There are no data from
randomized controlled trials of the clinical efficacy of diphtheria toxoid,
but outbreak investigations have shown a protective efficacy of over 87
per cent (Jones et al. 1985). After a primary series of three doses of DPT
vaccine, diphtheria antitoxin levels wane gradually. In industrialized countries, more than half of all adults may lack immunity and many of these
countries therefore recommend booster doses of diphtheria toxoid. The
same situation does not appear to be true in developing countries, and
68
Global Epidemiology of Infectious Diseases
it is thought that this may result from ongoing exposure to persons with
cutaneous diphtheria. Thus, most developing countries do not recommend
booster doses of diphtheria toxoid. This situation needs careful monitoring,
and serosurveys may be appropriate as immunization programmes in these
countries mature (Expanded Programme on Immunization 1995).
Treatment
When a case of diphtheria is identified, strict isolation procedures need
to be instituted, including disinfection of all articles in contact with the
patient (Benenson 1995). The outcome, including complications and
mortality, depends on the speed with which antitoxin treatment is initiated. Antitoxin will only neutralize circulating toxin that is not yet bound
to tissue. If diphtheria is strongly suspected, treatment with diphtheria
antitoxin should be given immediately after bacteriologic specimens are
taken, without waiting for laboratory results (Begg 1994, Farizo et al.
1993). Antibiotic therapy, consisting of intramuscular procaine penicillin
G or parenteral erythromycin, should also be instituted, to prevent the
patient from transmitting diphtheria to others. Once the patient can swallow, oral therapy with penicillin V or erythromycin should be continued
for two weeks. During convalescence, the patient should receive a dose
of diphtheria toxoid, because clinical diphtheria does not always confer
immunity (Begg 1994).
The risk of infection is directly related to the closeness and duration of
contact. Anyone who has been in close contact with a case of diphtheria
attributable to toxigenic C. diphtheriae in the previous seven days should
be considered at risk. This includes household members, sexual contacts,
school classroom contacts, those people with diphtheria. Close contacts
should have a throat culture taken and receive a dose of intramuscular
benzethine penicillin. They should be clinically assessed daily, including
a check for pharyngitis, until seven days after their last contact with the
case. If a positive culture is obtained in a close contact, they should receive
antibiotic treatment with penicillin or erythromycin for two weeks, followed by another throat culture (Begg 1994).
Epidemic preparedness
Epidemic preparedness is an ever-important issue, brought to attention during the 1990s by the massive diphtheria epidemic affecting most countries
of the former Soviet Union. Management of diphtheria outbreaks requires
careful public health planning. In the outbreak situation, emphasis must
be placed on rapid delivery of vaccine to the affected population, prompt
diagnosis and management of diphtheria cases, and appropriate investigation and management of close contacts (Begg & Balraj 1995). In outbreaks
with large numbers of adult cases, mass diphtheria immunization should be
carried out for adult groups at highest risk, including health care workers,
Diptheria
69
teachers, and military personnel. Detailed guidelines have been developed
for immunization of adults (Galazka & Robertson 1996).
Discussion
Based on data presented in this chapter, we estimate that in 1990 diphtheria
was responsible for a total of some 106 000 cases worldwide. Assuming
a case fatality rate of about 10 per cent for all parts of the world, the
total number of deaths attributable to diphtheria in 1990 would be about
11 000. Major complications of diphtheria result from the damaging effects
of the bacterial toxin on heart and nerve tissues. For 1990, we estimate
that 11 000 individuals suffered from myocarditis, with half of these cases
ending in death. In the same year, an estimated 21 000 persons developed
neurological complications of diphtheria, but most of these cases can be
expected to have resolved spontaneously within a few months. These estimates take account of the disease reduction through vaccination, which
had become widespread in both developing and developed countries by
1990.
There have been few previous attempts to quantify the burden of disease due to diphtheria. A Rockefeller Foundation strategy paper on selective primary health care estimated that in 1977 for developing countries
alone diphtheria accounted for 700 000 to 900 000 cases of disease and
50 000 to 60 000 deaths (Walsh & Warren 1979). During the late 1970s
less than 5 per cent of children in developing countries were immunized
against diphtheria, so the Rockefeller Foundation estimates represent disease burden largely in the absence of vaccination. A 1980 World Health
Organization report estimated that worldwide diphtheria caused at least
100 000 deaths each year among children under five years of age (World
Health Organization 1980).
One medical textbook chapter on diphtheria published in 1992 states
that in developing countries there are estimated 1 million deaths a year
caused by diphtheria (Willett 1992). We believe this figure represents an
extreme overestimate, which is nearly 100 times greater than our estimate
of 11 000 deaths attributable to diphtheria in 1990. Unfortunately the
author of this chapter provides no justification and no references for the
estimate. The same textbook chapter states that DPT vaccine coverage
of infants in developing countries was only 10 per cent (Willett 1992);
however, based on official reports by governments to the World Health
Organization, coverage of infants in developing countries with three doses
of DPT vaccine reached 81 per cent worldwide by 1990 (Expanded Programme on Immunization 1996).
Conclusion
Diphtheria is still present in many parts of the world. The most effective
preventive measure against diphtheria is active immunization of children
70
Global Epidemiology of Infectious Diseases
and an adequate programme to maintain immunity against diphtheria
throughout life. Many countries that have implemented an effective
immunization programme report a continuous decline in the incidence of
diphtheria or its virtual elimination.
Despite this, countries cannot become complacent about this disease.
In 1990, more than 90 per cent of diphtheria cases occurred in developing countries. After 1992, this pattern, seen for three decades, changed
abruptly when a massive diphtheria outbreak surged in eastern Europe.
This was the largest diphtheria epidemic since 1950 and it was declared
by the World Health Organization to be a public health emergency. The
history of diphtheria has been marked by sudden unexpected flares, which
cause fear and panic because of the high mortality associated with this
disease. Many of these epidemic surges have occurred during wars or periods of turmoil, thus exacerbating already difficult situations. The Eastern
European outbreak of the 1990s serves as a reminder to all countries to
be vigilant. There is a need to improve surveillance for diphtheria and
maintain the laboratory capability to diagnose diphtheria even when the
disease has declined to very low levels. In addition, diphtheria should be
included as part of public health planning for epidemic preparedness.
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Chapter 4
Measles
CJ Clements, GD Hussey
Introduction
Measles has been called the greatest killer of children in history. Over
the centuries, it has been responsible for severe epidemics throughout the
world. Before measles vaccine became available, virtually all children contracted measles—an estimated 135 million cases and around 7–8 million
deaths globally each year (assuming a case fatality rate of 7 per cent in
the pre-immunization era in developing countries).
Mortality rates from measles fell when socioeconomic conditions
improved in industrial countries. Further gains were made against the
disease when a vaccine was developed in the 1960s. However, despite
its availability, the vaccine has not always been used to its full potential,
and measles remains a major preventable cause of childhood mortality in
developing countries.
Towards the end of the 1970s, the Expanded Programme on Immunization (EPI) adopted measles vaccine as one of its six infant antigens.
This resulted in a dramatic increase in immunization coverage, which has
contributed significantly to reducing both measles morbidity and mortality. Even though developing nations did not all introduce measles vaccine
into their routine immunization programmes until 1984–1985, many were
quick to reach high coverage levels.
Despite excellent progress, the World Health Organization estimated
that as of August 1994, 45 million cases of measles still occurred in the
world each year. Notwithstanding the severe underreporting of the disease,
data received by the World Health Organization clearly demonstrated a
dramatic downward trend in the number of measles cases (Figure 4.1).
Some countries (both developed and developing) have experienced more
than 99 per cent reduction in the incidence of reported cases. In recent
years, however, the number of reported cases in some of those countries
has temporarily increased, although still remaining far below pre-vaccine
era levels. In developing countries, measles remains endemic in most areas,
76
Global Epidemiology of Infectious Diseases
Number of cases of measles and measles vaccine coverage
reported globally, 1974–1996
Number of cases
% immunization coverage
100
7
6
Coverage (%)
80
5
60
4
40
3
2
20
1
0
73
75
77
79
81
83
85
87
89
91
93
95
0
Number of cases (millions)
Figure 4.1
Y
Year
Source: WHO Expanded Programme on Immunization (1996)
with the largest proportion of cases reported in children under 5 years,
and over a quarter of all cases involving children under 9 months of age
(Taylor et al. 1988).
Definitions
 A case of measles. Until 1996, the World Health Organization used the
following clinical case definition:
• generalized maculopapular rash; and
• history of fever 38°C (101°F) or more, (if not measured, “hot” to
touch); and
• at least one of the following: cough, coryza, or conjunctivitis.
The current WHO case definition is:
• any person in whom a clinician suspects measles infection; or
• any person with fever and maculopapular rash and cough, coryza,
or conjunctivitis.
 A measles death. A working definition of a measles death is “a death
which occurs within one month of onset of measles.”
The International Classification of Diseases (ICD) codes for measles
are 055 (ICD-9) and B05 (ICD-10).
It is probable that some measles deaths may occur beyond one month
from onset of the disease. Decreased survival can be recognized epidemiologically following an outbreak of measles. Unless ways are devised
of recognizing this phenomenon on a case-by-case basis, however, it is
not realistic to count such cases as measles deaths. Wherever possible,
a secondary cause of death is defined, such as diarrhoea, acute respira-
Measles
77
tory infection or malnutrition. Even though a death may appear to be
from other causes (e.g. diarrhoea, trauma), it is counted as a measles
death if it occurs within one month of onset of measles.
 Case fatality rate (CFR). The number of individuals who contract mea-
sles and die within one month of the attack, divided by the total number
of individuals who contract measles, expressed as a percentage.
 Acute measles complication. The presence of a sign or symptom of a
recognized complication of measles occurring within one month of the
onset of measles illness.
 Delayed measles complication. A number of studies have indicated that
children who have had measles have significantly increased morbidity
and mortality in the ensuing months when compared with community
controls. This is characterized by failure to thrive, recurrent infections,
persistent pneumonia, and diarrhoea. Vitamin A deficiency will aggravate these problems. The survival rate of children during this phase is
also significantly reduced (Aaby & Clements 1989, Hull, Williams &
Oldfield 1983).
Measurement of incidence
Past attempts by the World Health Organization at measuring disease
burden have been twofold. First, the number of cases reported through
the routine surveillance system has been collected. These data suffer from
gross incompleteness in that only 3–5 per cent of cases that are estimated
to occur are actually reported. Sentinel sites reporting more complete data
for their catchment area still provide incomplete national data. The very
nature of measles means many cases are subclinical or so mild that they
never come to the notice of health workers. Thus, recording the number
of cases reported to health systems is not likely to provide an accurate
picture of the situation, but may, over time, reflect a real trend.
Second, the World Health Organization bases estimates of the number of
cases occurring on coverage levels of measles vaccine. One of the assumptions made in calculating the estimate (see below) is that all children not
immunized will eventually contract measles. This may have been near the
truth in the pre-vaccine era, but is clearly not so in situations where little or
no measles virus is circulating. For all its potential weaknesses, this method
has provided a global estimate that has received general acceptance.
Measurement of complication rates
Complications from measles are listed in Table 4.1. Of these, respiratory
complications and diarrhoea are undoubtedly the most frequent. Uncommon complications include acute encephalitis, nephritis, pneumomediastinum, myocarditis, pericarditis, hepatitis, ileocolitis, and appendicitis.
Subacute sclerosing panencephalitis (SSPE) is a rare, long-term complication of measles. It is a degenerative disease of the brain attributable to a
78
Table 4.1
Global Epidemiology of Infectious Diseases
Complications of measles
Common
Uncommon
Pneumonia
Encephalitis
Diarrhoea
Myocarditis
Laryngotracheobronchitis (croup)
Pericarditis
Eye disease
Pneumomediastinum
Malnutrition
Nephritis
Otitis media
Appendicitis
Severe stomatitis
Subacute sclerosing panencephalitis (SSPE)
Nosocomial infections
Source: Authors
persistent measles virus infection and is the result of an inability of the
immune system to clear the viraemia.
Studies from five countries (Table 4.2) show that at least three-quarters
of cases might be expected to have at least one complication, some with
multiple system involvement. The frequency of complications varies in
different parts of the world. For instance, a study from the United States
of America in 1989 reported complications in 17.4 per cent of cases,
including diarrhoea (6.4 per cent), otitis media (6 per cent), pneumonia
(4.9 per cent), and encephalitis (0.2 per cent) (Centers for Disease Control 1990). The frequency of complications in developing countries is less
well known because of less effective surveillance systems. Hospital-based
surveys have nevertheless shown that the three major problems associated
with a significantly higher mortality than others are pneumonia, diarrhoea,
and croup.
Table 4.2
Studies from five countries on the frequency of complications in measles (as a percentage)
Country
India
South Africa
Tanzania
Thailand
Zambia
Cases < 12 months
28
69
26
15
17a
Unimmunized
NR
NR
65
NR
47
Malnutrition
47
53
61
51
68
Pneumonia
50
76
75
75
21
Diarrhoea
15
78
21
19
88
Croup
NR
32
22
NR
NR
Deaths
NR
10
8
10
15
Deaths < 12 months
NR
12
11
19
67a
Number of cases
150
97
931
522
41
NR – not reported in this study.
a. Less than 9 months.
Sources: India: Raote & Bhave 1992, Tanzania: Burgess, Mduma & Josephson 1986, Thailand: Varavithya et al.
1985, South Africa: Hussey & Klein 1990, Zambia: Ministry of Health 1993.
Measles
79
Measurement of deaths
As with cases, enumerating measles deaths reported to health authorities
is problematic. When deaths are recorded, they are frequently incorrectly
attributed to diarrhoea, chest infection, or malnutrition when they are
actually primarily measles deaths. This is because the underlying cause
may have been measles, but complications did not set in for more than two
weeks. At this time, those looking after the child may not have considered
that measles itself was the cause of death, but rather a complication such
as chest infection. In addition, measles causes increased mortality for up
to a year after the illness, presumably from an altered immune system.
Reports of such deaths are likely to ignore measles as the cause.
Because reporting of measles deaths is subject to so much variation, the
World Health Organization estimates measles deaths based on the number
of cases estimated to occur multiplied by the case fatality rate (CFR). Even
using this technique, both the CFR and the number of estimated cases
may be largely unsubstantiated in some countries, leaving a measure of
uncertainty as to the actual number of deaths attributable to measles.
While the actual number of deaths remains uncertain, a number of well
documented community and hospital studies reveal the complications from
which measles patients die. These are principally acute lower respiratory
infections (ALRI), diarrhoea, and others, many of which represent an
extremely small percentage of the total. Markowitz & Nieberg (1991)
reviewed published articles reporting ALRI-associated measles deaths. In
an unpublished revision of these data, Gindler et al. extended the study to
include deaths from all complications (see Table 3). In 17 studies reviewed,
there were 3515 measles deaths. ALRI deaths reported in community studies were 10 per cent lower than in hospital studies, but it was not possible
to draw any conclusions from community versus hospital-based diarrhoea
deaths because of the small numbers. A child may have more than one
complication from measles and, in the same way, death may be linked with
more than one major pathology. From the review in Table 3, it is reasonable
to make a general statement about the distribution of deaths. Around 67
per cent are associated with ALRI, 27 per cent with diarrhoea, and 5 per
cent with another complication. Data on the prevalence of malnutrition
are scant, but we estimate that up to 40 per cent of measles deaths are
attributable to some level of malnutrition.
Measurement of case fatality rates
Difficulties related to measurement of case fatality rates (CFRs) include
unreliable civil registration, poorly applied definition of a measles death,
and the fact that many measles deaths occur at home, unrecorded by health
facilities. Reported CFRs may be subject to bias, in that most information
is usually obtained from sources that have an unrepresentative caseload.
For example, hospitals tend to admit and report the most serious cases.
Such hospitalized cases are at increased risk of dying compared to nonhospitalized cases.
80
Table 4.3
Global Epidemiology of Infectious Diseases
Distribution of measles deaths by cause
Country of region (study)
Bangladesh (Koster et al. 1981)
Bangladesh (Spika et al. 1989)
Burma (Han, Khin & Hlaing 1990)
England (Ellison 1932)
Kenya (O’Donovan 1971)
Kenya (Hayden 1974)
Latin America (Puffer & Serano
1973)
Nigeria (Obi 1979)
Nigeria (Fagbule & Orifunmishe
1988)
Nigeria (Adedoyin 1990)
Nigeria (Ibia & Asinda 1990)
Papua-New Guinea (Riley et al.
1986)
Tanzania (Barclay, Foster &
Sommer 1987)
West Africa (Morley, Martin &
Allen. 1967)
Zaire (Markowitz et al. 1989)
Zimbabwe (Kambarami et al. 1991)
Type of
studya
Number of
deathsb
Percentage of deaths attributable for
ALRIc
Diarrhoea
Otherd
C
C
H
H
H
C
C
10
122
28
37
66
469
2 106
40
25
50
89
79
72
80
60
—
7
11
42
6
50
0
—
43
0
NEG
22
NEG
H
H
36
70
81
71
14
44
6
NEG
H
H
C
71
80
22
73
70
64
37
29
—
NEG
1
—
H
29
48
14
38
H
266
74
56
NEG
H
H
71
20
66
55
—
30
—
15
a Type of study: C = Community, H = Hospital.
b Data collected from death registries at 13 sites in 8 countries.
c ALRI = acute lower respiratory infections.
d Deaths not attributable to ALRI or diarrhoea. For studies where the total of ALRI and diarrhoea deaths
exceeds 100 per cent, this is designated as “NEG.”
Recognizing that many countries are uncertain of an accurate value
for measles CFR, the World Health Organization/EPI reviewed published
community studies of CFRs. Based on this review and on negotiation with
countries, the World Health Organization now allocates CFRs to countries.
This value ranges from 5 per cent in high-risk countries to 0.1 per cent in
most industrialized countries. Such values must be viewed with caution
in the light of some community studies which suggest that underestimation may occur (Aaby & Clements 1991) and that further work is needed
to refine how CFRs should be calculated. For instance, an outbreak in
Afghanistan resulted in a recorded CFR of 28 per cent for all ages and a
CFR of 42 per cent for children aged 0–4 years (Wakeman 1978).
Tables 4.4–4.6 list studies of case fatality rates, many of which were carried out before significant immunization began. The age-specific incidence
of measles in these locations (and hence the CFR) will certainly have altered
since then. Many countries have greatly improved their treatment capabilities over recent years and have reduced CFRs accordingly. Nonetheless,
recently reported outbreaks confirm that alarmingly high CFRs continue
Senegal (Sy 1967)
Guinea-Bissau (Aaby et al.
1984a)
Kenya (Burström et al. 1992)
Kenya (Burström et al. 1992)
Kenya (Leeuwenburg et al.
1984)
Kenya (Leeuwenburg et al.
1984)
Kenya (Muller et al. 1977)
Mali (Morley 1973)
Mali (Imperato 1975)
Nigeria (Ogbeide 1967)
Nigeria (Morley et al. 1967)
Gambia (McGregor 1964)
Some
56
None
None
None
None
Outbreak investigation
Outbreak investigation
Outbreak investigation
Outbreak investigation
Outbreak investigation
Prospective community
study
Outbreak investigation
None
2.5
5.0
4.7
2.8
2.5
None
60
29
20
3.5
3.5
None
None
Some
90
Median age at
infection (years)
None
Household Survey
Cameroon (World Health
Organization 1979b)
Ethiopia (Lindtjørn 1986)
Gambia (Heyworth 1973)
Gambia (Hull et al. 1983)
Gambia (Lamb 1988)
Immunization
(per cent)
Outbreak investigation
Outbreak investigation
Outbreak investigation
Prospective community
study
Prospective community
study
Prospective community
study
Outbreak investigation
Outbreak investigation
Outbreak investigation
Prospective community
study
Botswana (Osei & Maganu
1987)
Rural Africa
Type of study
9
7
2
13
12
8
34
22
9
0
27
79
222
532
134
98
331
101
259
77
26
63
Number of cases
0–4 years
Case fatality rate
(per cent)
Measles case fatality rates in prospective community studies, Africa
Country or Region (author)
Table 4.4
5
1
38
50
25
2
8
9
6
24
10
5
0
4
0
Case fatality rate
(per cent)
continued
160
734
123
256
665
252
139
424
162
72
132
54
865
135
Number of cases
All ages
Measles
81
Outbreak investigation
Prospective community
study
Outbreak investigation
5.0
None
4
6
2
Some
0
21
15
26
2
18
22
20
None
Some
1.5
2.5
None
Some
2.0
Some
None
None
None
3.5
None
27
None
10
Case fatality rate
(per cent)
27
3.6
Median age at
infection (years)
None
None
Immunization
(per cent)
360
68
1069
78
356
124
119
600
537
87
44
106
160
966
Number of cases
Source: derived from Aaby & Clements (1991)
Note: Only deaths were registered. The case fatality rate is based on the assumption that all non-immunized children in the age group caught measles.
Guinea-Bissau (Aaby et al.
1984b)
Guinea-Bissau (Aaby et al.
1988)
Nigeria (Hondius & Sutorius
1979)
Nigeria (Rea 1968)
Zaire (Kasongo Project Team
1981)
Zambia (Rolfe 1982)
Urban Africa
Senegal (Sy 1967)
Somalia (World Health Organization 1980)
Senegal (Stephens 1986)
Prospective community
study
Prospective community
study
Outbreak investigation
Prospective community
study
Prospective community
study
Prospective community
study
Prospective community
study
Prospective community
study
Prospective community
study
Outbreak investigation
Household Survey
Senegal (Garenne & Aaby
1990)
Senegal (Langaney & Pison
1979)
Senegal (Pison 1982)
Senegal (Pison & Bonneuil
1988)
Senegal (Satge et al. 1965)
Type of study
0–4 years
Measles case fatality rates in prospective community studies, Africa (continued)
Country or Region (author)
Table 4.4
17
14
9
10
13
7
Case fatality rate
(per cent)
459
161
266
221
68
1500
Number of cases
All ages
82
Global Epidemiology of Infectious Diseases
Prospective community
study
Prospective community
study
Outbreak investigation
Outbreak investigation
Guatemala (Gordon, Jansen & Ascoli 1965)
Guatemala (Mata 1978)
Mexico (Cuauhtli, Ruiz-Matus & Neiburg
1990)
Mexico (Sanchez-Vargas, Lopez-Ortiz &
Bustamante-Hernandez 1990)
39
54
None
None
Immunization
(per cent)
5.0
2.0
3.5
10
4
5
Case fatality
rate (per cent)
70
231
292
Number of
cases
0–4 years
Source: derived from Aaby & Clements (1991).
Note: Only deaths were registered. The case fatality rate is based on the assumption that all non-immunized children in the age group caught measles.
Type of study
Median age
at infection
(years)
Measles case fatality rates in prospective community studies, Americas
Country or region (study)
Table 4.5
4
6
2
4
Case fatality
rate (per cent)
230
882
267
449
Number of
cases
All ages
Measles
83
India (Narain et al. 1989)
Bangladesh (World Health
Organization 1986)
Burma (Chin & Thaung 1985)
India (Agarwal et al. 1986)
India (Bhatia 1985)
India (Chavan, Natu & Pratinidhi 1986)
India (Cherian, Joseph & John
1984)
India (Dhanoa & Cowan 1982)
India (Indian Communicable
Disease Bulletin 1985)
India (Indian Communicable
Disease Bulletin 1986)
India (John et al. 1980)
India (Lakhanpal & Rathore
1986)
India (Lobo et al. 1987)
Bangladesh (Koster et al. 1981)
Afghanistan (Wakeman 1978)
Bangladesh (Bhuiya et al. 1987)
Rural Asia
None
None
Outbreak investigation
Outbreak investigation
Prospective community
study
Outbreak investigation
None
None
Outbreak investigation
7.0
3.0
2.6
2.9
None
None
Outbreak investigation
Outbreak investigation
12
2
18
1
26
4
10
None
292
322
50
182
77
78
78
103
3
2 354
510
147
3 458
91
79
2
4
422
2
12
5
5.0
3.0
3.4
3.5
6.0
Number of cases
0–4 years
Case fatality rate
(per cent)
None
None
None
None
None
None
None
Median age at
infection (years)
Outbreak investigation
Outbreak investigation
Outbreak investigation
Prospective community
study
Outbreak investigation
Outbreak investigation
Prospective community
study
Prospective community
study
Household survey
Type of study
Immunization
(per cent)
Measles case fatality rates in prospective community studies, Asia
Country or Region (author)
Table 4.6
7
2
14
1
21
24
8
4
3
2
4
28
771
436
65
241
102
46
182
112
515
3 026
896
327
Number of cases
All ages
Case fatality rate
(per cent)
84
Global Epidemiology of Infectious Diseases
Some
None
Outbreak investigation
Outbreak investigation
Some
Household survey
None
None
Outbreak investigation
Outbreak investigation
None
Outbreak investigation
None
None
None
Outbreak investigation
Outbreak investigation
Outbreak investigation
Some
2.5
4.0
5.0
5.5
6.0
3.0
3.5
4.0
2.6
4.0
None
None
None
None
None
2.5
None
Survey
Outbreak investigation
Outbreak investigation
Prospective community
study
Prospective community
study
Outbreak investigation
Outbreak investigation
3
33
0
1
16
0
21
4
3
4
787
24
1 072
252
74
318
73
90
72
80
Source: derived from Aaby & Clements (1991).
Note: Only deaths were registered. The case fatality rate is based on the assumption that all non-immunized children in the age group caught measles.
Burma (Chin & Thaung 1985)
India (Satpathy & Chakraborty
1990)
India (Siddiqi, Ghosh & Berry
1974)
India (Velhaf et al. 1989)
Urban Asia
Indonesia (World Health
Organization 1979a)
Indonesia (World Health
Organization 1982)
Marshall Islands (McIntyre et
al. 1982)
Papua (Jüptner & Quinnell
1965)
Philippines (Almoiradie-Javonillo & Javonillo 1984)
Sri Lanka (World Health Organization 1985b)
Thailand (World Health Organization 1985a)
India (Swami et al. 1987)
India (Pereira & Benjamin
1972)
India (Reddy et al. 1986)
India (Salunke & Natu 1977)
India (Sharma et al. 1984)
India (Sinha 1977)
67
359
1
1 340
581
50
2 386
2 612
340
4 760
104
731
114
102
181
3
2
0
24
1
0
1
1
12
1
14
4
1
Measles
85
86
Global Epidemiology of Infectious Diseases
to occur in some parts of the world during outbreaks. One outbreak in
Niger in 1992 recorded CFRs of 18.2 per cent in children under 5 years
of age (World Health Organization 1993b) while an earlier outbreak in
Afghanistan resulted in CFRs between 28 and 42 per cent (Wakeman
1978). CFRs may vary during outbreaks, and may differ between studies
in the community and those in hospitals.
Outbreak investigations and retrospective community studies or “verbal
autopsies” have been the most common methods used by researchers to
measure CFRs. These have been used partly because routine data were
not adequate, and partly because events, such as outbreaks, stimulated
researchers to undertake the studies. There are difficulties and biases inherent in both these approaches, however. Retrospective surveys, for example,
are likely to underreport deaths.
Outbreak investigations are likely to be biased in two different ways.
First, outbreaks with high mortality are probably more likely to be investigated. Second, medical intervention in the outbreak may tend to reduce
the associated mortality. Investigations of measles outbreaks, especially in
Africa, have generally reported surprisingly high CFRs. The most reliable
estimates of CFRs for measles should therefore come from areas with existing longitudinal studies of child mortality. The World Health Organization
has developed a standard protocol for use in the community to measure
the CFR during an outbreak (World Health Organization 1993a).
More refined estimates of acute measles mortality may not necessarily
raise the global estimate of measles deaths significantly. The precise size of
the burden of acute deaths from measles, however, remains uncertain.
Risk factors for dying
The burden of measles deaths falls on the very young and those children
already weakened by malnutrition, especially vitamin A deficiency. The
risk of dying is higher the younger the age of onset of measles. In the prevaccine era, the burden of cases (and therefore deaths) fell on the very
young (Figure 4.2), with resulting high overall CFRs. As immunization
programmes have taken effect, the age of onset of the disease has been
pushed higher, helping to lower CFRs.
Hospital studies indicate that the patient’s state of nutrition appears
to be a major risk factor, as mortality during hospitalization is related to
the weight-for-age at admission. In contrast, no community study with
information on state of nutrition prior to infection has documented this
to be a risk factor for outcome (Aaby 1988b). The correlation found in
hospital studies may therefore reflect that children with the most severe and
potentially fatal infections have lost more weight prior to admission.
Whereas anthropometric indices may be of limited value in predicting
the case fatality rate in measles infection, studies have implicated vitamin A
deficiency as an important determinant of measles mortality (Markowitz et
al. 1989). In Indonesia, even mild optical indicators of vitamin A deficiency,
such as night blindness and Bitot’s spots, have been associated with mark-
Measles
Figure 4.2
87
Measles deaths in the Americas, 1971–1980, by age group
70
North
Caribbean
Central
Tropical South
Temperate South
Deaths (percentage)
60
50
40
30
20
10
0
<1
1–4
5–9
10–14
15–19
20+
Age group
edly increased morbidity and mortality in childhood. The incidence of both
respiratory infection and diarrhoeal disease, two of the most debilitating
complications of measles, were also considerably increased in children who
were vitamin A deficient (Sommer, Katz & Tarwotjo 1984).
Sex difference
Garenne (1994) reported an excess of female measles mortality from birth
to age 50. This is contrary to what might be expected in that males generally have higher mortality. Studies of the effect of high-titre measles vaccine
used in children under 9 months of age revealed an unexpected and, as
yet, unexplained lower survival in females compared with controls (Aaby
et al. 1994). It is not clear at this point whether there is a link. Nor is it
clear whether reported sex differences are a consistent phenomenon, are
biologically or genetically based, or whether local social differences may
account for some of the difference.
Review of empirical databases by World Bank Region
The World Health Organization estimates that by 1995 there were 2.4
million deaths annually from vaccine-preventable diseases and 1.16 million
deaths from measles in the developing world. The degree to which measles
virus inflicts death on a region or population (Table 4.7) varies widely
between countries, between regions within countries, and even between
epidemics in the same district. This is partly a result of the difference in
age-specific attack rates, the underlying level of nutrition, the presence or
absence of supportive treatment services, and other environmental and
sociological factors.
24 389
10 680
4 805
23 615
10 985
17 785
18 865
22 280
Number of infants
surviving to 12
months of age
(thousands)
85 705
14 003
19 418
89 612
37 939
8 921
37 959
37 031
Number of
reported
cases
0.30
0.10
0.45
3.00
1.68
1.51
2.14
4.64
CFRa
(per cent)
93
88
93
92
91
84
90
62
BCGb
e. Tetanus toxoid, 2 doses
d. Polio, 3 doses
c. Diphtheria-pertussis-tetanus, 3 doses
b. Bacillus Calmette-Guérin
a. Case fatality rate
95
86
92
90
78
79
83
49
DPT-3c
95
85
93
90
87
79
88
49
Polio-3d
94
78
92
85
83
76
84
49
Measles
Immunization coverage by vaccine (percentage)
The estimated burden of measles by World Bank Region
Source: World Health Organization, WHO/EPI information system, as of October 1994.
CHI
EME
FSE
IND
LAC
MEC
OAI
SSA
World Bank
Region
Table 4.7
2
—
—
78
47
57
68
36
TT2+e
88
Global Epidemiology of Infectious Diseases
Measles
89
Using the number of cases reported is one method of assessing how
many cases of measles are occurring. Table 4.7 shows the number of cases
reported by World Bank Region. Although it is not obvious from the table,
in general it can be said that developing countries with the highest immunization coverage rates experience the lowest incidence of cases.
Assumptions made in calculating the burden of measles
As previously mentioned, reported numbers of cases and deaths may be
highly unreliable for a variety of reasons. The World Health Organization
estimates cases and deaths using a number of assumptions. It is assumed
that all susceptible members of the birth cohort will eventually contract
measles by one year of age. Because the highest death rate in childhood is
under one year of age, and because measles vaccine is generally administered in developing countries between 9 and 11 months of age, the number
of children surviving to one year of age (SI) is taken as a component of the
numerator. For the purposes of the calculation, measles vaccine efficacy
(VE) is taken as 85 per cent (although when administered after one year
of age, it may be 95 per cent or more).
The following formulae are used:
Estimated number
= [1 – (Coverage × VE)] × SI
of cases per year
and
Estimated
number of deaths
occurring per year
=
Estimated
number of
× CFR .
cases per year
These formulae have been used to estimate the numbers of cases and
deaths shown in Table 4.8.
China region
As a result of China’s strong immunization programme, well over 90 per
cent of children are immunized against measles. The surveillance system
is able to detect a far greater proportion of cases than in many countries,
resulting in a high number of reported cases. The burden of disease in this
country, is, however, probably not as great as Table 4.8 would suggest,
bearing in mind the size of its child population. Of those cases occurring,
the CFR is only 0.3 per cent, indicating a strong health infrastructure that
is able to treat cases successfully.
Established market economies
At 78 per cent, measles vaccine coverage is not as high as it could be.
Limited resources and difficult access to services are not obstacles to
immunization in these countries. Parental choice, is, however, a feature
90
Table 4.8
Global Epidemiology of Infectious Diseases
Annual estimated burden of measles by World Bank Region,
1990, unadjusted for background mortality
Region
Estimated incidence of
measles casesa
Estimated CFR
(percentage)b
Estimated number of
measles deathsa
CHI
EME
FSE
IND
LAC
MEC
OAI
SSA
4 902 189
3 559 160
4 233 124
6 553 162
3 235 082
6 295 890
5 395 390
12 993 696
0.30
0.10
0.45
3.00
1.68
1.51
2.14
4.64
14 707
3 559
19 049
196 595
54 349
95 068
115 461
602 907
a. Formula used for the calculation is explained in the text.
b. Case fatality rates (CFRs) are estimated based on the World Health Organization's review of published
studies and country information, summarised in Tables 4.4, 4.5 and 4.6.
of the immunization programmes in many of these nations; when combined
with mediocre promotional activities, the result is that too many children
are not immunized. Significant numbers of cases continue to occur in
pockets of the population, especially in the lower socioeconomic groups,
and epidemics continue to be a feature of the disease. Largely excellent
treatment services ensure a very low mortality rate.
Former Socialist Economies of Europe
An expectation that every child will be processed by child health services
results in a high coverage in these countries. A strong reporting system
means that a higher than average proportion of cases is reported. Nevertheless, treatment services are not quite as successful at preventing deaths
as are some of the established market economies that are their European
neighbours.
India
Given that India began using measles vaccine in its national programme
only in 1985, the progress is truly impressive. The 85 per cent coverage rate
for measles vaccine highlights the enormous numbers of children successfully immunized and protected to date. Higher case fatality rates suggest
pockets of low coverage and areas with inadequate treatment facilities,
poor access to treatment services and a high level of background ill health
and malnutrition including vitamin A deficiency.
Latin America and the Caribbean
Following mass vaccination campaigns against measles in the past decade,
the Latin American and Caribbean countries have been successful in reducing measles. This provides a model for other countries and regions to strive
to emulate over the coming years.
Measles
91
Middle Eastern Crescent
While a few countries have average coverage and measles still occurs,
some countries in this region have attained very high coverage and reduced
measles cases and deaths close to zero. It is to be anticipated that these
high-performance countries will be in a position to eliminate measles in the
near future. Countries performing less well have the potential to improve
performance rapidly and are expected to reduce the burden of disease
accordingly over the next 5 years.
Other Asia and Islands
Some of the larger nations in this region are still suffering from a considerable amount of circulating measles virus, with significant morbidity and
mortality. Other countries, particularly the smaller Pacific Island nations,
have been able to reduce measles to very low levels. As with strongly performing countries in the Middle Eastern Crescent, such nations are in an
excellent position to consider elimination in the next few years.
Sub-Saharan Africa
Children in the countries of this region suffer the greatest burden from
measles. Underlying ill-health and malnutrition interact with measles
infection to produce a high caseload and high CFR. Tragically, this is
also the region where measles vaccine coverage is lowest and the health
infrastructure is least able to cope with providing immunization and curative services.
Administration of measles vaccine is one of the most cost-effective public health tools. A World Bank study calculated the cost-effectiveness of
immunization in disability-adjusted life years (DALYs). The cost of gaining
one DALY is less than US$10 for measles vaccine, to date the most costeffective of all public health interventions studied (World Bank 1993).
Other considerations in calculating the burden of measles
Crowded conditions have been found to be associated with higher case
fatality rates (Aaby 1988a). Large urban agglomerations typically present
ideal conditions for measles transmission, especially among the poor who
live in close proximity to each other and are under-immunized. They also
experience high rates of other infectious conditions as well as reduced
access to medical care. Even in recent outbreaks in such conditions, the
CFR can be as high as 20 per cent (World Health Organization 1993b).
Transmission also occurs in both urban and rural areas in age groups
below the recommended age of immunization. It was previously thought
that the achievement of high coverage in older children would protect
young children by herd immunity, but this has not always been observed
because of the highly infectious nature of measles virus.
The age at which children contract measles depends on a variety of
local circumstances. Because maternal antibodies decay at variable rates in
different parts of the world, different proportions of infants are protected
92
Global Epidemiology of Infectious Diseases
against measles in the first few months of life. As maternal antibodies wane,
the attack rates for measles increase each month to a maximum between
one and two years of age in developing countries. A hospital-based study
in Afghanistan reported a typical picture of the age distribution of cases,
with 74 per cent of all cases occurring between 4 months and 3 years of
age (Arya et al. 1987).
Even so, measles is still responsible for more deaths than any other EPI
target disease. Measles ranks as one of the leading causes of childhood
mortality in the world. In one community study in Kenya (Spencer et al.
1987), measles accounted for 35 per cent of reported deaths in infants
1 to 12 months of age and for 40 per cent of deaths in children 1 to 4
years old. The impact of measles on the lives of millions of young children
every year, particularly in developing countries, indicates the urgent need
for further reduction in measles incidence. The risk of becoming ill or
dying from measles is not evenly distributed in a population but occurs
in high-risk groups which include the urban poor, school children (who
represent cohorts from previous years when coverage was lower and
who may not have been exposed to measles infection), ethnic minorities
(who may have been underserved or may have rejected immunization for
cultural reasons), hospitalized children (who are at high risk of nosocomial
transmission), and children in refugee camps (where crowding facilitates
the spread of the virus).
A number of studies suggest that measles is more severe and is more
likely to result in death in situations where intense exposure occurs, such
as “secondary” transmission (transmission from an index case to other
children in the same household), crowding and outbreaks. A study in the
Machakos District, Kenya (Aaby & Leeuwenburg 1990), showed that in
families with several cases of measles, secondary cases had a higher risk of
dying than those who were infected from outside. Older children, with their
increased mobility, appear to have an increased opportunity for acquiring
infection outside the home but lower case fatality rates because of a lower
infecting dose and a more mature immune system. Another study from
the Gambia showed that measles mortality was strongly associated with
more than 5 measles cases in a household (Hull 1988).
This dynamic does not seem to affect the severity of disease in the same
way in industrialized countries. Sutter et al. (1991) found no difference in
severity between primary and secondary cases in a setting where the overall
severity of measles was much less and mortality was minimal.
Measles as a risk factor for other diseases
As mentioned earlier, there are a number of potent co-factors which may
act in synergy with measles infection to produce serious disease and complications. Among these are malnutrition (especially vitamin A deficiency)
and high background morbidity and mortality from other infections such
Measles
93
as diarrhoeal disease. Measles may cause a number of acute complications,
described in detail below.
Pneumonia
Measles is a major cause of pneumonia in children. It has been estimated
that measles accounts for 6–21 per cent of all cases of pneumonia and
for 8–93 per cent of pneumonia-related deaths (Markowitz & Nieberg
1991). Studies done in the past two decades indicate that pneumonia is a
major complication in hospitalized cases, occurring in about 60–80 per
cent of cases, with CFRs varying from 5 per cent to 20 per cent (Table
4.9) (Tidstrom 1968, De Buse, Lewis & Mugerwa 1970, Commey &
Richardson 1984, Burgess, Mduma & Josphson 1986, Hussey & Klein
1990, Lamabadusuriya & Jayantha 1992, Samsi et al. 1992). Rates during
outbreaks may rise dramatically, as illustrated in the report by Narain et
al. (1989) describing a measles outbreak in an unimmunized rural community in India. The reported incidence of pneumonia was 39.4 per cent
and the case fatality rate was an exceptional 46.3 per cent.
There are few published data on the etiology of measles-associated
pneumonia. Results from three descriptive studies are shown in Table
4.10, indicating that Streptococcus pneumoniae and Staphylococcus
aureus were the predominant isolates (Wesley, Sutton & Widrich 1971,
Dover et al. 1975, Morton & Mee 1986). Ristori et al. (1962) reported
that about 50 per cent of the fatal cases of pneumonia seen in Santiago in
1962 were attributable to S. aureus. Additional evidence for the important role of bacterial superinfection comes from postmortem studies that
reported this problem in 25–50 per cent of fatal cases (Kaschula, Druker
& Kipps 1983).
The study from Nigeria (Morton & Mee 1986) showed that a higher
bacterial isolation rate was found in severe cases of pneumonia (94.7 per
cent) compared to milder cases (37.8 per cent, p < 0.01), and in more
malnourished children (65 per cent) than in better nourished children
(42 per cent, p = 0.07).
Limited studies suggest that viruses are also a significant cause of measles-associated pneumonia. Postmortem studies (histology and virology)
from Cape Town indicate that measles virus, herpes virus or adenovirus
are each responsible for approximately 25 per cent of cases (Kipps &
Kaschula 1976). Serological studies from Nigeria (Morton & Mee 1986)
and Colombia (Dover et al. 1975) found respectively, that 3 out of 7
cases (42.9 per cent) and 5 out of 21 cases (23.8 per cent) were positive
for adenovirus.
Croup
Recent data from both the United States of America and Africa indicate
that croup occurs in approximately 10 to 25 per cent of hospitalized
cases of measles (Table 4.9) (Tidstrom 1968, De Buse, Lewis & Mugerwa
1970, Hancock 1972, Commey & Richardson 1984, Burgess, Mduma &
b. CFR = case fatality rate.
a. IR = incidence rate.
1980–81
1987–88
1988–89
1982–86
1985–87
1990
1948–62
1973–82
1986–87
1972
1990
1981–83
1967–68
Year
—
77
—
75
—
—
26
63
16
—
68
75
79
IRa (%)
—
7
—
10
—
—
1
22
—
—
4
8
20
CFRb (%)
Pneumonia
—
13
22
—
—
19
4.1
11
—
10
—
18
14
IRa (%)
Croup
—
7
7
—
—
1
—
20
—
39
—
23
21
CFRb (%)
79
80
—
3
71
—
—
9
—
—
13
13
—
IRa (%)
—
0
—
8
8
—
—
21
—
—
0
0
—
CFRb (%)
Diarrhoea
Incidence rates of pneumonia, croup and diarrhoea and respective case fatality rates in hospitalized patients with measles
Bangkok (El Behairy et al. 1986)
Cape Town (Hussey & Klein 1990)
Houston (Ross et al. 1992)
Jakarta (Samsi et al. 1992)
Lima (Greenberg et al. 1991)
Los Angeles (Hancock 1972)
Denmark (Tidstrom 1968)
Ghana (Commey & Richardson 1984)
India (Raote & Bhave 1992)
Kenya (Labay et al. 1985)
Sri Lanka (Lamabadusuriya & Jayantha 1992)
Tanzania (Burgess, Mduma & Josephson 1986)
Uganda (De Buse Lewis & Mugerwa 1970)
Country or city
Table 4.9
94
Global Epidemiology of Infectious Diseases
Measles
Table 4.10
95
Frequency of bacterial isolates and complications following
lung and tracheal aspirates in measles-associated pneumonia
Colombia
(Dover et al.
1975)
Colombia
(Dover et al.
1975)
Nigeria
(Morton & Mee
1986)
South Africa
(Wesley, Sutton &
Widrich, 1971)
Aspirate
Lung aspirate
Tracheal aspirate
Lung aspirate
Tracheal aspirate
Number
21
21
56
22
10
5
0
5
—
—
—
—
62
29
10
19
—
—
—
—
55
55
12
9
3
—
3
—
68
0
46
0
0
14
0
27
Pneumothorax
—
—
21
23
Case fatality rate
15
—
18
41
Country (study):
Bacterial isolates (percentage)
Positive cultures
S. pneumoniae
S. aureus
H. influenzae
S. pyogenes
S. viridans
Klebsiella spp
E. coli
Complications (percentage)
Josephson 1986, Hussey & Kelin 1990, Fortenberry et al. 1992, Ross et al.
1992). Case fatality rates vary from about 1 per cent in the United States
of America (Ross et al. 1992) up to an exceptional 40 per cent in some
areas of Africa (Hancock 1972). There are no recently published data on
the incidence of measles-associated croup from Asia or South America.
There are few data on the aetiology of measles-associated croup. Many
children with measles present with croup early in the clinical course, this
complication probably being caused by the measles virus itself. Unpublished data from Cape Town suggest that herpes virus is a common cause
of post-measles croup. Some cases may be associated with oropharyngeal
lesions. Herpes virus (from the oropharynx) and adenovirus (from the
lung) were cultured in 2 of 6 patients with croup in one study from the
United States of America (Ross et al. 1992).
In the Cape Town study, 13 of 189 children (6.9 per cent) were presumed
to have early onset measles-croup and none required airway intervention.
In contrast, late onset croup, presumed to be herpes-associated, occurred
in 40 of 189 patients (21.2 per cent) and 12.5 per cent required intubation
(Hussey & Klein 1990).
Bacterial tracheitis is an uncommon cause of stridor and is usually
due to S. aureus, S. pneumoniae or Haemophilus influenzae infection
(Dover et al. 1975, Labay et al. 1985). Its presentation in measles is not
much different from that in non-measles cases (Conley, Beste & Hoffman
1993). Experience indicates that it should be considered in patients whose
symptoms, in addition to stridor, include toxicity, purulent sputum, or
associated pneumonia.
96
Global Epidemiology of Infectious Diseases
Diarrhoea
It has been estimated that measles-associated diarrhoea accounts for 1–7
per cent of all diarrhoeal episodes and 9–77 per cent of diarrhoeal deaths
(Feachem & Koblinsky 1983). The proportion of measles cases presenting
with diarrhoea varies greatly as does the CFR (Table 4.9). In a measles outbreak in an unimmunized rural community in India the reported incidence
(and CFRs) of diarrhoea and dysentery were, respectively, 32.2 per cent
(4.8 per cent), and 10.8 per cent (13.3 per cent) (Narain et al. 1989).
Few studies have evaluated the role of measles in persistent diarrhoea.
A prospective, community-based study from Bangladesh (Koster et al.
1981) reported that 25 per cent of measles-associated diarrhoea lasted for
7 or more days. The CFR was significantly higher when associated with
prolonged diarrhoea (i.e. lasting 7 or more days); 11.9 per cent compared
to 1 per cent in those with diarrhoea lasting less than 7 days. In addition,
in children with acute diarrhoea, those with measles-associated diarrhoea
had a higher case fatality rate (1 per cent) than those without measles (0.1
per cent).
In contrast, a prospective hospital-based study (Dutta et al. 1991) on
persistent diarrhoea reported that no such cases occurred in children who
had reported having had measles in the previous 6 months.
The aetiology of measles-associated diarrhoea has been well defined in
four case-controlled studies (Varavithya et al. 1985, 1989, Greenberg et al.
1991, Sang et al. 1992). A few distinct trends are noted when comparing
the cases (measles-associated diarrhoea) and controls (non-measles-associated-diarrhoea). The frequency with which no pathogen was identified was
higher in cases than in controls in all of the studies. This would suggest
that many cases of measles-associated diarrhoea (varying from 8 to 46
per cent) were attributable to measles virus per se. Rotavirus was isolated
in 16 to 30 per cent of controls in three studies where it was looked for,
while it was virtually never isolated in cases of measles (Varavithya et al.
1989, Greenberg et al. 1991, Sang et al. 1992). Parasitic infections were
more common in the two studies (Varavithya et al. 1989, Greenberg et al.
1991) where this was looked for. The reason for this phenomenon may be
related to the immune suppression of measles. No difference was noted
in bacterial isolation rates, except for one study (Greenberg et al. 1991)
indicating a higher rate of campylobacter isolation.
Additional support for the belief that measles virus may be a cause of
mild diarrhoea comes from a descriptive study from Egypt (El Behairy et
al. 1986) which reported that the bacterial stool cultures of children with
mild diarrhoea (n = 33) were negative in 42 per cent of cases compared
to 27 per cent in children with moderate diarrhoea (n = 11) and none in
severe diarrhoea (n = 6).
Malnutrition
Malnutrition has generally been held to be the major predictor of mortality in cases of measles. Data derived mainly from hospital surveys show
Measles
97
that children who are significantly malnourished have a higher morbidity
and mortality rate (Table 4.11) (Burgess, Mduma & Josephson 1986,
Samsi et al. 1992, Alwar 1992). This, however, does not necessarily imply
a causal relationship. It has been shown that measles is an extremely
catabolic event and that children lose a significant proportion of weight
following infection. The amount of weight loss may be related to severity
of infection (infecting dose). The presence of dehydration resulting from
diarrhoea and reduced fluid intake exacerbates weight loss and complicates
the assessment of nutritional status. Most studies have not controlled for
dehydration. An exception is a study from Kenya (Sang et al. 1992) which
also reported a longer hospital stay for severely malnourished children.
If malnutrition is a risk factor, then the effects are probably mediated via
immune suppression.
In a review of risk factors for measles, Aaby (1991) reported that no
difference in mortality was noted in relation to nutritional status in community based studies (except for one in Bangladesh).
Conjunctivitis and keratitis
Conjunctivitis and keratitis are hallmarks of measles and mild cases usually
resolve within a few days of onset. Treatment is supportive and topical
antibiotics are frequently prescribed, although their efficacy in preventing
secondary bacterial infections has not been tested.
Significant corneal damage in children with measles can result in blindness (Foster & Sommer 1987). The causes of corneal damage include
measles virus infection, secondary herpes or bacterial infection, and
chemical conjunctivitis as a result of harmful eye practices such as herbal
remedies and vitamin A deficiency (xerophthalmia).
Table 4.11
Association between nutritional status and complications
Percentage of expected weight
Country of city (study)
All
>80
60–80
<60
Pneumonia
74.9
61.9
84.6
100.00
Diarrhoea
18.6
13.7
19.9
39.2
Convulsions
7.5
8.2
7.7
2.2
Otitis media
5.9
6.7
5.9
2.2
23.1
Morbidity
Jakarta (Samsi et al. 1992)
Mortality
10.3
5.9
12.7
Kenya (Foster & Sommer 1987)
1.8
0.8
1.4
4.0
Tanzania (Burgess, Mduma &
Josephson 1986)
8.0
3.6
7.3
24.5
Jakarta (Samsi et al. 1992)
98
Global Epidemiology of Infectious Diseases
Xerophthalmia
The association between infections and xerophthalmia is a well-recognized
observation. In a global review of xerophthalmia, Oomen, McLaren &
Escapani (1964) stated that “there appears to be a universal relationship
between infectious diseases and xerophthalmia. This relates especially to
measles….” The results from case control studies, however, are conflicting.
Studies from Ethiopia (De Sole, Belay & Zegeye 1987) and Malawi (Tielsch
et al. 1986) reported significant risk ratios (4.6 and 1.6 respectively) but
studies from the Philippines (Solon et al. 1978) and Bangladesh (Stanton
et al. 1986) found no significant association.
A prospective study from India (Reddy et al. 1986) reported that conjunctival signs of xerophthalmia developed in 1.1 per cent of children
(3 out of 281) in the 6-month period following measles, compared to
0.5 per cent of children (4 out of 819) without measles. The relative risk
of developing xerophthalmia was 2.19 times greater following measles,
although the 95 per cent confidence intervals were wide, 0.49 to 9.71, p
= 0.25. Children presenting with acute corneal xerophthalmia during the
early stage of measles (10 of 318) were excluded from the analysis.
Acute encephalitis
Central nervous system (CNS) manifestations may be a consequence of
a number of measles-associated complications including hyperpyrexia,
hypoxaemia associated with pneumonia and croup, and dehydration and
electrolyte disturbance associated with diarrhoea. In a 1963 communitybased survey in the United Kingdom (Miller 1964), neurological disturbances, which include a range of CNS problems including encephalitis,
were reported in 0.4 per cent of cases; and 0.1 per cent were regarded
as having encephalitis. In a subsequent hospital-based study in Denmark
(Tidstrom 1968), encephalitis was seen in 1.4 per cent of patients with a
CFR of 9 per cent. At follow-up, 32 per cent of survivors had some neurological dysfunction. The epidemiology of this complication in developing
countries has not been well described. Reported CNS complications in
developing countries (Varavithya et al. 1985, Wahab et al. 1988, Samsi et
al. 1992, Raote & Bhave 1992, Lamabadusuriya & Jayantha 1992) are
shown in Table 4.12. The major area of concern relates to the diagnostic
criteria for encephalitis in developing countries. The lack of standard case
definitions makes comparison of data difficult.
Otitis media and stomatitis
Although otitis media and severe stomatitis are well recognized complications of measles, there are very few publications dealing with their aetiology, natural history, complications, and management. A study from South
Africa reported that herpes virus infection was detected in 43 per cent of
hospitalized cases and 37 per cent of outpatient children with measles
(Orren et al. 1981).
Measles
Table 4.12
99
Frequency of central nervous system complications in
measles
Location (study)
Year
Clinical criteria
Percentage
Bangkok (Varavithya et al. 1985
1980–81
Encephalitis
Ghana (Commey & Richardson 1984)
1973–82
Coma or convulsions
3.2
India (Raote & Bhave 1992)
1986–87
Encephalitis
Meningitis
Convulsions
8.0
3.3
2.6
1990
Encephalitis
4.3
Sudan (Wahab et al. 1988)
1988
Convulsions
Thailand (Samsi et al. 1992)
1982–86
Sri Lanka (Lamabadusuriya & Jayantha 1992)
Convulsions
Encephalopathy
13.9
7.2
17.0
Nosocomial infections
Children with measles are prone to secondary infections, particularly when
hospitalized. Data are, however, lacking on the subject. A retrospective
case-controlled study in South Africa reported that nosocomial bacteraemia was six times more common in children with measles than in general
paediatric patients (Hussey & Simpson 1990). The predominant organisms
were gram-negative ones (Klebsiella and Salmonella), accounting for 86.5
per cent of the isolates, and 23 per cent were multiple drug resistant.
Morbidity from delayed complications
A number of studies have indicated that children who have had measles
have significantly increased morbidity and mortality in the ensuing months
when compared with community controls.
A case-controlled study in Lima (Greenberg et al. 1991) reported that
the number of episodes of diarrhoea in the month following measles was
significantly greater than in the absence of measles, as was the duration of
episodes. No differences in weight gain pattern were, however, observed,
which may be ascribed to good home-based follow up. A prospective,
community-based study in Bangladesh (Koster et al. 1981) reported that
children with measles complicated by diarrhoea for 7 days or more failed
to improve their nutritional status compared to controls with diarrhoea or
to children with measles complicated by a brief attack of diarrhoea.
In India, in a follow-up study of children for a period of 6 months after
hospitalization, Bhaskaram et al. (1984) found that children gained hardly
any weight in the first month but thereafter they gained weight, although
more slowly than the controls. In addition, the frequency of other infections was 10 times that of the controls during the period.
In a prospective, community-based study of 281 cases of measles and
819 controls, Reddy et al. (1986) found that 34 per cent of the children
with measles developed chest infections in the 6 months following infection,
100
Global Epidemiology of Infectious Diseases
compared to 6 per cent of the control children. In addition, the incidence
of hospitalization was, respectively, 2.9 per cent versus 0.4 per cent.
It has generally been believed that measles predisposes people to the
development of tuberculosis or its reactivation as a consequence of immune
suppression. A comprehensive review by Flick (1976) concluded that the
evidence for this assumption was not very strong. Decreased tuberculin
skin reactivity should not be equated with reduced tuberculosis immunity
or increased risk of tuberculosis. No recent data support or refute the
hypothesis.
Measles has been associated with recurrent chest infections and bronchiectasis. The magnitude of the problem has, however, not been quantified.
In South Africa, a number of cases have been shown to follow measles
(Kaschula, Druker & Kipps 1983).
Studies in West Africa have reported that children with measles had a
fivefold to tenfold greater risk of dying in the year following an attack of
measles, compared to community controls (Hull 1988). The effect was
most noticeable in those under one year of age. A recent study in Kenya
(Burström et al. 1992) reported a mortality rate of 4.3 per cent in children
aged 8–35 months living in compounds where there was a measles outbreak
the previous year. The mortality rate in the compounds where there was
no measles was much lower (1.1 per cent), but this was not statistically
significantly because of the small numbers.
The reasons for the increased morbidity and mortality following measles are unclear, but may theoretically be attributable to viral persistence
(although this has never been demonstrated), persistent immune suppression or vitamin A deficiency, or more likely a combination of these.
Certain conditions are known to result from measles infection and
cause long term disability. These include blindness, mental retardation,
brain damage (including brain abscess, deafness, and fits), and vitamin
deficiencies.
Conclusion
Case fatality rates have dropped dramatically over the past 20 years,
especially in countries with good primary health care facilities. Simple
inexpensive treatments for complications prevent death. These include the
administration of oral rehydration fluids, antibiotics, nutritional management, and vitamin A. Case fatality rates remain high in areas where these
measures are not available, where communities are not provided with the
services, not educated to avail themselves of the services or are unable to
afford them, or where there is an underlying problem of malnutrition or
vitamin A deficiency.
Burden with no intervention
If there were no immunization with measles vaccine, no administration
of vitamin A and no treatment of complications, measles would remain
Measles
101
one of the greatest killers of children. Virtually every child in the world
would eventually contract measles. At least 90 per cent of children under
5 years of age could be expected to contract the disease. In industrialized
countries, at least 10 per cent of children would develop complications,
but only about 0.1 per cent of those would die (mostly from encephalitis).
In developing countries, however, with high transmission rates in very
young children, complication rates could be as high as 70–90 per cent,
with case fatality rates at 6 per cent, and as high as 25 per cent in some
outbreaks. A conservative estimate would be 16 million deaths; but taking into account very high local case fatality rates and the possibility of
delayed mortality, that figure could easily be doubled.
Cost of interventions
High measles vaccine coverage throughout a population, followed by
mass campaigns, has been shown capable of eliminating measles in the
Americas. In the early 1990s, measles vaccines were inexpensive at about
US$0.15 a dose and were at least 85 per cent effective when administered
correctly. There is strong evidence suggesting that the measles virus could
be eliminated from large portions of the world with existing technologies.
Global eradication will be a greater challenge but is considered by many
to be at least theoretically possible. In the meantime, properly applied
simple treatments could reduce deaths to as low as 0.1 per cent of cases
(complications such as encephalitis are likely to prevent case fatality rates
from reaching zero).
Measles immunization is probably the most cost-effective public health
intervention in the world. Estimates suggest that the cost per life-year
gained for expanding measles coverage in a routine programme from 50
per cent to 80 per cent is US$2.53 (at a discounted rate) in areas with high
disease incidence and high measles case fatality rates.
The cost of immunizing a child against measles in a mass campaign
is assumed to be in the order of US$0.60 if conducted jointly with a
poliomyelitis national immunization day, or US$1.20 for a stand-alone
measles campaign. These figures can be combined with modelling results
to calculate the cost per death prevented. This suggests that adding mass
measles campaigns to a strategy of improving routine coverage is highly
cost-effective. For a baseline campaign aimed at children aged 9–59
months, the cost per death prevented is US$40 if measles vaccine is given
as part of a poliomyelitis national immunization day activity. The overall
cost per death prevented by a campaign aimed at children aged 9 months
to 14 years is still excellent value at around US$166.
Update
Following the assessment of the burden of measles in the 1980s, global
measles vaccine coverage flattened out at around 80 per cent. This overall
102
Global Epidemiology of Infectious Diseases
figure conceals many areas and districts with much lower coverage and
proportionately higher risks of measles virus circulation. A supreme effort
will clearly be needed if coverage is to be raised above this level globally,
and especially in some trailing countries.
In the late 1990s, when stagnation in coverage levels seemed likely,
countries in the Americas stepped up their efforts at measles control by
achieving high coverage for routine vaccination, following this up with
mass campaigns for children aged 9 months to 14 years. Island nations such
as Cuba showed that it was possible to interrupt measles virus transmission
in this way. Following this example, mass campaigns aimed at elimination
were held in all countries of Latin America. Indigenous measles has now
been eliminated from the Americas.
In other parts of the world, mass campaigns are now being carried out
in many countries and situations. As well as drives towards elimination,
campaigns are being conducted in situations where there are epidemiological grounds for thinking that an outbreak is expected. Studies show that
mass campaigns performed after an outbreak is under way have virtually
no impact and are expensive (Aylward, Clements & Olivé 1997). Preventive
campaigns using measles-containing vaccines (such as measles-rubella or
measles-mumps-rubella vaccines) have been implemented in, for instance,
the United Kingdom with great success. In addition, mass campaigns have
been used in high-risk situations such as refugee populations or in the
urban environment when intense transmission is anticipated.
In more than one hundred countries, vitamin A supplementation has
been provided with national immunization days for poliomyelitis eradication. While not yet eliminating vitamin A deficiency, this has undoubtedly
reduced the burden of disease from lack of the micronutrient, and it is
anticipated that a major impact will be demonstrable over the long term in
reducing the mortality and morbidity from measles infection as a result.
The latter part of the 1990s saw a dramatic change in the epidemiology
and control of measles. The successes of the smallpox and the poliomyelitis
eradication initiatives have demonstrated the human capacity for controlling infectious diseases. It will soon become clear whether the global community is prepared to pay the price to eradicate measles from the globe.
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Chapter 5
Poliomyelitis
Kenji Shibuya, Christopher JL Murray
Introduction
Poliovirus is an enterovirus in the family of Picornaviridae and consists of
three antigenic types, 1, 2, and 3. All three types cause paralysis and the
poliomyelitis vaccine is intended to be antigenic for all of these. Poliovirus
type 1 causes paralysis most often and is responsible for most epidemics in unvaccinated populations (Assaad & Ljungars-Esteves 1984, Sen,
Sharma & Sarthanam 1985, Kadi et al. 1988, Khare et al. 1991). Some
outbreaks due to poliovirus type 1 have been reported among unimmunized
populations in regions with high vaccine coverage (Kim-Farley et al. 1984,
Sutter et al. 1991, Otten et al. 1992). In contrast, the poliomyelitis cases
in vaccinated populations are usually caused by types 2 and 3 (Assaad &
Ljungars-Esteves 1984).
Immunity to poliovirus is lifelong. Poliovirus infections occur only in
humans and there is no animal reservoir. This is one of the key characteristics for possible eradication of poliomyelitis. Spread of infection by
faecal–oral routes is most common in developing countries with poor
hygiene and sanitation, while oral–oral (respiratory) infection may be
more common in industrialized countries and during outbreaks. Perinatal
transmission from mothers to newborn infants also occurs. After oral
ingestion of poliovirus, the virus first multiplies in the lymph nodes in the
pharynx and gastrointestinal tract. The incubation period is 4 to 35 days,
most cases occurring 1–3 weeks after exposure. Once the virus enters the
human body, it invades local lymphoid tissues, enters the bloodstream,
and then may invade anterior horn cells of the spinal cord. As it multiplies
intracellularly, poliovirus may cause temporary or permanent damage of
the nerve cells due to the inflammation process. Other areas of both the
spinal cord and brain may be affected as well.
Most poliovirus infections are asymptotic. Non-septic illness with lowgrade fever and sore throat (minor illness) occurs in 4 to 8 per cent of
infections. Aseptic meningitis occurs in 1 to 5 per cent of patients a few
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days after the minor illness has resolved. Severe illness with rapid onset of
asymmetric, acute flaccid paralysis (AFP) resulting from damage of lower
motor neurons, with areflexia of the involved limb and without loss of
sensation occurs in 0.1 to 2 per cent of infections. Bulbar paralysis and
paralysis of respiratory muscles may occur. Incidence of residual paralytic
disease ranges from 1 per 1000 to 1 per cent of infections, and thus most
cases are asymptomatic. Although cases are rarely recognized (Ledinko
1951, Debre & Thieffery 1955, Melnick & Nathanson & Martin 1979),
incidence is known to be higher among older patients (Halstead et al.
1985). Despite the fact that, of those who survive an acute attack, most
will recover some degree of function in the affected muscles, the true
burden of paralytic poliomyelitis is that the affected patients may suffer
from disability and handicap for the rest of their life and only a minority
will recover completely. Patients with a history of paralytic poliomyelitis,
in particular those who were older at the onset of polio infection and had
an initially severe presentation of poliomyelitis, may present years later
with complaints of muscle pain and increased weakness in the previously
affected limb: late effects or post-paralytic-poliomyelitis syndrome (Halstead, Wiechers & Rossi 1985). Although it has a good prognosis, it may
alter the sequelae of the disease burden.
It is well known that there are temporal and epidemiological changes in
the pattern of transmission of poliovirus (Anderson & May 1993, Horstmann 1982, Melnick 1990, Nathanson & Martin 1979, Paul et al. 1952).
Melnick (1990) has suggested that poliomyelitis can be viewed as having
three major phases: endemic, epidemic, and vaccine-era. Because of poor
sanitation and hygiene in most developing countries, polioviruses circulate
freely among infants and young children. Therefore, almost all children
develop antibodies to at least one of the three poliovirus types before 5
years of age. Consequently, clinical poliomyelitis in tropical developing
countries is almost exclusively an infantile disease, with more than 90 per
cent of cases occurring under the age of 5 years because of age-dependent
acquisition of immunity (Babaniyi & Parakoyi 1991, Heymann et al.
1983, Mahadevan et al. 1989, Ofosu-Amaah, Kratzer & Nicholas 1977,
Onadeko & Familusi 1990, Prabhakar et al. 1981, Sabin & Silva 1983,
Thuriaux 1982). As hygiene and sanitation improve, paralytic poliomyelitis
will become epidemic and affect young adolescents and the older population, where it is more likely to cause severe illness (Anderson & May 1993,
Nathanson & Martin 1979, Paul 1955). It has been shown that the age
distribution of reported cases during 1944–1950 in England and Wales
moved towards an older age group, with 30 per cent of reported cases
occurring over 15 years of age (Table 5.1) (Freyche & Nielsen 1955). A
similar age shift in the incidence of poliomyelitis was observed in a review
of cases in the United States from 1969 to 1981 (Moore et al. 1982). These
two phases sometimes coexist and are seen in developing countries where
vaccine coverage has not been adequate.
Poliomyelitis
113
Table 5.1
Percentage distribution of notified cases of poliomyelitis
by age-group and median age of notified cases: England and
Wales, 1912–19 and 1944–50
Year
Sex
0–5
5–14
15 and over
Total
(per cent)
Median age
(years)
1912–19
Male
Female
64
66
28
28
8
6
100
100
3.93
3.90
1944–50
Male
Female
34
33
37
33
29
34
100
100
8.46
9.15
Percentage distribution by age-group (years)
Review of past attempts at measuring the burden
of poliomyelitis
Paralytic poliomyelitis causes significant lifelong disability and handicap
in affected persons. Since the early 1970s, lameness surveys to determine
the prevalence of residual paralysis resulting from poliomyelitis have been
carried out, particularly in developing regions (a detailed list of lameness
surveys and their poliomyelitis prevalences is available from the authors
on request). As a consequence of high immunization coverage and specific
programmes to eradicate poliomyelitis, the global incidence of poliomyelitis
has fallen dramatically since the initiation of the poliomyelitis eradication initiative in 1988 (Figures 5.1 and 5.2). It is suggested, however,
that under the current reporting system, actual prevalence or incidence of
poliomyelitis in the world is still underreported, particularly in developing
countries (Tangermann et al. 1997, World Health Organization 1994). The
reported cases in the African Region in 1990 was initially only 572, but
was revised and given as 4408 cases in the official figure. WHO estimated
that the actual incidence of poliomyelitis in the world was approximately
Figure 5.1
Global immunization coverage (per cent) of OPV3 for
children in the first year of life
90
80
Percentage
70
60
50
40
30
20
10
0
1984 1985 1986 1987 1988 1989 1990 1991 1992 1993
Year
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Figure 5.2
Reported incidence of indigenous poliomyelitis
70
60
Percentage
50
40
30
20
10
0
1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993
Year
148 000 in 1990, based on the assumption of a vaccine efficacy of 80 per
cent and a paralysis rate of 5 per 1000 infections (Expanded Programme
on Immunization 1993). Similarly, although a total of 7898 cases of poliomyelitis were reported in 1993, WHO estimated that 110 000 cases of
poliomyelitis occurred, suggesting that reporting efficiency was less than
10 per cent (World Health Organization 1994).
It is well known that indirect estimates of incidence derived from lameness surveys have suggested a much heavier disease burden than reported
cases would suggest. There is a considerable difference between low incidence of reported cases and the relatively high incidence derived from lameness surveys (Table 5.2) (Evans 1984, Melnick 1990). The prevalence of
paralytic poliomyelitis in lameness surveys ranges from less than 1 per 1000
to more than 20 per 1000 and is 3–4 cases per 1000 on average among
Table 5.2
Annual incidence of poliomyelitis per 100 000 total
population during the period 1976–1980
Country
Burma
Cameroon
Côte d’Ivoire
Egypt
Ghana
India
Indonesia
Malawi
Thailand
Yemen
Reported Incidence
Estimate from lameness survey
1.1
1.2
1.2
1.8
2.3
2.1
0.1
1.2
1.7
3.3
18
24
34
7
31
18
13
28
7
14
Poliomyelitis
115
school-age children in most developing countries (Bernier 1984). There
is some variation within countries (urban or rural) and between regions.
A review of surveys reveals considerable variation in both the choice and
use of survey methods and in the assumption made in the analysis and
interpretation of findings (Bernier 1984). The true magnitude of the burden
of poliomyelitis in 1990, just before the wide dissemination of the key
strategies for global poliomyelitis, was thus not well documented.
Definition and Measurement
The incidence of poliomyelitis can be estimated in a variety of ways: surveillance of clinical diagnoses, such as diagnosis of acute flaccid paralysis
(AFP); laboratory confirmation of poliovirus isolated from cases; indirect
estimation through lameness surveys of prevalence; and serosurveys for
poliomyelitis neutralising antibodies (Pan American Health Organization
1993). A definitive diagnosis is made by laboratory confirmation. Virus
isolation from stool culture is the most reliable, and is thus a standard for
diagnosis of poliomyelitis incidence. At the population level, poliomyelitis
incidence has been estimated either by lameness surveys to identify cases
with residual paralysis or by AFP surveillance of acute cases. AFP surveillance has been proposed as one of the key strategies for the eradication of
poliomyelitis and implemented more widely since the early 1990s (Hull et
al. 1994). Before the use of AFP surveillance became widespread, indirect
estimation of poliomyelitis incidence from lameness surveys was more
common (Bernier 1983). In serosurveys for poliomyelitis, antibodies are of
little use for estimating incidence since it is almost impossible to distinguish
antibodies formed in response to vaccination from those formed in response
to wild poliovirus (Pan American Health Organization 1993).
Surveillance and reporting by health care providers is most often used
in many countries, but the standardized and systematic surveillance of
poliomyelitis was not feasible until the 1990s in most developing countries with relatively poor information systems, with the exception of Latin
America and the Caribbean (de Quadros et al. 1997, Pan American Health
Organization 1993). It is suggested that, in the early 1990s, many cases
of paralytic poliomyelitis were not reported (Robertson et al. 1990, Ward
et al. 1993, World Health Organization 1994). The process of developing a highly efficient surveillance system capable of detecting all cases
of poliomyelitis is one of the critical steps leading to eradication. The
World Health Organization has recommended using standardized case
definitions for active surveillance of AFP (Andrus et al. 1992, Biellik et
al. 1992, de Quadros et al. 1991, Hull et al. 1994, Pan American Health
Organization 1988).
Whether the surveillance is effective or not depends largely upon the
sensitivity and specificity of the case definition. In the early years of efforts
to eradicate the poliomyelitis when wild poliovirus was prevalent, AFP
cases were “confirmed” as poliomyelitis if they met one of the following
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criteria: laboratory confirmation, epidemiological linkage to another case
of AFP or to a confirmed case of poliomyelitis, residual paralysis 60 days
after onset of symptoms, death or lack of appropriate investigation of a
reported AFP case (de Quadros et al. 1997, Pan American Health Organization 1993). Therefore, AFP surveillance to detect paralytic poliomyelitis
had relatively high sensitivity but its specificity was low, resulting in a large
number of false positives. In 1990, of 2497 cases of AFP that were reported,
only 18 had wild poliovirus isolates from the stool (Dietz et al. 1992). In
the AFP surveillance in China during the early 1990s, Chiba et al (1992)
showed that 25 of 130 AFP cases were actually poliomyelitis, which 40
per cent of cases were attributable to either Guillain-Barré syndrome or
transverse myelitis. In contrast, it has been suggested that, among children
with AFP, the use of criteria such as age under 6 years and either presence
of fever at the onset of paralysis or a less than four-day period for complete development of paralysis, result in a sensitivity of 96 per cent and
an increase in specificity to 49 per cent (Andrus et al. 1992, Dietz et al.
1992). Even though data may be comparable and internally consistent, a
relatively small number of reported cases might be attributable to biases in
selection and observation attributable to qualification of health personnel
and other social, cultural and economic factors.
As the programme for the eradication of poliomyelitis progresses,
with increasing vaccine coverage and reported AFP cases, the criteria
for confirmation have become more specific (de Quadros et al. 1997).
In 1990, the definition of confirmed cases was modified and the criteria
for final classification were shifted from a clinical classification scheme to
greater reliance on the virological investigation (World Health Organization 1998). Accordingly, an AFP case is confirmed only if it is associated
with wild poliovirus isolation from either the patient’s stool or a specimen
obtained from a contact of the patient. Under this classification system,
AFP cases that resulted in residual paralysis or death or that could not be
fully investigated or neither be confirmed nor discarded are classified as
“compatible” cases with poliomyelitis. Such cases indicate a failure of the
AFP surveillance system to collect adequate specimens in a timely manner
(de Quadros et al. 1997). Following successful use in Latin America and
the Caribbean, the experiences and the success in the LAC Region, AFP
surveillance emerged as one of the key strategies for polio eradication
and was more widely used in developing countries during the 1990s (Pan
American Health Organization 1988, 1994). The efficiency of surveillance
is, however, higher in countries with a low incidence of poliomyelitis,
and lower in countries with high levels of this disease. This was true, in
particular during the early years of AFP surveillance around 1990. Thus,
data on incidence of AFP cases are inadequate for the estimation of incidence of poliomyelitis in 1990 in established market economies and in
Latin America and the Caribbean (Birmingham et al. 1997b, Centers for
Disease Control and Prevention 1994).
Before the introduction of AFP surveillance, indirect estimation of
Poliomyelitis
117
incident cases from lameness surveys was more widely used, particularly
in the endemic regions. The case definition used in the lameness surveys
includes: acute onset of the disease; no progression; intact sensation; atrophy of muscle; and flaccid paralysis (Singh & Kumar 1991). In paralytic
poliomyelitis, muscles in the proximal lower limbs are usually involved.
Clinical data from several developing countries, where more than 95 per
cent of poliomyelitis cases occurred in children under 5 years of age,
showed evidence of involvement of the lower limbs in 78 to 86 per cent
of cases (LaForce et al. 1980). La Force and colleagues (1980) have suggested that any prevalence study of poliomyelitis in developing countries
that uses a lameness survey as a criterion for diagnosis would identify
approximately 80 per cent of cases and the total prevalence of residual
paralysis attributable to poliomyelitis could be estimated by multiplying
the prevalence by 1.25 or
Total cases
100
=
Lower limb cases 80
.
In contrast, studies in the established market economies have shown a
slightly higher rate of residual paralysis because of the difference in agecomposition of cases (Nathanson & Martin 1979). For example, 203
paralytic poliomyelitis cases were reported from 1969 to 1981 in the
United States, and lower limb involvement was present in 180 patients
(93 per cent) among 193 patients for whom the site of spinal paralysis
was specified (Moore et al. 1982).
To estimate incidence from prevalence in a lameness survey, it must
be assumed that the region is in a stable, endemic condition. Under this
assumption, and if, as in most developing countries, most cases occur in
children under 5 years of age, the paralysis attributable to poliomyelitis
in the 5–9 year age group may reflect the residual paralytic cases which
occurred in the 0–4 year age group from 1 to 5 years ago. The following
simple formula can be used to estimate the incidence of paralytic poliomyelitis from 1 to 5 years of age:
I=
P5 − 9 × 1.2
25
5
where I is the annual incidence of paralytic poliomyelitis and P5–9 is the
prevalence of lameness in the 5–9 year age group (LaForce et al. 1980).
Some studies show that majority of cases occur before 4 years of age.
Therefore, the denominator here should be altered according to the epidemiological pattern of the region (Bernier 1984). This case definition
assumes that the sequelae of residual paralytic poliomyelitis are observable and distinctive enough to be reliably attributed to poliomyelitis. But,
the assumption may not hold, since it is difficulty to make an accurate
etiological diagnosis long after the onset of illness (Pan American Health
Organization 1993). The problems of sensitivity and specificity of case
118
Global Epidemiology of Infectious Diseases
definition and sample size of a lameness survey still remain as in AFP
surveillance.
First, there are a number of possible outcomes after poliomyelitis infection. These outcomes are important since it is only the child with residual
paralysis who can be identified at a later date as having had poliomyelitis.
According to the study conducted in Greater Bombay, India, from 1971
to 1975 (Table 5.3), 74 per cent of the cases showed residual effects when
assessed 2 months after the initial onset of paralysis and 26 per cent of the
cases, including deaths and patients who recovered completely, would not
have been detected in a later clinical survey (Chodankar & Dave 1979,
LaForce et al. 1980). Thus, prevalence surveys of residual paralysis due to
poliomyelitis will always underestimate the true incidence of the disease,
ignoring fatal cases and complete recovery cases. A rough estimate of all
clinical cases of poliomyelitis could be made by multiplying the prevalence
rate of residual paralysis attributable to poliomyelitis by 1.33 (LaForce
et al. 1980).
Second, schoolchildren have often been selected as the sample for lameness surveys because of the feasibility of such studies in terms of cost and
time (Belcher et al. 1979, Joseph et al. 1983). The population of schoolage children in the catchment area might, however, not be representative
of the population at risk since not all school-age children attend school,
particularly lame children, children living in remote rural areas, or female
children in certain societies. Consequently, it is difficult to generalize the
results to other populations. As demonstrated in the surveys in several
developing countries (Belcher et al. 1979, Heymann et al. 1983, Heymann
1984), the sensitivity of school-based surveys is not always as high as that
of community-based surveys with house-to-house case finding and may
lead to underestimation of the true magnitude of the burden of poliomyelitis. House-to-house surveys, although expensive and time-consuming,
are a sensitive method of identifying lame children in both urban and rural
regions. School surveys and reviews of hospital and clinic registers, while
equally sensitive in urban regions, are less sensitive in rural regions and may
significantly underestimate the annual incidence of paralytic poliomyelitis
(Heymann et al. 1983). Moreover, as mentioned above, the prevalence of
lameness attributable to poliomyelitis is always an underestimation of the
true total morbidity and mortality associated with poliomyelitis.
Finally, the sensitivity of lameness survey varies significantly among
Table 5.3
Poliomyelitis cases in Greater Bombay: clinical outcome
Outcome
Number
Percentage
No recovery
Partial recovery
Complete recovery
Death
342
1 895
506
255
11
63
17
9
Total
2 898
100
Poliomyelitis
119
surveys and is often lower than that of AFP surveillance, ranging from 34
per cent in Bangladesh to 86 per cent in Madagascar (Snyder et al. 1981,
World Health Organization 1982, Bernier 1984). For example, a survey in
Ghana showed that poliomyelitis was the leading cause of lameness (63.3
per cent) and motor neuron disorders of the central nervous system, such
as cerebral palsy; and encephalitis was second (11.7 per cent) (Nicholas
et al. 1977). In most lameness surveys, the specificity of the survey has
not been fully evaluated. Box 5.1 lists the major limitations encountered
in lameness surveys, which may lead to biases in the estimation of annual
incidence of paralytic poliomyelitis.
International Classification of Diseases (ICD) codes
for poliomyelitis
ICD-9 codes for poliomyelitis
In the basic tabulation of the ICD-9, acute poliomyelitis (045) is classified in the category of poliomyelitis and other non-arthropod-borne viral
diseases of the central nervous system (045–049), and its four-digit codes
are defined based on the clinical and anatomical diagnosis of poliomyelitis. It should be noted that the code 045 excludes the late effects of acute
poliomyelitis, which are classified in one of the additional codes for late
effects of infectious and parasitic diseases (137–139). Encephalitis attributBox 5.1
Limitations of lameness surveys
Unreliable case findings because of:
 lack of sensitivity or specificity of case definition
 inter-observer variations
Restricted study population:
 school
 catchment area
 house-to-house survey
Sample size considerations
Potential biases:
 change of epidemiological patterns in the past
 extent of vaccine coverage
 change in population
Inadequate information concerning:
 age distribution
 sex differences
 baseline mortality rate
 remission rate
 case-fatality rate
 vaccine coverage and efficacy
Source: Heymann (1984)
120
Global Epidemiology of Infectious Diseases
able to poliovirus infection is also listed under encephalitis, myelitis and
encephalomyelitis (323.2*). The ICD-9 codes are:
045 Acute poliomyelitis (323.2*)
045.0 Acute poliomyelitis specified as bulbar (323.2*)
Infantile paralysis (acute)
specified as bulbar
Poliomyelitis (acute) (anterior)
Polioencephalitis (acute) (bulbar)
Polioencephalomyelitis (acute) (anterior) (bulbar)
045.1 Acute poliomyelitis with other paralysis (323.2*)
Paralysis:
– acute atrophic, spinal
– infantile, paralytic
Poliomyelitis (acute)
with paralysis except bulbar
– anterior
– epidemic
045.2 Acute nonparalytic poliomyelitis (323.2*)
Poliomyelitis (acute)
specified as nonparalytic
– anterior
– epidemic
045.9 Acute poliomyelitis, unspecified (323.2*)
–Infantile paralysis
Poliomyelitis (acute)
unspecified whether
– anterior
paralytic or nonparalytic
– epidemic
138 Late effects of acute poliomyelitis
The late effects include conditions specified as such, or as sequelae,
or as attributable to old or inactive poliomyelitis, without evidence
of active disease.
ICD-9 codes consistent with acute flaccid paralysis
Acute flaccid paralysis (AFP) surveillance has become a crucial strategy
since the late 1980s. The fact that AFP includes various types of diseases
sometimes reduces the specificity of AFP surveillance for poliomyelitis cases.
The possible ICD-9 codes for AFP other than poliomyelitis include:
094.1
323.0–323.9
335.2
342.0
344.0–344.9
355.0–355.9
357.0
General paresis
Encephalitis, myelitis and encephalomyelitis
Motor neurone disease
Flaccid hemiplegia
Arm or leg paralytic syndromes
Mononeuritis of lower limb
Acute infective polyneuritis (Guillain-Barré Syndrome)
Poliomyelitis
781.2
781.4
121
Gait disorders
Transient paralysis of limb
ICD-10 codes for poliomyelitis
In accordance with the rapid decline in global incidence of poliomyelitis
and the substantial progress toward its eradication, the emphasis of the
classification scheme in the ICD-10 for poliomyelitis (A80) shifted from
the clinical and anatomical diagnosis in ICD-9 to the source of poliovirus
infection. The late effects of poliomyelitis are now classified in the category
of sequelae of poliomyelitis (B91). The ICD-10 codes are as follows:
A80 Acute poliomyelitis
A80.0 Acute paralytic poliomyelitis, vaccine-associated
A80.1 Acute paralytic poliomyelitis, wild virus, imported
A80.2 Acute paralytic poliomyelitis, wild virus, indigenous
A80.3 Acute paralytic poliomyelitis, other and unspecified
A80.4 Acute nonparalytic poliomyelitis
A80.9 Acute poliomyelitis, unspecified
B91 Sequelae of poliomyelitis
Estimation of Disability-Adjusted Life Years
(DALYs)
To calculate the burden of disease attributable to poliomyelitis requires
detailed estimates of the age-specific and sex-specific epidemiology of
poliomyelitis (Murray & Lopez 1996). Valid community-based epidemiological studies that could inform these estimates do not exist for many
of the variables in many regions. For this reason, the burden of paralytic
poliomyelitis was calculated by age, sex, and region from various sources
of available data.
Incidence
Annual incidence rates of paralytic poliomyelitis were estimated from
information on prevalence of residual paralysis, since comparable incidence
data based on acute flaccid paralysis (AFP) surveillance were not available
before 1990, except from the Latin America and Caribbean (LAC) region.
A significant amount of information on the prevalence of residual paralysis
has been reported to WHO and is available for India (IND), Other Asia
and Islands (OAI), and sub-Saharan Africa (SSA) regions. To estimate
annual incidence of paralytic poliomyelitis in 1990 in these regions, the
most recent and representative house-to-house lameness surveys, or schoolbased surveys in some cases, were selected. China, where there have been
several epidemics in the southern provinces, has improved its reporting
system of the AFP cases; but AFP surveillance before 1990 was incomplete and the assessment of residual paralysis was not reported. In these
122
Global Epidemiology of Infectious Diseases
circumstances, the estimate of prevalence in China in 1990 was based on
regions that have similar epidemiological profiles, including neighbouring
OAI countries where poliomyelitis was endemic.
For other regions, especially those with lower incidence, such as Established Market Economies (EME), Former Socialist Economies of Europe
(FSE) and LAC regions, lameness surveys have not been conducted recently
because of the low incidence of residual paralysis and because AFP surveillance of sporadic cases is more important for the eradication process.
The estimation of incidence in EME and FSE was primarily based on the
number of poliomyelitis cases reported to the World Health Organization.
These reported cases included a sporadic outbreak in EME among the
unvaccinated population and a slight increase in paralytic poliomyelitis
cases in FSE because of social instability and vaccine shortage, although
the number of such cases was small. For the LAC region, data both from
lameness surveys in the 1980s and AFP surveillance around 1990 can be
used to estimate the annual incidence in 1990. Since our main focus is
the residual paralysis attributable to poliomyelitis, and there was a large
discrepancy between the relatively high incidence of paralytic poliomyelitis and the low numbers of reported cases, lameness surveys are a more
appropriate method to estimate the burden in 1990 than the reported
cases of AFP.
Since lameness surveys are most often aggregated for the children aged
5 to 9 years, age-specific- and sex-specific estimation of annual incidence
for developing regions should be made by incorporating information on
sex differences and age distributions. Some epidemiological studies have
reported the male-to-female ratio in prevalence of paralytic poliomyelitis.
In general, the ratio varies significantly from one study to another, even in
the same region. Since such variations could be attributable to potential
biases or chance alone, we apply a ratio of 1.4 to 1 of males to females,
which is an average ratio in the selected studies when excluding extreme
values (Jamison et al. 1993).
In developing regions, the majority of poliomyelitis cases occurred
among children under 5 years of age, following the classical endemic pattern poliomyelitis infection ( Nicholas et al. 1977, Nathanson & Martin
1979, LaForce et al. 1980, Thuriaux 1982, Heymann et al. 1983, Khajuria
et al. 1989, Onadeko & Familusi 1990, Mandke et al. 1991) from the
prevalence data on residual paralysis of the specific age-group studied.
The age distribution of incidence was estimated. First, using the formula
proposed by LaForce et al. (1980), the prevalence of lameness in the age
group 5–9 years, obtained from relatively large house-to-house surveys
in the 1980s, was converted to the incidence rates of the age group 0–4
in the study years. Since the age-patterns of incidence by age group were
not available in all regions, where necessary all the rates for a region were
estimated from other regions with similar epidemiological patterns by
adjusting for the vaccine coverage, as described below. Second, the agespecific incidence rates of paralytic poliomyelitis were assumed to follow
Poliomyelitis
123
a polynomial distribution function which fitted well the endemic pattern
of poliomyelitis in developing regions ( Paul et al. 1952, Nathanson &
Martin 1979, Anderson & May 1993). The fitted polynomial function for
developing regions has the following distribution fraction by age group:
97 per cent for age 0–4 years; 5.4 per cent for age 5–14 years; 1.6 per
cent for age 15–44 years; 0.8 per cent for age 45–59 years; and 0.06 per
cent for age 60 years and over. To estimate age-specific incidence for each
age group in developing regions, the estimated incidence of age 0–4 was
then multiplied by the factor derived from the ratio of the distribution
fraction of each age group to that of age 0–4: 1.0000 for age 0–4; 0.056
for 5–14; 0.0165 for 15–44; 0.0082 for 45–59; 0.0006 for 60 and over.
The estimated age-specific and sex-specific incidence rates in the reference years of lameness surveys in developing regions, which were used to
compute internally consistent epidemiological parameters, are described
in the following section.
The estimated age- and sex-specific incidence will thus pertain to a
specific time period with a particular level of coverage with the vaccine
(Table 5.4). To derive incidence in 1990 from data in the study years of
lameness surveys, adjustment for the change in vaccine coverage over the
previous decade was made using the exponential change in incidence rate
for each year. Suppose we want to estimate the incidence in year (tt + n) but
we only have the incidence of year (t) and vaccine coverage of both years.
Then the rate of change (r) can be calculated using the formula:
 100 − Ct + n 
r = ln 

 100 − Ct 
where Ct and Ct+n are the percentages of vaccine coverage in years t and
(tt + n), respectively. Then, using this rate, the incidence in year (tt + n) is
written in the form:
It + n = I ne rn
where It+n is the incidence in year (tt + n) and In is the incidence in year t.
Table 5.4
Change in OPV coverage (percentage) by region
Region
1981
1985
1989
1990
CHI
IND
OAI
SSA
FSE
EME
LAC
MEC
90
7
35
21
95
83
45
45
NA
35
39
30
88
88
70
60
95
82
73
58
94
88
82
87
98
93
86
69
93
85
87
88
Global
53
59
82
87
124
Global Epidemiology of Infectious Diseases
Finally, internal consistency between incidence, remission, case-fatality
rates, duration of paralysis and prevalence estimates was ascertained by
the DisMod software specifically developed for the Global Burden of
Disease Study (Murray & Lopez 1996). For incidence data on paralytic
poliomyelitis estimated from lameness surveys, we assume that remission
and case-fatality rates of those with residual paralysis are zero because
deaths and patients with complete recovery would not have been detected
in later clinical surveys.
Mortality
To estimate the burden of premature deaths from paralytic poliomyelitis,
both vital registration data and an epidemiological model based on casefatality rates were employed. For the regions where a vital registration
system is established (i.e. EME, FSE and LAC), the reported number of
deaths attributable due to poliomyelitis was used. For most developing
regions where vital data are not available or incomplete (China, India,
MEC, OAI, and SSA), mortality was estimated from incidence of paralytic
poliomyelitis, multiplied by the correction factor of 1.33 for total cases
(LaForce et al. 1980), and case-fatality rates. There are some variations in
the reported case-fatality rates of poliomyelitis among studies, but most
very from 5 per cent to 15 per cent ( Freyche and Nielsen 1955, Chodankar
& Dave 1979, LaForce et al. 1980, Moore et al. 1982, Hajar et al. 1983,
Mahadevan et al. 1989, Khare et al. 1991, Jamison et al. 1993).
In general, mortality data are influenced by the extent and completeness
of notification and registration of deaths. The differences in study years,
treatment facilities and results, and the time interval between onset of the
disease and death in fatal cases may explain these variations as well as
true differences in case-fatality rates. Since age-specific and sex-specific
mortality data were not available, and since, as reported in most studies,
most cases occur under 5 years of age in developing regions, for the main
analysis we used a case-fatality rate of 10 per cent as a plausible value
in developing regions and employed a constant case-fatality rate for all
age groups. Case-fatality rates may be affected by the age composition of
the study population because poliovirus infection in older people is more
likely to produce serious illness. Case-fatality rates in older patients may
be higher than those of young children in developed regions, but the bias
would be minimal in developing regions since the majority of cases and
deaths occur among children under 5 years of age, and samples of the
epidemiological studies on poliomyelitis in developing regions most often
include children aged under 15 years (Basu & Sokhey 1984, Chodankar
& Dave 1979, Hajar et al. 1983, Khare et al. 1991, LaForce et al. 1980,
Mahadevan et al. 1989, Maru et al. 1988).
Disability Weights
In the calculation of disability-adjusted life years (DALYs) of poliomyelitis,
the disability weights were derived from studies on the distribution of dis-
Poliomyelitis
125
abilities associated with poliomyelitis in developing regions that report on
the severity of disabilities within each age group ( Nicholas et al. 1977, Basu
1981, Basu & Sokhey 1984, Heymann 1984, Deivanayagam & Nedunchelian 1992). We assume that all patients affected by paralytic poliomyelitis
become disabled to some extent, since the estimated incidence was derived
from the lameness surveys of residual paralysis. Furthermore, the percentage distribution of the degree of disability, adjusted to be consistent with
the lameness surveys and their definition of disability, is assumed to be
constant among lame patients over each age group, even though serious
illness more likely results when infection occurs in older individuals.
Other Considerations in Calculating Disease Burden
To estimate incidence from prevalence of residual paralysis of poliomyelitis,
it is assumed that each region is in a stable, epidemic or poliomyelitis free
situation. Lameness surveys most often target children 5 to 9 years of age
in developing countries where poliomyelitis is endemic. As a consequence,
residual paralysis in children of 5 to 9 years of age reflects the paralytic
poliomyelitis cases that occurred from 1 to 10 years before the survey.
Therefore, if a sudden increase in incidence (poliomyelitis outbreaks)
occurred some years prior to the lameness survey, the actual incidence
would be underestimated. In contrast, if a reduction of poliomyelitis
incidence had been achieved through effective interventions, such as vaccination and improvement of sanitation, the actual incidence would be
overestimated.
Although changes in vaccine coverage and subsequent changes in incidence have been taken into account in our estimation, some of the limitations of the original surveys should be noted. Since our estimate of the
incidence of residual paralysis is based on lameness surveys for developing
regions, sporadic cases other than indigenous poliomyelitis cases including
imported and vaccine-associated cases are not captured in our calculation
of the burden of poliomyelitis in those regions.
Disability weights for paralytic poliomyelitis were derived from the
studies in developing regions. It is suggested that disability attributable to
poliomyelitis in developed regions is more severe, reflecting the increase
in mean age of infection (Nathanson & Martin 1979). For example, in
the review of the poliomyelitis cases in the United States, the proportion
of severe paralysis was high: 11 per cent of patients had minor paralysis
whereas 79 per cent had significant or severe residual paralysis that required
mechanical aids (Moore et al. 1982). Although the application of the
same disability weights to all regions would underestimate the burden in
developed regions, the bias would be minimal since the number of reported
incident cases in developed regions (EME and FSE) was quite small.
Neither late effects of paralytic poliomyelitis (post-paralytic poliomyelitis syndrome) nor partial remission resulting from an effective rehabilitation programme that might alter the sequelae of disease are taken into
126
Global Epidemiology of Infectious Diseases
account in our calculation of the disease burden. It is assumed that the
severity of residual paralysis remains constant over the rest of life.
Burden of Poliomyelitis in 1990
Tables 5.5a and 5.5b represent the detailed epidemiological estimates
(incidence, prevalence, number of deaths, years of life lost, years lived
with disability, and disability adjusted life years) for poliomyelitis by age,
sex, and region in 1990.
The distribution of estimated incidence of poliomyelitis by region is
given in Figure 5.3. Among the estimated global total of 212 000 paralytic poliomyelitis cases including complete recovery and fatal cases, India
accounted for 47 000 cases, or 39 per cent of the global total in 1990. It
was followed by SSA with 38 000 cases (18 per cent), MEC with 30 000
cases (14 per cent), OAI with 26 000 cases (12 per cent), China with 24 000
cases (11 per cent), and LAC with 12 000 cases (6 per cent). The majority
of reported incidence in FSE were the outbreak cases in several southern
former Soviet republics. The two poliomyelitis-endemic regions—India
and SSA—accounted for more than half of the global incidence of poliomyelitis in 1990.
The estimated number of deaths attributable to poliomyelitis in 1990
was approximately 27 000, with a range of 20 000 to 35 000 depending
on the case-fatality rate used in the analysis. The burden of disease, measured by years of life lost (YLLs), years lived with disability (YLDs) and
disability-adjusted life years (DALYs), shows a similar pattern. The global
burden of poliomyelitis was 3 360 000 DALYs, which amounted to 0.24
per cent of the global burden of disease from all causes in 1990. The proportion of burden from poliomyelitis was highest in India (0.5 per cent),
followed by MEC, OAI and SSA. On average, YLDs accounted for 75 per
Figure 5.3
Annual incidence of paralytic poliomyelitis, 1990
250 000
Annual Incidence
200 000
150 000
100 000
50 000
0
EME
FSE
LAC
MEC
SSA
OAI
WDR Region
IND
CHI
Total
Number
(’000s)
Rate per
100 000
Incidence
0
0
0
0
0
0
0.0
0.0
0.0
0.0
0.0
0.0
0–4
5–14
15–44
45–59
60+
All Ages
India (IND)
0–4
5–14
15–44
45–59
60+
All Ages
46
0
1
0
0
48
0
0
0
0
0
0
77.50
0.2
0.7
0.3
0.0
11.00
0.0
0.0
0.0
0.0
0.0
0.0
Formerly Socialist Economies (FSE)
0–4
5–14
15–44
45–59
60+
All Ages
141
690
1 500
362
227
2 920
0
0
0
0
0
0
0
0
0
0
0
0
Number
(’000s)
235.8
678.1
748.0
760.0
762.6
664.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
Rate per
100 000
Prevalence
2.5
9.7
29.8
52.2
69.7
3.5
—
—
—
—
—
—
—
—
—
—
—
—
Avg. Age at
Onset (years)
58.7
56.4
38.7
20.0
9.8
58.0
—
—
—
—
—
—
—
—
—
—
—
—
Average
Duration
(years)
Epidemiological estimates for poliomyelitis, 1990, males
Established Market Economies (EME)
Age group
(years)
Table 5.5a
6
0
0
0
0
6
0
0
0
0
0
0
0
0
0
0
0
0
10.40
0.0
0.0
0.0
0.0
1.4
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.2
0.0
Rate per
100 000
Deaths
Number
(’000s)
208
1
1
0
0
210
0
0
0
0
0
0
0
0
0
0
1
2
531
3
14
1
0
549
0
0
0
0
0
0
0
0
0
0
0
0
YLDs
(’000s)
YLLs
(’000s)
DALYs
continued
739
4
15
1
0
758
0
0
0
0
0
0
0
0
1
0
1
2
(’000s)
Poliomyelitis
127
13
0
1
0
0
14
Number
(’000s)
14
0
1
0
0
15
0–4
5–14
15–44
45–59
60+
All Ages
21
0
1
0
0
22
Sub–Saharan Africa (SSA)
0–4
5–14
15–44
45–59
60+
All Ages
45.10
0.2
0.5
0.3
0.0
8.8
31.20
0.2
0.5
0.3
0.0
4.3
20.80
0.1
0.3
0.2
0.0
2.4
Rate per
100 000
Incidence
58
213
339
68
36
714
37
180
376
83
50
725
32
106
355
89
60
642
Number
(’000s)
122.1
303.2
326.0
336.0
339.0
283.0
83.0
214.0
234.0
243.1
245.0
211.4
53.1
109.3
115.9
122.5
123.0
109.7
Rate per
100 000
Prevalence
2.4
9.8
29.5
52.2
69.5
3.2
2.5
10.0
29.8
52.3
70.1
4.4
2.5
10.0
29.9
52.3
69.6
5.1
Avg. Age at
Onset (years)
50.6
50.9
36.1
19.7
9.5
50.2
60.8
57.8
40.1
21.2
10.1
59.4
64.5
59.0
40.5
20.7
9.6
62.3
Average
Duration
(years)
Epidemiological estimates for poliomyelitis, 1990, males (continued)
Other Asia and Islands (OAI)
0–4
5–14
15–44
45–59
60+
All Ages
China (CHI)
Age group
(years)
Table 5.5a
3
0
0
0
0
3
2
0
0
0
0
2
1
0
0
0
0
1
5.6
0.0
0.0
0.0
0.0
1.1
4.2
0.0
0.0
0.0
0.0
0.6
2.3
0.0
0.0
0.0
0.0
0.2
Rate per
100 000
Deaths
Number
(’000s)
90
1
2
0
0
93
61
1
3
0
0
65
47
0
1
0
0
49
232
2
5
0
0
240
158
2
9
0
0
169
148
1
11
1
0
160
YLDs
(’000s)
YLLs
(’000s)
DALYs
323
3
7
0
0
335
219
3
11
1
0
234
195
2
12
1
0
209
(’000s)
128
Global Epidemiology of Infectious Diseases
7
0
0
0
0
8
25.80
0.1
0.2
0.1
0.0
3.5
0–4
5–14
15–44
45–59
60+
All Ages
World
0–4
5–14
15–44
45–59
60+
All Ages
118
1
5
0
0
124
17
0
1
0
0
18
36.70
0.1
0.4
0.2
0.0
4.7
40.30
0.2
0.5
0.2
0.0
6.7
Middle Eastern Crescent (MEC)
0–4
5–14
15–44
45–59
60+
All Ages
Latin America and the Carribean (LAC)
333
1 448
3 076
707
439
6 002
45
172
321
65
40
643
20
87
186
41
26
360
103.0
262.7
246.1
226.3
200.6
226.2
109.3
263.2
281.8
291.0
293.0
250.8
69.6
166.9
178.4
182.0
182.7
162.4
2.5
9.8
29.8
52.3
69.8
3.8
2.5
9.8
29.8
52.3
70.1
3.5
2.5
9.8
29.8
52.3
70.9
3.5
58.9
56.6
39.5
20.7
9.9
58.0
61.6
58.8
40.8
21.5
10.1
60.8
64.0
59.5
41.8
23.0
10.9
63.1
150
0
0
0
0
150
2
0
0
0
0
2
1
0
0
0
0
1
4.7
0.0
0.0
0.0
0.1
0.6
5.2
0.0
0.0
0.0
0.0
0.8
3.1
0.0
0.0
0.0
0.0
0.4
508
3
9
1
1
521
72
0
0
0
0
73
30
0
0
0
0
30
1 348
11
46
2
0
1 408
192
1
6
0
0
200
87
1
2
0
0
90
1 857
14
55
3
1
1 929
264
2
6
0
0
273
117
1
3
0
0
120
Poliomyelitis
129
Number
(’000s)
Rate per
100 000
Incidence
0
0
0
0
0
0
0.0
0.0
0.0
0.0
0.0
0.0
0–4
5–14
15–44
45–59
60+
All Ages
India (IND)
0–4
5–14
15–44
45–59
60+
All Ages
340
0
1
0
0
350
0
0
0
0
0
0
59.80
0.2
0.5
0.3
0.0
8.6
0.0
0.0
0.0
0.0
0.0
0.0
Formerly Socialist Economies (FSE)
0–4
5–14
15–44
45–59
60+
All Ages
103
498
1 056
270
170
2096
0
0
0
0
0
0
0
0
0
0
0
0
Number
(’000s)
181.0
525.0
576.3
586.0
587.7
511.1
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
Rate per
100 000
Prevalence
2.5
9.7
29.8
52.3
70.1
3.5
—
—
—
—
—
—
—
—
—
—
—
—
Avg. Age
at Onset
(years)
59.6
57.8
40.7
21.5
10.1
58.9
—
—
—
—
—
—
—
—
—
—
—
—
Average
Duration
(years)
Epidemiological estimates for poliomyelitis, 1990, females
Established Market Economies (EME)
Age group
(years)
Table 5.5b
5
0
0
0
0
5
0
0
0
0
0
0
0
0
0
0
0
0
Number
(’000s)
8.3
0.0
0.0
0.0
0.0
1.2
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.1
0.0
Rate per
100 000
Deaths
160
1
0
0
0
161
0
0
0
0
0
0
0
0
0
0
0
0
Number
(’000s)
YLLs
389
2
10
1
0
402
0
0
0
0
0
0
0
0
0
0
0
0
Number
(’000s)
YLDs
549
3
11
1
0
564
0
0
0
0
0
0
0
0
0
0
1
1
Number
(’000s)
DALYs
130
Global Epidemiology of Infectious Diseases
9
0
1
0
0
10
100
0
1
0
0
110
160
0
0
0
0
170
34.70
0.1
0.4
0.2
0.0
6.5
24.00
0.1
0.4
0.2
0.0
3.2
16.00
0.1
0.3
0.1
0.0
1.9
0–4
5–14
15–44
45–59
60+
All Ages
5
0
0
0
0
6
19.90
0.1
0.2
0.1
0.0
2.6
Latin America and the Carribean (LAC)
0–4
5–14
15–44
45–59
60+
All Ages
Sub–Saharan Africa (SSA)
0–4
5–14
15–44
45–59
60+
All Ages
Other Asia and Islands (OAI)
0–4
5–14
15–44
45–59
60+
All Ages
China (CHI)
18
119
280
63
46
526
44
163
267
57
33
565
27
132
287
66
43
555
24
76
253
61
49
463
65.0
234.5
269.0
269.7
271.0
236.2
93.6
234.0
251.3
259.0
261.0
219.0
64.3
164.6
179.8
187.0
189.0
163.4
41.4
84.1
89.1
94.0
94.8
84.4
2.5
9.8
29.9
52.4
71.6
3.6
2.4
9.8
29.5
52.3
70.0
3.3
2.5
10.0
29.8
52.4
70.8
4.5
2.5
10.0
29.9
52.4
70.6
5.0
68.2
63.4
45.0
25.3
11.6
67.3
53.8
53.5
38.2
21.1
10.0
53.3
64.9
61.4
43.3
23.6
10.8
63.4
67.5
62.3
43.6
23.3
10.6
65.4
1
0
0
0
0
1
2
0
0
0
0
2
1
0
0
0
0
1
1
0
0
0
0
1
2.2
0.0
0.0
0.0
0.0
0.3
4.1
0.0
0.1
0.0
0.0
0.8
3.0
0.0
0.0
0.0
0.0
0.4
1.8
0.0
0.0
0.0
0.0
0.2
20
0
0
0
0
21
65
1
2
0
0
68
43
1
2
0
0
46
35
0
0
0
0
36
65
0
2
0
0
68
181
1
4
0
0
187
119
1
7
0
0
127
110
1
8
0
0
120
continued
86
0
2
0
0
89
247
2
6
0
0
255
162
2
9
1
0
173
146
1
9
0
0
156
Poliomyelitis
131
Number
(’000s)
Rate per
100 000
Incidence
0–4
5–14
15–44
45–59
60+
All Ages
World
0–4
5–14
15–44
45–59
60+
All Ages
870
1
3
0
0
920
120
0
0
0
0
130
28.30
0.1
0.3
0.1
0.0
3.5
31.00
0.1
0.4
0.2
0.0
5.2
249
1 114
2 377
566
376
4 682
33
125
233
50
35
476
Number
(’000s)
80.0
212.0
198.3
182.0
139.7
179.1
84.0
201.6
217.3
224.3
225.0
193.0
Rate per
100 000
Prevalence
2.5
9.8
29.8
52.4
70.5
3.8
2.5
9.8
29.9
52.4
70.8
3.5
Avg. Age
at Onset
(years)
61.2
59.2
42.5
22.7
10.5
60.3
64.4
61.7
43.6
23.7
10.8
63.6
Average
Duration
(years)
11
0
0
0
0
12
2
0
0
0
0
2
3.6
0.0
0.0
0.0
0.0
0.4
4.0
0.0
0.0
0.0
0.0
0.7
Rate per
100 000
Deaths
Number
(’000s)
Epidemiological estimates for poliomyelitis, 1990, females (continued)
Middle Eastern Crescent (MEC)
Age group
(years)
Table 5.5b
378
2
7
1
0
388
54
0
0
0
0
54
Number
(’000s)
YLLs
1 010
8
35
2
0
1 055
145
1
4
0
0
150
Number
(’000s)
YLDs
1 388
10
41
3
1
1 442
198
1
5
0
0
205
Number
(’000s)
DALYs
132
Global Epidemiology of Infectious Diseases
Poliomyelitis
133
cent of total disease burden from poliomyelitis. As shown in Figures 5.4
and 5.5, India and SSA accounted for approximately 60 per cent of total
deaths and disability-adjusted life years from poliomyelitis in 1990.
Burden and Intervention
The global incidence of paralytic poliomyelitis was dramatically reduced
with the introduction of the Salk inactivated poliomyelitis vaccine (IPV)
in 1955 and the Sabin live-attenuated oral vaccine (OPV) in 1961. Mass
campaigns in addition to routine immunization with OPV in the 1960s
Figure 5.4
Annual number of deaths due to poliomyelitis, 1990
Number of Deaths
15 000
12 000
9 000
6 000
3 000
0
EME
FSE
LAC
MEC
SSA
OAI
IND
CHI
Total
WDR Region
Figure 5.5
DALYs lost due to paralytic poliomyelitis, 1990
5 000 000
DALYs Lost
4 000 000
3 000 000
2 000 000
1 000 000
0
EME
FSE
LAC
MEC
SSA
OAI
WDR Region
IND
CHI Global
134
Global Epidemiology of Infectious Diseases
virtually eliminated paralytic poliomyelitis from developed regions. Both
vaccines have advantages and limitations for developing countries, as
summarized in Box 5.2 (Melnick 1978,1990). Because of its low cost,
ease of administration, superiority in inducing secretory immunity in the
Box 5.2
Advantages and disadvantages of poliomyelitis vaccines
Advantages
Disadvantages
Inactivated Poliomyelitis Vaccine (IPV)
 Confers humoral immunity in vaccinees
if sufficient numbers of doses of potent
vaccine are given.
 Can be incorporated into regular immu-
nization programme, such as diphtheriapertussis-tetanus
 Absence of living virus excludes po-
tential for mutation and reversion to
virulence.
 Absence of living virus permits its use in
immunodeficient or immunosuppressed
individuals and their households.
 Has greatly reduced the spread of po-
lioviruses in some regions where it has
been properly used.
 May prove useful in certain tropical
areas where live virus vaccine has failed
to take in some young infants.
 Early studies indicated a disappointing
record in percentage of vaccines developing antibodies after three doses (but
more immunopotent antigens are now
produced).
 Generally, repeated boosters have been
required to maintain detectable antibody
levels.
 Does not induce appreciable local in-
testinal immunity in the vaccinee; hence
vaccines do not serve as a block to
transmission of wild polioviruses by the
faecal–oral route
 More expensive than live virus vaccine.
 Use of virulent polioviruses as vaccine
seed creates potential for tragedy. This
problem can, however, be overcome by
use of attenuated strains for production.
Oral Poliomyelitis Vaccine (OPV )
 Like the natural infection, confers both
humoral and intestinal immunity.
 Vaccine virus may mutate, and in very
Induces antibody very quickly in a large
proportion of vaccinees.
rare instances has reverted toward
neurovirulence sufficient to cause paralytic poliomyelitis in recipients and their
contacts.
 Oral administration is more acceptable
 Vaccine progeny virus spreads to house-
 Immunity induced appears to be lifelong.
to vaccinees than injection, and easier to
accomplish.
 Administration does not require use of
highly trained personnel.
 When properly stabilized, can retain
potency under difficult field conditions
with little refrigeration and no freezing.
 Under epidemic conditions, not only
induces antibody quickly, but also rapidly
infects the alimentary tract, blocking
epidemic spread of virus.
 Is relatively inexpensive, both to produce
and to administer, and does not require
continuing booster doses.
Source: Melnick (1978, 1988).
hold contacts.
 Vaccine virus also spreads to people in
community.
 In certain tropical countries, induction of
antibodies in a satisfactorily high proportion of vaccinees has been difficult to
accomplish.
 Contraindicated in those with immuno-
deficiency diseases, and in their household associates, as well as in people
undergoing immunosuppresive therapy
and their households.
Poliomyelitis
135
intestines, and ability to infect household and community contacts, OPV
has been used by WHO for the purpose of eradicating wild poliovirus
(Wright et al. 1991, Hull et al. 1994, 1997).
Initially, the WHO Expanded Programme on Immunization (EPI)
promoted three doses of OPV for all children in the first year of life as
the routine immunization programme. Since the foundation of the EPI
programme, WHO, UNICEF, and other international donors have contributed to establishing an effective routine immunization system. Vaccine
coverage for poliomyelitis with OPV has increased and reported incidence
has substantially decreased (Figures 5.1 and 5.2). Although the primary
strategy of EPI was to raise the vaccine coverage of OPV and sustain the
higher level, it has been suggested that poliomyelitis eradication may not
be achieved through a routine immunization programme alone (Sutter
et al. 1991) and three doses of OPV have proven inadequate in some
endemic countries (Montefiore et al. 1963, John 1976, Bottiger et al. 1981,
Chopra, Kundu & Chowdhury 1989, Patriarca 1993). Some studies have
shown that the seroconversion rate and the efficacy are lower in the tropics (Patriarca, Wright & John 1991, Sutter et al. 1991) and an additional
fourth dose at birth (or five doses) has been recommended in these areas (
John 1976, Dong et al. 1986, Chopra, Kundu & Chowdhury 1989, Hull
& Ward 1992). For example, despite the relatively high vaccine coverage
rates, several outbreaks among children fully immunized with three doses
of OPV have been reported in India, China, Other Asia and Islands (OAI),
Middle East Crescent (MEC) and Former Socialist Economies of Europe
(FSE) regions (Expanded Programme on Immunization 1993, Lasch et al.
1984, Samuel, Sutter et al. 1991, Hull & Ward 1992, Balraj & John1993).
Extremely high routine immunization coverage has failed to prevent epidemics in China, which reported epidemics of poliomyelitis in 1989 and
1990 despite the 98 per cent coverage with three doses of OPV achieved in
1990 (Expanded Programme on Immunization 1993). In some developing
regions where OPV alone would not decrease incidence of poliomyelitis
further, combined OPV/IPV regimens have been used and proven successful
(Magnus & Peterson 1984, Melnick 1988, Tulchinsky et al. 1989). The
vaccines do not interfere with each other and each compensates for some
of the other’s limitations.
It has been suggested that failure to vaccinate is much more critical than
vaccine failure for an outbreak to take place (Anderson & May 1985,
Kim-Farley et al. 1984, Patriarca, Sutter & Oostovogel 1997). In fact, in
China, most of the paralytic poliomyelitis cases occurred in unimmunized
or incompletely immunized children as shown in Figure 5.6 (Expanded
Programme on Immunization 1993). Routine vaccination may not reach
unregistered populations, certain religious groups, ethnic minorities, illegal
immigrants or migratory populations. Other factors, such as false contraindication, poor access, and attitude and knowledge of health personnel,
may lead to missed opportunities (Pan American Health Organization
1994). Although a role for IPV deserves further exploration, especially in
136
Global Epidemiology of Infectious Diseases
Figure 5.6
Immunization status of poliomyelitis cases in Shandong
Province, 1990
Number of Cases
150
120
90
60
30
0
Not
immunized
(0)
Partially
immunized
(1–2)
Fully
immunized
(3+)
Unknown
Immunization Status
developed regions where transmission has been interrupted, improving
vaccine delivery rather than changing immunization regimen should be the
priority for poliomyelitis eradication since many cases are attributable to
missed opportunities (John 1976, Wright et al. 1991, Hull et al. 1994).
WHO currently recommends implementation of mass campaigns in
addition to maintaining a high coverage rate of routine vaccination with
four doses of OPV (Hull et al. 1994, 1997). In Brazil, a policy of holding
a national immunization day, when all children under 5 years of age are
vaccinated regardless of prior immunization status, has led to the cessation of poliovirus transmission (Expanded Programme on Immunization
1993). This policy was implemented to compensate for the failures of
routine vaccination, such as thermal inactivation and lower seroconversion
rate. The success of the approach has made it the model for poliomyelitis
eradication in the Latin America and Caribbean (LAC) Region. WHO has
endorsed this strategy and recommends that all children under 5 years of
age receive an additional two doses of OPV during the national immunization days (NIDs), preferably during the low season for poliovirus
transmission (Wright et al. 1991, Hull & Ward 1992, Centers for Disease
Control and Prevention 1993, Ward et al. 1993). There was a substantial increase in the number of countries with endemic poliomyelitis that
conducted national immunization days from 16 countries in 1988 to 62
countries in 1995, resulting in tremendous successes in LAC and China,
and some parts of OAI, MEC and sub-Saharan Africa (SSA) regions (Hull
et al. 1994, Birmingham et al. 1997a, Cochi et al. 1997).
What would be the current burden attributable to paralytic poliomyelitis
Poliomyelitis
137
if immunization coverage were zero? We have estimated the current burden of poliomyelitis in the absence of immunization for polio. Before the
introduction of OPV, in the early 1950s, poliomyelitis was highly endemic
all over the world. Figures for the incidence of poliomyelitis at that time
were available only in EME (Nathanson & Martin 1979) and some parts
of today’s FSE (Freyche & Nielsen 1955). Lameness survey data before dissemination of OPV, before 1980, are available for some developing regions,
including India, LAC, MEC, SSA, and OAI, with some studies reporting
vaccine coverage (Foster et al. 1984, Khajuria et al. 1989, Nicholas et al.
1997). Where data for the 1950s were not available, indirect methods were
used, based on the historical trend of epidemiological and demographic
transition, and including lameness surveys and vaccine coverage. Because
of the epidemiological shift of disease occurrence in developed regions
(EME and FSE), the following age-distribution proportions of poliomyelitis
incidence were used for developed regions: 47 per cent for 0–4, 24 per
cent for 5–14, 28 per cent for 15–44, 0.06 per cent for 45–59 and 0.02
per cent for 60 and over ( Paul 1955, Moore et al. 1982). For developing
regions, where the majority of cases occur under 5 years of age, the agedistribution proportions for each age group were assumed to follow the
endemic pattern: 97 per cent for age 0–4; 5.4 per cent for age 5–14; 1.6
per cent for age 15–44; 0.8 per cent for age 45–59; and 0.06 per cent for
age 60 and over. Figure 5.7 illustrates that over 800 000 cases would have
occurred annually in the absence of current vaccination programmes, and
over half a million cases could be prevented with current immunization
coverage (Figure 5.8). It should be noted, however, that an improved standard of living, including better sanitation and hygiene, might have reduced
the incidence of poliomyelitis during this period. Nonetheless, the result
illustrates the significant impact of immunization programmes, especially
in developing regions where these programmes, along with case manageFigure 5.7
Reduction of polio incidence by region, 1990
900 000
1990 (no vaccine)
1990 (vaccine available)
Annual Incidence
800 000
700 000
600 000
500 000
400 000
300 000
200 000
100 000
0
EME
FSE
LAC
MEC
SSA
OAI
WDR Region
IND CHN Global
138
Global Epidemiology of Infectious Diseases
Figure 5.8
Anticipated reduction of polio incidence with full vaccine
coverage
250 000
1990 (actual coverage)
1990 (100% coverage)
Annual Incidence
200 000
150 000
100 000
50 000
0
EME
FSE
LAC
MEC
SSA
OAI
IND CHN Global
WDR Region
ment and surveillance systems, have been implemented and improved
both through the commitment of governments and with the financial and
technical support of international community.
The lessons learned from smallpox eradication suggest that poliomyelitis eradication depends on effective disease surveillance to guide vaccine
strategy, verify outcome and certify success, particularly in the final stage
toward eradication (Pan American Health Organization 1993). Based on
the experiences in the LAC Region, the focus of EPI shifted in the 1990s
from monitoring vaccine coverage to assessing disease incidence through
surveillance (Birmingham et al. 1997b). WHO has recommended the
strengthening of the following elements in the poliomyelitis eradication
programme in addition to the routine OPV vaccination and mass campaigns (Hull et al. 1994, 1997):
 improve the acute flaccid paralysis (AFP) surveillance system to the
point where each country can detect all cases of paralysis which might
be poliomyelitis;
 build a global network of laboratories with the technical competence to
reliably identify poliovirus from specimens collected from these cases;
and
 conduct supplemental immunization activities including outbreak
response immunization and mopping-up immunization.
As discussed earlier in this chapter, AFP surveillance was widely used
during the 1990s as a critical component of poliomyelitis eradication
strategies (Box 5.3) (de Quadros et al. 1997, Hull et al. 1997). Since there
are no absolute criteria that will permit poliomyelitis to be identified on
a clinical basis, WHO recommends laboratory-based AFP surveillance
Poliomyelitis
Box 5.3
139
Key interventions for poliomyelitis eradication
Interventions
Indicators
High routine immunization coverage
At least 90 per cent of infants should be
vaccinated against poliomyelitis by one year
of age through routine four doses of OPV
immunization.
National immunization days
All children under 5 years of age should be
immunized regardless of prior immunization
status during two rounds of mass campaign.
Laboratory-based surveillance of acute
flaccid paralysis (AFP) surveillance
All AFP cases in children under 15 years of
age should be reported immediately; clinical
and epidemiological investigation should begin
within 48 hours; two stool samples should be
collected; stool from contacts of cases should
also be tested.
Mopping-up immunization
All children under 5 years of age should be
immunized, regardless of prior immunization
status, in the targeted district.
Source: (Hull et al. 1994, 1997).
for the purpose of poliomyelitis eradication. The performance of AFP
surveillance in each country is evaluated by the following five indicators:
at least 80 per cent of representative health units within the reporting
network should report regularly (weekly or monthly); at least one case of
non-poliomyelitis AFP should be detected annually per 100 000 population under 15 years of age; at least 80 per cent of all AFP cases reported
should be investigated within 48 hours and have two stool specimens taken
for virus culture within two weeks of onset of acute paralysis; at least 80
per cent of all AFP cases should have a follow-up examination of residual
paralysis at 60 days after the onset of paralysis; and all virological studies
on AFP cases must be performed in a laboratory of certified competence
that is part of the WHO’s global poliomyelitis laboratory network (Hull
& Dowdle 1997, World Health Organization 1998).
Many endemic countries, including China, India, and countries in the
SSA, MEC, and OAI regions, started national immunization days and AFP
surveillance in the 1990s. It is suggested, however, that the efficiency and
quality of surveillance vary considerably within and between countries
(Centers for Disease Control and Prevention 1994). For example, the
assessment of performance of AFP surveillance in SSA, MEC, and FSE in
the early 1990s showed great variations between countries and evidence of
underreporting of AFP cases in these regions (Birmingham et al. 1997b).
For example, the non-poliomyelitis AFP rate, which is an indicator of
AFP surveillance sensitivity, varies significantly among regions, from less
than 0.1 in SSA to 1.2 in LAC, CHN and a part of OAI (Tangermann et
al. 1997). Developing a surveillance system is a long-term commitment
that must be maintained until global eradication is certified (Eichner &
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Global Epidemiology of Infectious Diseases
Dietz 1996), and AFP surveillance poses special difficulties in countries
with inadequate health infrastructure (Hull & Dowdle 1997). In countries
where poliovirus circulation has been limited to focal areas, and surveillance is adequate, the next step towards eradicating the transmission of
wild poliovirus completely and permanently from the region is a moppingup campaign (Pan American Health Organization 1993). A mopping-up
campaign comprises a response to an additional outbreak by immunizing
children living in a community where a case of suspected poliomyelitis has
occurred and carrying out a localized immunization campaign targeting
high-risk population.
As shown in World development report 1993: investing in health (World
Bank 1993), immunization is one of the most cost-effective health interventions. In a study of poliomyelitis immunization in Brazil, intensification
strategies such as mass campaigns had lower average costs than routine
immunization programmes (Creese 1984). Although Shepard (1989) has
suggested that most studies do not report the incremental cost-effectiveness of additional expenditures on routine vaccination, mass campaign
programmes are likely to have a greater impact per dollar spent than are
routine vaccination since they have lower incremental costs for additional
vaccines and their efficacy has been proven to be greater (Richardson et
al. 1995, Reichler et al. 1997). Moreover, such a comprehensive effort
could be extended to combine other interventions, such as vitamin A
supplementation, that are considered to be cost-effective.
A particular feature of the economic analysis of the health interventions
for poliomyelitis is the assessment of benefits of eradication. If an eradication programme is feasible and its benefit is discounted at low rates, it
yields almost infinite benefits, from a cost-effectiveness viewpoint, and any
amount of finite costs can be undertaken to eradicate a disease (Acharya
& Murray 1998). Such a calculation nevertheless depends on the timespan
of the global poliomyelitis eradication processes in different regions. In
countries where immunization and surveillance are inadequate, extending
the implementation of additional strategies for poliomyelitis eradication
would be quite costly in the short run and the current expenditure for
poliomyelitis eradication would be cost-effective only when benefits in the
distant future were taken into account.
In contrast, in countries where poliovirus transmission has been interrupted and active surveillance has been established, immediate eradication rather than delayed eradication proves more cost-effective (Musgrove
1988, Bart, Foulds & Patriarca 1996). Furthermore, since the eradication
of poliomyelitis in a region also depends on poliovirus transmission in
other regions, it is more cost-effective for such a region to have others engaged in intensive strategies to prevent the reintroduction of wild
poliovirus (Hall et al. 1998). Therefore, global poliomyelitis eradication
programmes should be cost-effective from a global viewpoint, even though
they may not be cost-effective for a single country in the short run. Since
poliomyelitis eradication strategies would impose a heavy financial burden
Poliomyelitis
141
on the health care resources of many endemic countries, the international
community has a significant role to play in providing resources to sustain
global poliomyelitis eradication efforts ( Hull et al. 1997, Satcher 1999,
Aylward et al. 2000).
Conclusions
Reported cases of poliomyelitis have been dramatically decreased since
the global poliomyelitis eradication initiative in 1988. We expect that
progress will continue until the eradication of poliomyelitis early in the
21st century. As our estimates for 1990 have shown, however, paralytic
poliomyelitis still causes more burden than would be expected from the
reported incidence, especially in India and sub-Saharan Africa. The relatively low efficacy of the surveillance and reporting systems in developing
regions, in which poliomyelitis is still endemic, may underestimate the true
magnitude of paralytic poliomyelitis in past decades.
Although rising coverage of routine oral poliomyelitis vaccination (OPV)
has contributed to the significant decline in the incidence of paralytic
poliomyelitis, it is suggested that polio eradication may not be achieved
through the current vaccination programme alone. Implementation and
establishment of mass campaigns and laboratory-based surveillance are
critical to the final stage of the eradication. The benefits of eradicating
poliomyelitis include: reduction in the burden of life-long disability and
premature death; savings in costs of prevention, treatment and rehabilitation, and other non-medical costs; and gains in productivity. Such benefits
could exceed the additional costs for expanding the key strategies, not only
for countries free from poliovirus in the short run, but even for endemic
poor countries in the long run. Under the WHO initiative, national and
international financial and technical support for the endemic countries
is essential to sustain the vaccine supply and to improve the surveillance
system.
Update: Epidemiological trends in the 1990s
Since the adoption of the global poliomyelitis eradication initiative in 1988,
WHO has been leading a global partnership of international organizations and governments to implement strategies to eradicate poliomyelitis
for poliomyelitis eradication in all remaining endemic countries. This
chapter estimates the global burden of paralytic poliomyelitis in 1990;
but there has subsequently been substantial progress towards eradication.
The number of known or suspected poliomyelitis-endemic countries has
decreased from over 120 to less than 50 and is expected to continue to
decline (World Health Organization 1999). The reported incidence of
paralytic poliomyelitis declined from 35 251 in 1988 to 6349 in 1998,
more than 85 per cent reduction over the decade. Nevertheless, the estimated incidence was approximately 80 000, assuming that less than 10 per
142
Global Epidemiology of Infectious Diseases
cent of cases were reported (Hull et al. 1997). Tremendous achievements
were observed in the Americas, where eradication of wild poliovirus was
announced in 1994 (Robbins & de Quadros 1997). The Western Pacific
Region, which includes the world’s most populous country, China, was
recently certified free of indigenous wild poliovirus transmission (World
Health Organization 2000).
Success in these regions has proved the effectiveness of the strategies
recommended by WHO, and the number of countries implementing the
strategies has increased rapidly since the mid-1990s. Global routine OPV
coverage peaked in 1990 at 85 per cent and stabilized at around 80 per
cent thereafter (Figure 5.1). The number of countries conducting national
immunization days (NIDs), often coupled with other primary health care
interventions, has increased to over 100 including many endemic countries
in Africa and South-East Asia (Aylward et al. 2000). AFP surveillance has
been implemented in many countries in which poliomyelitis is or recently
was endemic (Tangermann et al. 1997).
Despite these efforts, poliomyelitis is still endemic in some 50 countries, including India, sub-Saharan Africa, and parts of the MEC and
OAI Regions (Satcher 1999). In order to achieve the goal of eradication,
the rapid development of complete and timely AFP surveillance and the
continuation of national immunization days are a priority (Hull et al.
1998). Compared to implementation of national immunization days, the
establishment of AFP surveillance has been delayed. In 1998, the global
average rate for non-poliomyelitis AFP exceeded the targeted level at 1.15
per 100 000 population but the rates in endemic areas were still much
lower. Eradication efforts should now focus on the remaining poliomyelitisendemic countries, especially those in sub-Saharan Africa and the Indian
Subcontinent that are affected by war or are politically isolated. From the
remaining reservoirs in those countries wild poliovirus can continue to
spread into bordering or even distant poliomyelitis-free regions (Centers
for Disease Control and Prevention 1995, Tangermann et al. 1997, 2000,
Wise 1999). The major obstacle facing eradication is inadequate political
and financial commitment, the success of the initiative rests on political
commitment within the endemic countries together with support from
international organizations and donor countries (Centers for Disease
Control and Prevention 1998, Hull et al. 1998, Satcher 1999). Although
the goal of eradicating of poliomyelitis by the year 2000 was not achieved,
enough resources should continue to be mobilized through international
cooperation until poliomyelitis is eradicated. The Global Alliance for Vaccines and Immunizations (GAVI), which aims to mobilize enough resources
to reach children who are currently missed in immunization efforts, has
been launched to that end.
Poliomyelitis
143
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Chapter 6
Tetanus
A Galazka, M Birmingham, M Kurian, FL Gasse
Introduction
Tetanus, although vaccine-preventable, remains a common disease in many
developing countries. In these countries, tetanus affects mainly younger
persons, especially newborns. Neonatal tetanus can be considered as a
paradigm of underdevelopment: each case demonstrates multiple failures
in the health system. Each is a result of failure to protect the mother with
tetanus toxoid, coupled with unhygienic practices which bring tetanus
spores into contact with the umbilical stump. For a long time, the persistence of this disease was attributable, at least in part, to a lack of awareness by health authorities about the true magnitude of this problem. In
industrialized countries, the incidence of tetanus decreased considerably
with rising standards of living and effective primary health care services
that include routine immunization services for children, adolescents and
adults, and modern midwifery. However, elderly persons not vaccinated
during their youth are still victims of tetanus.
In this chapter we outline the extent of tetanus in developing and
industrialized countries, and discuss relevant clinical and epidemiological aspects of this disease. Such knowledge is essential for adjusting and
strengthening control strategies.
Causative agent and pathogenesis of tetanus
The tetanus bacillus, Clostridium tetani, is the causative agent of tetanus.
C. tetani is an obligate anaerobic bacillus which has the ability to form
spores resistant to various disinfectants and to heat. Boiling for 20 minutes
does not destroy it. For practical purposes, autoclaving at 120ºC for 15
minutes is the best method of sterilizing contaminated materials. Spores
are ubiquitous; they are present in soil samples, house and operating room
dust, fresh and salt water, and the gastrointestinal tract of humans and
other animals.
152
Global Epidemiology of Infectious Diseases
C. tetani produces disease through a potent neurotoxin, tetanospasmin.
The clinical syndrome is caused entirely by tetanospasmin produced by
the vegetative forms of C. tetani. The bacillus is usually introduced into an
area of injury in the form of spores. Spores convert to the vegetative forms,
multiply and produce toxin only when they find anaerobic conditions—i.e.
when they are placed in an area of low oxygen availability—which are
produced by necrosis, or bacterial or chemical changes in a wound. This
explains the association of non-neonatal tetanus with puncture wounds,
lacerations and burns contaminated with soil, street dust, or animal or
human faeces. Tetanus can also follow induced abortions, chronic otitis
(common in India), administration of non-sterile injections (particularly
with necrotizing materials such as intramuscular quinine), body piercing, scarification rituals, insect bites (bees, scorpions, etc.) and other
unnoticed, minor and trivial injuries. It can also occur as a postoperative
complication.
Neonatal tetanus may occur during delivery, through the introduction
of tetanus spores by cutting the umbilical cord with an unclean instrument,
or after delivery, by dressing the umbilical stump with substances heavily
contaminated with tetanus spores. Contaminated by dirt or other foreign
substances, the necrotized and infected umbilical stump is an ideal place
for the growth of C. tetani and the production of tetanus toxin.
Toxin produced in the place of injury travels along nerves towards the
central nervous system (CNS) by retrograde intra-axon transport. The
severity of the disease is determined by the amount of tetanospasmin
produced. In the CNS, tetanus toxin becomes fixed in the ganglion cells
of the anterior horn of the spinal and cranial nerves. Tetanus toxin causes
increased irritability of the CNS and exaggerated motor activity. It disinhibits spinal cord reflex arcs, presumably by interfering with release of
inhibitory neurotransmitters. Freed from inhibition, excitatory reflexes
lead to multiple spasms.
Clinical manifestations, diagnosis and treatment
There are considerable differences in the epidemiology, clinical picture,
morbidity and mortality rates of the two main age groups of tetanus
(neonatal and non-neonatal), as well as their predisposing causes and
prevention.
Clinical course of neonatal tetanus
The clinical course of neonatal tetanus is well known to people in areas
where the disease is prevalent. As early as 1764, the Reverend Kenneth
MacAuley of St Kilda, a remote island off the Atlantic coast of Scotland,
whose population was progressively decimated by neonatal tetanus in
the 18th and 19th centuries, gave an excellent description of the disease
(Collacot 1981, Woody & Ross 1989). In some developing countries,
the disease is so common it has descriptive names such as “sickness with
Tetanus
153
inability to breast feed,” “convulsion sickness,” or “stiff body sickness”
(Marshall 1968). Numerous reports have described the clinical course of
the disease (Jellife 1950, Ogbeide 1966, Athavale et al. 1975, Handalage
& Wickramasinghe 1976). The first symptom noticed by mothers on the
3rd to 10th day of life is the child’s excessive crying and inability to suck
at the breast after developing normally for the few first days. The baby
wants to feed but cannot because of trismus (or “lockjaw”), a spasm of the
jaw muscles (masseters) that prevents the proper positioning of the baby’s
lips and the rhythmic contraction of the appropriate muscles necessary
for effective suckling.
Within hours after the first symptoms the baby develops generalized
stiffness of the body and begins to have spasms. Trismus and risus sardonicus are the symptoms most often noted upon hospital admission of neonatal tetanus cases. These two symptoms are characterized by a clenched
jaw, raised eyebrows and lips drawn laterally and upwards—the whole
appearance producing the risus sardonicus facial expression. In neonates,
sometimes the lips are pursed in a whistling expression (Ogbeide 1966).
Tetanus spasms are infrequent at first, but increase in frequency and often
are precipitated by a stimulus such as touch, light or noise. Spasms may
last from a few seconds to over a minute. During spasms breathing is
affected and the child may become cyanotic or pale. Children may die from
severe apnoea during spasms, or 2 to 4 days later as a result of aspiration
pneumonia or acute gastroenteritis.
During spasms, both arms are flexed at the elbows and held in the front
of chest. The legs are drawn up and flexed at the knees. The feet are dorsiflexed and the toes acutely flexed. This hyperflexion of toes, a very marked
feature, is indicative of severe generalized rigidity and of hypertonia in the
small muscles of the soles of the feet (Athavale & Pai 1965). The neck is
somewhat retracted and there is a marked stiffness of abdominal and back
muscles. In severe cases, spasms of the erector muscles of the spine cause
the baby’s back to be arched backward (opisthotonos).
Clinical course of non-neonatal tetanus
The incubation period of non-neonatal tetanus varies from 3 to 21 days
with extremes of 1 day to several months and a median of seven days
(Wassilak, Orenstein & Sutter 1997). Tetanus may appear in one of three
clinical forms: localized, cephalic, or generalized.
In the localized form, there is persistent, painful rigidity of the group of
muscles in close proximity to the site at which C. tetani was introduced.
Symptoms may persist for several weeks or months and finally disappear,
without leaving any sequelae, or progress to generalized tetanus. Local
tetanus is usually mild, and has a case-fatality ratio of about 1 per cent.
Cephalic tetanus is rare and is usually associated with injury of the
head, eye, face, ear (e.g. chronic otitis media), or neck. Clinical features
are palsies of cranial nerves III, IV, VII, IX, X, and XI. The disease has a
short incubation period and may progress to generalised tetanus.
154
Global Epidemiology of Infectious Diseases
Generalized tetanus is the most common form of the disease. It is characterized by painful muscular contractions, primarily of the masseters (i.e.
trismus) and neck muscles. A common first sign is abdominal rigidity,
although other groups of muscles may be involved, usually accompanied
by severe pain. Generalized spasms occur, frequently induced by external
stimuli such as touch, light or noise. The case fatality ratios are highest in
infants and the elderly, and vary inversely with the length of the incubation
period and the quality of medical care received (Einterz & Bates 1991).
Diagnosis
The diagnosis of tetanus is established primarily on clinical grounds and
secondarily on epidemiological grounds. A history of a wound contaminated by soil or other material, or a history of unhygienic delivery are
helpful in the diagnosis. Usually diagnosis is made clinically by excluding
other possibilities. Attempts at laboratory confirmation are of little help;
the organism is rarely recovered from the site of infection and usually there
is no detectable antibody response.
Treatment
Management of generalized tetanus aims to:
 Neutralize any toxin still present in the blood before it comes into
contact with the nervous system. This is accomplished by the prompt
administration of tetanus antitoxin.
 Prevent further toxin production by eliminating the organism at the
infected site. This can be done by the thorough debridement of wounds,
excising all devitalised tissue and removing all foreign bodies. Antibacterial therapy with antibiotics is routinely used to reduce the number of
vegetative forms of the organism.
 Provide constant and meticulous nursing and medical care. Along with
assisted ventilation, many tetanus patients are managed with heavy
sedation, muscle relaxants and curare-like drugs, and drugs that reduce
the hyperactivity of the autonomic nervous system.
 Closely monitor fluid, electrolyte, and caloric balance, especially in
neonates and other patients with repeated seizures or inability to take
food or liquids because of severe trismus, dysphagia or hydrophobia.
 Prevent recurrence through vaccination. Since the disease does not
stimulate the development of immunity against further attacks, every
patient should be given an injection of tetanus toxoid followed by a
second dose after at least 4 weeks and a third dose 6 to 12 months after
the second dose.
Tetanus
155
Mortality related to tetanus
Case-fatality ratios
The prognosis of tetanus is influenced by various factors, including duration of incubation or onset (a function of the amount and rapidity of
tetanus toxin production), age, immunization status, underlying illness,
delay-time from onset to treatment and quality of supportive care (Marshal
1968, Sutter, Overstein & Wassilak 1994). The highest case-fatality ratios
(CFRs) occur at extreme ages: neonates and elderly persons (Table 6.1).
Three main causes of death from tetanus include: deaths that occur
from asphyxiation attributable to a muscle spasm resulting in prolonged
hypoventilation (57 per cent); deaths attributable to metabolic troubles
such as dehydration, hypoglycaemia, hyponatriaemia and hypocalcaemia
(20 per cent); and deaths related to superinfection (23 per cent) (Sow, Coll
& Diop-Mar 1985).
Case fatality ratios for tetanus reported through national surveillance
systems in industrialized countries are varied. In the past, CFRs for general
tetanus exceeded 40 per cent, but have declined over time to as low as 10
per cent as a result of improved care (Edmonston & Flowers 1979). In
Denmark, CFRs for non-neonatal tetanus decreased from 80 per cent in
the early 1900s to 38 per cent in the 1930s to 13–27 per cent in the 1960s
to 9–11 per cent during the 1970s and early 1980s (Simonsen, Block &
Heron 1987) (Figure 6.1). Data from other national tetanus surveillance
systems indicate CFRs of 11 per cent in Finland (Luisto 1989), 17–30
per cent in Spain, Switzerland (Zuber et al. 1993) and the United States
of America (Prevots et al. 1992); and 39–43 per cent in France (Pelletier
& Roure 1991) and Poland (Kuszewski & Dutkiewicz 1994). The large
majority of tetanus cases reported from these surveillance systems were
non-neonatal.
Table 6.1
Case fatality ratios in tetanus patients by age, India 1954–
1968 and 1975, Nigeria 1974–1984
Age
< 1 month
1 month–4 years
5–9 years
10–19 years
20–29 years
30–39 years
40–49 years
50–59 years
> 60 years
India 1954–68a
India 1975b
Nigeria 1974–84c
86.4
32.8
—
33.7
61.5
45.9
46.8
49.3
53.4
74.4
50
37.8
50
52.9
56.7
46.2
70.6
—
—
—
—
46.7
35.8
30.9
43.6
66.7
85.7
a. Patel and Mehta (1975)
b. Ghosh (1984)
c. Bandele, Akinyan & Bojowoye et al. (1991)
156
Global Epidemiology of Infectious Diseases
Neonatal tetanus incidence and mortality rate
(per 10 000 live births)
Figure 6.1
Incidence and mortality rates and case fatality ratios for neonatal tetanus, Denmark, 1920–1960
8
97%*
97%*
Mortality rate
Incidence rate
7
6
87%*
5
87%*
67%*
63%*
4
40%*
3
2
40%*
1
0
42%*
25%*
1920– 1925– 1930– 1935– 1940– 1945– 1950– 1955– 1960– 1965–
1924 1929 1934 1939 1944 1949 1954 1959 1964 1969
Year
* case fatality ratio
Source: Simonsen, Block & Heron, 1987
Reported CFRs associated with neonatal tetanus from commmunity-based studies in developing countries range from 25–100 per cent
(Table 6.2). Neonatal tetanus CFRs reported from health facilities ranged
from 11–100 per cent. Facility-based data are, however, difficult to interpret
since they are affected by health care seeking behaviour, and hospitalized patients, particularly those who are moribund, may be discharged
or removed from the hospital by family members before their outcome is
recorded. Modern therapeutic methods such as artificial respirators and
neuromuscular blocking agents are often unavailable in health facilities in
developing countries; nevertheless, implementation of simple therapeutic
schemes and good basic nursing care have been reported to reduce neonatal
tetanus CFRs to between 24 per cent and 63 per cent (Daud, Mohammad
Ahmad 1981, Einterz & Bates 1991).
Maternal tetanus is associated with unhygienic conditions primarily during home deliveries and abortion procedures, and is estimated to account
for 5 per cent of all maternal mortality (Faveau et al. 1993). Maternal
tetanus is mentioned as the cause in 1–15 per cent of all non-neonatal
tetanus illness or death (La Force, Young & Bennet 1969, Patel & Mehta
1999, Yadav, Kala & Yadav 1990, World Health Organization 1991).
In an urban hospital in South Africa, 35 per cent of all tetanus patients
among women between the ages of 15 and 50 years were admitted after
abortions; the incidence of post-abortion tetanus was 1 in 800 cases of
abortion (Bennett 1976). In Lagos Teaching Hospital in Nigeria, 82 per cent
of 27 maternal tetanus cases were post-abortal (Adadevoh & Akinla 1970).
In a series of 503 adult tetanus cases seen at a hospital in Ibaden, Niger,
Tetanus
Table 6.2
157
Case fatality ratios associated with tetanus, 1920–1995
Country
Year(s) to
which data
pertain
Type of
tetanusa
Case
fatality
ratio (%) Reference
Community-based studies
Colombia
Mexico
Nigeria
Nigeria
Nigeria
Pakistan
Sudan
Viet Nam
1961
1988–1989
1991–1992
1988
1990
1986–1987
1981
1989
NT
NT
NT
NT
NT
NT
NT
NT
95
25
50
80
40–90
1000
74
80
Newell et al. 1966
Ayala et al. 1995
Abuwa et al. 1997
Babaniyi & Parakoyi 1991
Eregie 1993
Khan & Hardjotanajo 1989
Olive, Gadir El Sid & Abbas 1982
Thanh et al.1990
India
Nigeria, Lagos
South Africa, Cape Town
India
Nigeria, Lagos
Senegal, Dakar
1984–1987
1963–1967
1965–1972
1984–1987
1963–1967
1982–1983
MT, PA
MT, PA
MT, PA
MT, PP
MT, PP
MT, PP
70
50
16
47
20
50
Yadav, Kala & Yadav 1991
Adadevoh & Akinla 1970
Bennett, 1976
Yadav,Yadav & Kala 1991
Adadevoh & Akinla 1970
Diop-Mar et al. 1985
Denmark
Finland
France
Greece
1978–1982
1969–1985
1990
1966–1977
NNT
NNT
NNT
NNT
9
11
43
32
Haiti
India
India, Bombay
1959–1966
1985–1987
1954–1962
NNT
NNT
NNT
30
31
33
India, Bombay
Italy
Italy
Italy
Italy
Italy
Switzerland
Tanzania, Dar es Salam
Turkey
United Kingdom,
Leeds
United States
United States
United States
United States
1954–1968
1956–1960
1961–1965
1966–1970
1971–1975
1976–1980
1980–1989
1970
1977–1991
1961–1977
NNT
NNT
NNT
NNT
NNT
NNT
NNT
NNT
NNT
NNT
86
72
52
47
64
70
30
20
28
10
Simonsen, Block & Heron 1987
Luisto 1989
Pelletier & Roure 1991
Teknetzi, Manios S & Katsouyanopoulos V 1983
Marshall 1968
Yadav YR, Kala & Yadav 1990
Vakil BJ, Tulpule TH & Rananvare
MM 1965
Patel & Mehta 1975
Rosmini et al. 1987
Rosmini et al. 1987
Rosmini et al. 1987
Rosmini et al. 1987
Rosmini et al. 1987
Zuber et al. 1993
Ayim 1972
Tutuncuoglu et al. 1994
Edmonsen & Flowers 1979
1965–1966
1947
1976
1989–1990
NNT
NNT
NNT
NNT
68
91
44
24
La Force,Young & Bennett 1969
Prevots et al. 1992
Prevots et al. 1992
Prevots et al. 1992
Bangladesh
Benin
1994–1995
1977–1986
NT
NT
55
29
Kalter et al.1999
Ayivi et al. 1992
Facility-based studies
continued
158
Table 6.2
Global Epidemiology of Infectious Diseases
Case fatality ratios associated with tetanus, 1920–1995
(continued)
Country
Year(s) to
which data
pertain
Type of
tetanusa
Brazil
Denmark
Denmark
Denmark
Denmark
Denmark
Denmark
Denmark
Denmark
Denmark
Egypt
Egypt
Germany, Dresden
Ghana
Haiti, rural
Haiti, rural
1964
1930–1950
1920–1930
1930–1940
1940–1945
1945–1950
1950–1955
1955–1960
1960–1965
1965–1970
1988
1980
1957
1971–1974
1953
1967
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
77
85
97
87
67
63
46
40
42
25
66
78
60
64
53
1000
India
1987–1988
NT
82
India
1989
NT
63
1985–1986
1973–1974
1970
1964–1970
1967–1970
1945–1965
1956–1963
1959–1972
1954–1968
1961–1964
1960–1973
1973–1982
1984–1985
1940–1982
1974–1977
1968–1972
1970–1979
1980–1990
1970–1990
1976–1982
1989
1983–1986
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
97
72
57
88
57
91
73
77
86
59
39
43
51
80
11
21
47
13
25
65
33
51
India
India
India
India
India
India, Bikaner
India, Bombay
India, Bombay
India, Bombay
India, Hyderabad
Indonesia
Iran
Iraq
Japan
Malaysia, Kuala Lumpur
Malaysia, west
Mexico
Mexico
Mexico
Mozambique, Maputo
Nigeria
Nigeria
Case
fatality
ratio (%) Reference
Pinheiro 1964
Christensen 1970
Simonsen, Block & Heron 1987
Simon, Block & Heron 1987
Simonsen, Block & Heron 1987
Simonsen, Block & Heron 1987
Simonsen, Block & Heron 1987
Simonsen, Block & Heron 1987
Simonsen, Block & Heron, 1987
Simonsen, Block & Heron 1987
El-Sherbini 1991
Riyad & El Gereidy 1983
Marshall 1968
Blankson 1977
Marshall 1968
Berggren, Ewbank & Berggren
1981
Deivanayagam, Nedunchelian &
Kamula 1991
Deivanayagam, Nedunchelian &
Kamula 1991
Verma, Dhanwade & Singh 1989
Bhat, Joshi & Kandoth 1979
Mazumdar & Chakraborthy 1974
Phatak & Shah 1973
Majumdar & Kaur S 1971
Saxena & Saxena 1965
Athavale & Pai 1965
Athavale et al. 1975
Patel & Mehta 1975
Jaffari, Pandit & Ismail 1966
Barten 1973
Hasanabadi 1987
Al Mukhtar 1987
Ebisawa & Homma 1986
Khoo, Lee & Lam 1978
Chen 1974
Simental et al. 1993
Simental et al. 1993
Simental et al. 1993
Cliff 1985
Antia-Obong & Ikpatt 1991
Antia-Obong & Ikpatt 1991
continued
Tetanus
Table 6.2
159
Case fatality ratios associated with tetanus, 1920–1995
(continued)
Country
Nigeria
Nigeria
Nigeria
Nigeria
Nigeria
Nigeria
Nigeria
Nigeria, Benue
Pakistan
Pakistan
Pakistan
Senegal
Senegal
Senegal
Sierra Leone
Singapore
Singapore
Singapore
South Africa
South Africa
South Africa
Sri Lanka
Sudan, Juba
Turkey
Turkey
Uganda
United States
United States
United States, New
Orleans
United States, Southern
Region
United States, Texas
Venezuela
Venezuela
Venezuela
Year(s) to
which data
pertain
Type of
tetanusa
Case
fatality
ratio (%) Reference
1986–1988
1975–1977
1978–1980
1962–1964
1953–1956
1953–1956
1950
1984–1989
1979–1980
1979–1980
1982
1980
1984
1992–1993
1955–1960
1946–1949
1960–1970
1946–1950
1953–1955
1956–1959
1967–1972
1971–1974
1983
1977–1991
1978–1988
1985–1989
1953–1961
1965–1966
1946–1951
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
NT
43
63
34
68
89
90
96
65
48
44
38
69
62
53
73
91
77
90
97
83
21
60
84
53
42
78
62
77
77
Owa & Makinde 1990
Okoro & Okeahialam 1987
Okaro & Okeahialam 1987
Ogbeide 1966
Tompkins 1958
Miller 1972
Jelliffe 1950
Einterz & Bates 1991
Daud, Mohammad & Ahmad 1981
Akbar 1981
Waheed et al. 1981
Sow et al.1985
Sow, Coll & Diop-Mar 1985
Sow, Coll & Diop-Mar 1995
Wilkinson 1961
Miller 1972
Chen 1973
Gek 1951
Klenerman & Scragg 1955
Wright 1960
Smythe, Bowie & Voss 1974
World Health Organization 1977
Woodruff et al. 1984
Tutuncuoglu et al. 1994
Gurses & Aydin 1993
Bwire & Kawuma 1992
Bytchenko 1966
La Force,Young & Bennett 1969
Spivey, Grulee & Hickman 1953
1957
NT
77
Axnick & Alexander 1957
1954
1971–1975
1971–1975
1970–1992
NT
NT
NT
NT
42
42
42
61
Box 1964
World Health Organization 1978
World Health Organization 1978
World Health Organization 1993a
a. NT = neonatal tetanus; NNT = non-neonatal tetanus; MT = maternal tetanus, PA = post-abortal,
PP = post-partum
the uterus was the portal of entry in 72 (14 per cent) cases of which 20
(28 per cent) were post-abortal (Adeuja & Osuntokun 1971).
High CFRs have been reported for maternal tetanus (Bennett 1976,
Adadevoh & Akinla 1970, La Force, Young & Bennett 1969, Patel &
160
Global Epidemiology of Infectious Diseases
Mehta 1999, Yadav, Yadav & Kala 1991). In a review of 1 101 cases of
maternal tetanus from 60 studies in developing countries between 1958
and 1990, a median CFR of 52 per cent (range: 16–80 per cent) was found
in Africa and 54 per cent (range: 42–64 per cent) in Asia (Faveau et al.
1993). An earlier review of seven studies of postpartum and post-abortal
tetanus reported CFRs ranging from 65–72 per cent (Bytchenko 1966).
CFRs were generally higher for post-abortal tetanus than for postpartum
tetanus in developing countries. Reviews of maternal tetanus (both postpartum and post-abortal) in Europe and the USA before 1960 showed
CFRs between 57 per cent and 100 per cent (Adams & Morton 1955,
Weinstein & Beacham 1941).
Complications and sequelae after tetanus
It is generally thought that patients who recover from tetanus do not have
sequelae and that neurological complications are rare (Marshall 1968).
However, a careful analysis of the literature shows that residua after tetanus may have an important practical significance when follow-up periods
cover several months to several years after the acute phase of the disease.
The complications of tetanus may be divided into two categories—those
induced by the toxin itself and those resulting from debility (Sutter, Orenstein & Wassilak 1994).
Toxin-related complications
Spasm-related complications include fractures of the long bones and vertebrae, asphyxia from obstruction of the glottis, spontaneous rupture of
muscles, intramuscular haematomas, and traumatic glossitis.
Vertebral fractures should be considered among the most common
complications of tetanus. They are recognized rarely because of their
poor clinical expression; local signs and symptoms are uncommon even
when the vertebral injury is extensive (Chaubey 1965, Januszkiewicz 1975,
Veronesi, Vitule Filho & Ferrarceto 1975). In some cases there may be
some mobility limitations (Yurchuk & Luchko 1989) but even in the
presence of some pain, movements of the spine (flexion, extension and
rotation) are often impaired very little. The diagnosis is based mainly on
X-ray examination. Vertebral fractures are not seen after neonatal tetanus
but they are frequent in children and adults.
The extent of vertebral injury is directly related to the severity of tetanus,
and especially to the degree of rigidity of dorsal muscles (Chaubey 1965,
Januszkiewicz 1975). The fourth, fifth and sixth thoracic vertebrae are
most commonly affected; multiple fractures are common (Chaubey 1965,
Patel, Mehta & Goodluck 1965, Januszkiewicz 1975, Veronesi, Vitule
Filho & Ferraceto 1975). The vulnerability of these three vertebrae may
be attributable to the powerful muscles operating in an area of minimal
flexibility, causing excessive outward curvature of the spine (i.e. kyphosis).
The reported frequency of post-tetanus vertebral fractures varies: from 48
Tetanus
161
per cent (Januszkiewicz 1975), to 51 per cent (Chaubey 1965) to 57 per
cent (Patel, Mehta & Goodluck 1965) to 78 per cent (Veronesi, Vitule
Filho & Ferraceto 1975).
Vertebral fractures may lead to kyphosis, “pectum carinatum,” and
gibbous dorsal deformity (i.e. humpback) (Chaubey 1965, Veronesi, Vitule
Folho & Ferraceto 1975). In one study, 16 patients (13 per cent) with
degeneration-dystrophic changes in the spine (osteochondrosis, spondylitis)
experienced difficulties in their jobs and had to be transferred to easier
work; four of them were officially declared as invalids (Yurchuk & Luchko
1989). Bilateral anterior dislocation of the temporomandibular joint was
reported as a direct effect of toxin-induced spasms (Thachil, Philip &
Sridhar 1993). Tetanus toxin may also induce urinary retention, cardiac
arrhythmia, hypotension, and hypertension (Sutter, Orenstein & Wassilak
1994). Cardiovascular, gastric, and renal complications usually worsen
the prognosis. All these complications can be minimized by paying strict
attention to supportive care and by instituting appropriate therapy.
The effects of tetanus toxin on the autonomic nervous system are probably the main causes of different conditions seen in post-tetanus follow-up.
Among 25 adult tetanus survivors who were followed up for 3 months to
11 years, various proportions of them had symptoms of irritability, sleep
disturbances, seizures, clonic spasms, decreased libido, postural hypotension, and electroencephalographic abnormalities (Illis & Taylor 1971),
but these symptoms were generally self-limiting.
Complications attributable to debility
Pneumonia, probably as a result of aspiration of the contents of the stomach during a spasm, occurs often in neonates. Pneumonia may also occur
in the third or fourth week of the illness, possibly as a result of general
debility.
Other complications may include pulmonary embolism, decubitus
ulcers, faecal impaction, catheter-associated infections, and muscle contracture (Sutter, Orenstein & Wassilak 1994).
Neurological defects observed in survivors of neonatal tetanus, especially in those who suffered frequent and prolonged bouts of spasms and
apnoea, have been attributed to brain damage caused by anoxia at a vulnerable period of brain growth and development (Anlar et al. 1989, Khoo et
al. 1978, Teknetzi et al. 1983, Tutuncuoglu et al. 1994). In many of these
children, mental or growth retardation and behavioural disturbances were
observed from 2 to 15 years after recovery.
Age distribution of tetanus
There are considerable differences in the epidemiology, clinical picture, and
the morbidity and mortality rates of neonatal and non-neonatal tetanus,
as well as in their predisposing causes and prevention.
The overall age distribution of tetanus has changed considerably,
162
Global Epidemiology of Infectious Diseases
Figure 6.2
Reported age-specific tetanus incidence rates, by 5-year
intervals, United States, 1965–1994
0.70
1965–1969
1970–1974
1975–1979
1980–1984
1985–1989
1990–1994
Average annual rate per 100 000
0.35
0.30
0.25
0.20
0.15
0.10
0.05
0
<1
5–19
20–39
40–49
50–59
60+
Age group (years)
Source: Wassilak, Orenstein & Sutter 1997
particularly in age groups covered by routine immunization. Figure 6.2
shows the progressive impact of tetanus immunization in the United States
according to age. After 30–40 years of routine immunization, tetanus
virtually disappeared in infants, children and teenagers and its incidence
greatly decreased in adults, with the highest incidence rate among adults
of 60 years of age and older.
In other industrialized countries, tetanus has also become a rare disease
in children and young adults, the age groups that were most frequently
affected before the introduction of immunisation services. In the industrialized world, persons under 20 years of age constitute only 2–9 per cent of
all tetanus cases, and the majority of tetanus cases occur in persons over
50 years of age (Table 6.3). In France, of the 30 cases reported in 1990,
22 cases (73 per cent) were over 70 years of age; the median age of patients
was 77 years (Pelletier & Roure 1991). In the United States, by 1985,
70 per cent of reported tetanus cases occurred in persons aged 50 years
and older (Centers for Disease Control and Prevention 1985). In England
and Wales, 60 per cent of 123 reported tetanus cases between 1984 and
1992 were patients over the age of 65 years (Anonymous 1993).
The age-specific shift in tetanus incidence parallels changes in tetanus
immunity; the level of tetanus antibody is highest in persons under 30 years
of age. Then immunity decreases with increasing age and falls to the lowest
levels in the over-50 age group (Christenson and Bottiger 1987, Galazka
and Kardymowicz, 1989, Bourleaud and Huet 1985, Misra and Rao 1988,
Tetanus
Table 6.3
163
Age distribution of tetanus cases (percentage of cases < 20
and > 50 years of age), 1954–1992
Country
Year
Type of Study
< 20 > 50
years years Reference
Developing countries
Cameroon,
Yaounde
Chile
1971–72 Hospital study
23
18
Ancelle et al. 1974
1975–76 National surveillance 56
19
Chile
1982–83 National surveillance 28
27
India, Bombay
Jamaica
Nigeria, Ibaden
Nigeria, Lagos
Senegal
Senegal
Upper Volta
Upper Volta
1954–68
1980–86
1963–69
1967–70
1960–67
1985–86
1968–72
1972–75
71
49
28
48
68
65
62
69
4
32
12a
8a
6
9
4
3a
de la Fuente, Gonzalez &
Guevara 1986
de la Fuente, Gonzalez &
Guevara 1986
Patel & Mehta 1975
Figueroa & Clarke 1988
Adeuja & Osuntokun 1971
Afonja 1973
Rey & Tikhomorov 1989
Rey & Tikhomorov 1989
Galazka & Gasse 1995
Cosnard, Joullie & Davin 1977
0
85
Hospital study
Hospital study
Hospital study
Hospital study
Hospital study
Hospital study
Hospital study
Hospital study
Industrialized countries
Denmark
1978–82 National surveillance
England, Wales
1970
National surveillance 27b
50c
England, Wales
1979
National surveillance
0b
55c
9d
1
54
69e
National surveillance
National surveillance
National surveillance 46
National surveillance 15
National surveillance 3
National surveillance 2
Hospital study
0
National surveillance 3
National surveillance 4
93f
93f
26
53
81
86
64
81
71a
Finland
France
1969–85 Hospital study
1969–79 Hospital study
France
France
Poland
Poland
Poland
Poland
Switzerland
Switzerland
United States
1990
1991–92
1960
1970
1980
1990
1968–89
1980–89
1982–84
United States
1985–86 National surveillance
5
71
United States
1987–88 National surveillance
6
68
United States
1989–90 National surveillance
6
64
a. includes 50-year-olds
b.
c.
d.
e.
f.
< 14 years
> 45 years
includes 20-year-olds
< 15 years
> 60 years
Simonsen, Block & Heron
1987
Galbraith, Forbes & Tillett
1981
Galbraith, Forbes & Tillett
1981
Luisto 1989
Lamisse, Sonneville &
Choutet 1981
Pelletier & Roure 1991
Lombard & Lepoutre 1993
Galazka & Abgarowicz 1973
Galazka & Abgarowicz 1973
Galazka & Gasse 1995
Galazka & Gasse 1995
Jolliet et al. 1990
Zuber et al. 1993
Centers for Disease Control
and Prevention CDC 1985
Centers for Disease Control
and Prevention CDC 1985
Centers for Disease Control
and Prevention CDC 1985
Prevots et al. 1992
164
Global Epidemiology of Infectious Diseases
Crossley et al. 1979, Lau 1987). Serosurveys from industrialized countries
since 1977 indicate that 49–68 per cent of elderly persons lack protective
immunity against tetanus (Beytout et al. 1988, CDC 1985, Crossley et al.
1979, Simonsen et al. 1987b, Kjeldsen et al. 1988).
In developing countries, tetanus affects the younger segment of the
population. A major portion of the burden is among neonates, and children
or young adults up to the age 20 years (Table 6.3). Before implementation
of routine immunization of pregnant women against tetanus and improvement of delivery conditions, neonatal tetanus was responsible for about
half of all neonatal deaths (ranging from 23 per cent to 72 per cent) and
for about 25 per cent of infant mortality (Stanfield & Galazka 1984, Galazka, Kardymowicz 1989). Four decades ago, a similar situation existed
in what are now industrialized countries; in Denmark, neonatal tetanus
accounted for more than 50 per cent of all tetanus deaths until the mid1950s (Simonsen, Block & Heron 1987) and in the 1930s and 1940s the
incidence of neonatal tetanus was about five cases per 10 000 live births
with an average case-fatality ratio of 80 per cent (Figure 6.1).
As tetanus immunity levels increase in target groups covered by routine
immunization—infants or young children of both sexes and women of
child-bearing age—one may expect a considerable drop in incidence and
a shift in age distribution of tetanus cases (Misra & Rao 1988, Morgan et
al. 1981, Mya et al. 1985, Vernacchio et al. 1993). Data from Sri Lanka
show a 36-fold and 4-fold decline in neonatal tetanus and non-neonatal
tetanus incidence, respectively, over a 10-year period beginning in 1978
when national immunization services were introduced for both pregnant
women and infants (Galazka & Kardymovicz 1989).
Sex distribution of tetanus
During the pre-immunisation era, reports from all regions of the world
indicated a male predominance of tetanus cases, with the exception of the
child-bearing age group (Ebisawa 1971, Wassilak, Orenstein, K Sutter
1997). A review of several studies indicated a male:female ratio of approximately 2:1 (Bychentko 1966). A male predominance is also reported for
neonatal tetanus from many community-based studies (Table 6.4), suggesting that the male predominance of reported neonatal tetanus is not
just a function of health care seeking practices (i.e. male babies are more
likely to be brought to hospital than female babies). Although the male
predominance of adult tetanus is considered to be largely related to occupation (e.g. agricultural practices), some authors have suggested that there
may be biological factors; males may be more sensitive to tetanus toxin
than are females (Bychentko 1966, Ebisawa 1971). Animal studies offer
further evidence of a male predominance for tetanus (Bychentko 1966).
Systematic immunzation of children and military recruits has been shown
in many countries to reduce the incidence among children and adult males,
Tetanus
Table 6.4
165
Gender ratios of tetanus cases and deaths, 1944–1990
Country
Year
Male:
Female
Ratio
Outcome
Reference
Community-based studies
Bangladesh
Ethiopia
Pakistan
1990
1988–89
1988
1.5
2.5
1.4
cases
cases
cases
Hlady et al. 1992
Alemu 1993
Traverso et al. 1989
Columbia
Egypt
India
Côte d’Ivoire
Pakistan
Sudan
1961–66
1981
1957–59
1981–82
1981
1981
0.9
2.6
3.2
1.1
1.6
1.4
deaths
deaths
deaths
deaths
deaths
deaths
Newell et al. 1966
World Health Organization 1982b
Gordon, Singh & Wyon 1961
World Health Organization 1983
Suleman 1982
Olive, Gadir El Sid & Abbas 1982
Egypt
Egypt
Ghana
Greece
1980
1988
1971–74
1966–77
2.5
2.3
1.1
3.3
cases
cases
cases
cases
India
India
India
India
India, Bikaner
Iran
Mexico
Mozambique
Nepal
Nepal
Nigeria
Singapore
Sri Lanka
Syrian Arab Republic
United States
United States, New
Orleans
1956–63
1967–71
1970–71
1975
1945–65
1967–76
1970–90
1976–82
1975–77
1975–77
1953–56
1960–70
1972–74
1982–84
1965–66
1946–51
1.4
2.0
2.5
3.7
2.7
2.5
2.1
1.3
2.2
3.0
1.4
2.2
1.5
2.5
1.0
1.0
cases
cases
cases
cases
cases
cases
cases
cases
cases
cases
cases
cases
cases
cases
cases
cases
Riyad & El Geneidy 1983
El-Sherbini 1991
Blankson 1977
Teknetzi, Manios & Katsouyanopoulos 1983
Athavale & Pai 1965
Mazumder & Chakraborthy 1974
Parija & Mohanta 1973
Seghal, Gupta & Sidhu 1980
Saxena & Saxena 1965
Salimpour 1978
Simmental et al. 1993
Cliff 1985
Shreshta 1978
Manandhar 1978
Tompkins 1958
Chen 1973
Handalage & Wickramasinghe 1976
World Health Organization 1988
La Force,Young & Bennett 1969
Spivey, Grulee & Hickman 1953
India
Japan
Nigeria
1966–77
1967
1953–56
4.0
2.0
0.9
deaths
deaths
deaths
Bildhaiya 1983
Ebisawa 1971
Tompkins 1958
Facility-based studies
respectively, resulting in a relative increase in the proportional morbidity
among women (Bychentko 1966, Ebisawa 1971).
166
Global Epidemiology of Infectious Diseases
Weakness of tetanus surveillance
Reporting of neonatal tetanus separately
Until recently, many countries did not provide data to WHO on neonatal
tetanus separately from tetanus in other age groups. However, following
WHO recommendations to do so, separate reporting of neonatal tetanus
by countries increased from 18 per cent in 1974 to 89 per cent in 1995.
Notification efficiencies
Both forms of tetanus, neonatal and non-neonatal, are grossly underreported diseases. Neonatal tetanus especially, with its “peculiar quietness”
is often overlooked by public health authorities and is hidden within the
community (Stanfield & Galazka 1984). The neonate often dies at home
or fails to reach a hospital. Table 6.5 presents the estimated notification
efficiency of tetanus reporting from the published literature. The WHO
estimated that at the beginning of the 1980s routine reporting systems
identified no more than 5 per cent of tetanus cases occurring worldwide
(Stanfield & Galazka 1984).
When notifications of tetanus cases to health authorities were compared with results of a survey of tetanus cases admitted to nine hospitals
in Jamaica between 1980 and 1986, it was found that only 32 per cent of
tetanus admissions were officially reported to health authorities (Figueroa
& Clarke 1988). The level of underreporting was underestimated by this
study as it excluded most of the small rural and private hospitals. In Switzerland, through a capture-recapture method, only 6–13 per cent of tetanus
cases were reported to the Federal Office of Public Health; by contrast,
mortality data reported by physicians on death certificates to the Swiss
Federal Statistical Office were more complete at 81–100 per cent (Zuber
et al. 1993). In a review of all tetanus cases from 1969–1978 in England
and Wales, it was estimated that only 25 per cent of all tetanus cases were
notified (Galbraith Forbes & Tillett 1981). A review of surveillance data
from 1979–1984 in the United States showed that only 40 per cent of all
tetanus deaths were reported to the US Centers for Disease Control and 60
per cent to the US National Center for Health Statistics, with a combined
notification efficiency of 76 per cent by a capture-recapture method (Sutter
et al. 1990). In Denmark, only 66 per cent of hospitalized tetanus cases
were reported (Simonsen, Block & Heron 1987).
Trends in tetanus morbidity reported to WHO
Despite the poor notification efficiency of tetanus in most countries,
the case reports are still useful to monitor trends. The global number of
reported cases of tetanus decreased from 114 000 in 1980 to 64 000 in
1990, representing a 44 per cent decline in a 10-year period during which
national immunization services were expanding rapidly in most developing
countries (Figure 6.3). When neonatal tetanus and non-neonatal tetanus are
presented separately, inverse patterns can be seen (Figure 6.3). The number
of cases of reported non-neonatal tetanus was more than halved, from 101
Burundi
Cameroon
Cote d’Ivoire
Egypt, Alexandria
Egypt
Egypt
Ethiopia
Gambia
India
India
India
India
India
Iran
Kenya
Malawi
Mexico
Somalia
Sudan
Thailand
Togo
Uganda
1981–1986
1981–1986
1981–1982
1980
1981–1986
1988
1981–1986
1981–1986
1989–1992
1981
1989
1992
1992
1986
1981–1986
1983
1988–89
1981–1986
1981–1986
1980
1981–86
1981–86
Year(s) to which
data pertain
Community-based survey
Community-based survey
Community-based survey
Combined active/passive case finding
Community-based survey
Hospital record review
Community-based survey
Community-based survey
Community-based survey
Community-based survey
Community-based survey
Community-based survey
Community-based survey
Community-based survey
Community-based survey
Community-based survey
Community-based survey
Community-based survey
Community-based survey
Community-based survey
Community-based surveys
Community-based surveys
Study type
Notification efficiencies of tetanus cases, 1969–1992
Neonatal tetanus cases
Country
Table 6.5
<100
10–22
2
94
45
10
<100
<100
10
8
11
13
15
5
<100
6
0
<100
<100
14
10–22
<100
Notification
efficiency (%)
continued
World Health Organization 1987a
World Health Organization 1987a
Sokal et al. 1988
Riyad & El Geneidy 1983
World Health Organization 1987a
El-Sherbini et al. 1991
World Health Organization 1987a
World Health Organization 1987a
Singh, Datta & Foster 1997
Singh, Datta& Foster 1997
Singh, Datta & Foster 1997
Singh, Datta & Foster 1997
Singh,Datta & Foster 1997
Hasanabadi 1987
World Health Organization 1987a
World Health Organization 1987a
Ayala et al. 1995
World Health Organization 1987a
World Health Organization 1987a
World Health Organization 1993c
World Health Organization 1987a
World Health Organization 1987a
Reference
Tetanus
167
1982–1987
1969–1978
1988
1980–1989
1980–1989
1979–1984
1981–86
1981–86
Year(s) to which
data pertain
Hospital-based data
Surveillance data
Hospital-based data
Surveillance data
Surveillance data
Surveillance data
Community-based surveys
Community-based surveys
Study type
66
25
32
81–100a
6–13
76
<100
10–22
Notification
efficiency (%)
Notification efficiencies of tetanus cases, 1969–1992 (continued)
a. notification efficiency is for tetanus deaths (not cases)
Denmark
England and Wales
Jamaica
Switzerland
Switzerland
U.S
Total tetanus
Zaire
Zimbabwe
Country
Table 6.5
Simonsen, Block & Heron 1987a
Galbraith, Forbes & Tillett 1981
Figueroa & Clarke 1988
Zuber et al. 1993
Zuber et al. 1993
Sutter et al. 1990
World Health Organization 1987a
World Health Organization 1987a
Reference
168
Global Epidemiology of Infectious Diseases
Tetanus
169
Figure 6.3
Non-neonatal tetanus
Neonatal tetanus
Number of reported cases
140 000
100
90
120 000
80
100 000
70
60
80 000
TT2plus
60 000
50
b
40
30
40 000
20
20 000
10
95
94
19
93
19
92
19
91
19
90
19
89
19
88
19
87
19
86
19
85
19
84
19
38
19
82
19
81
19
80
19
79
19
78
19
77
19
19
19
19
76
0
75
0
Reported immunization coverage (%)
Number of tetanus cases and immunization coverage
reported to WHO by national authorities, 1975–1995
Year
Source: WHO 2003
a Third dose of diptheria, tetanus and pertussis vaccine in infants
b Two or more doses of tetanus toxoid in pregnant women in developing countries or in countries with
economies in transition.
000 in 1980 to 39 000 in 1990. In contrast, the number of neonatal tetanus
cases increased until 1988, probably reflecting a combination of improved
notification efficiency within countries, more use of health facilities to treat
cases, and better reporting by national authorities to WHO. The surge in
reported cases between 1987–1988 is an artifact; Bangladesh and India did
not provide data on tetanus cases to WHO in 1987, but did so in 1988. In
1996, neonatal tetanus cases were reported for the first time from China.
Despite these artifacts, the reported data suggest that neonatal tetanus
contributes an increasing proportion to the overall tetanus burden. In 1980
and 1990, reported neonatal tetanus cases accounted for 11 per cent and
39 per cent, respectively, of the total reported tetanus cases, compared to
the 5–6 per cent contribution noted in the 1970s.
Reported morbidity by regions
Global figures hide variations among regions and countries. Some developing countries have demonstrated a spectacular impact of immunization
on tetanus incidence (Galazka & Gasse 1995). The reported numbers of
non-neonatal and neonatal tetanus cases from 1974 to 1996 in six WHO
regions are presented in Figure 4. A decreasing trend in non-neonatal
tetanus cases has been seen in all WHO regions. The trend for neonatal
tetanus cases varies by Region. In 1994, 58 per cent of all tetanus cases
and 38 per cent of neonatal tetanus cases were reported from India and
other Asian countries (data from China are unavailable).
170
Global Epidemiology of Infectious Diseases
Figure 6.4
Reported number of neonatal and non-neonatal tetanus
cases by WHO region, 1974–1992
African region
25 000
Number of cases
20 000
15 000
10 000
5 000
92
91
19
90
19
89
19
88
19
87
19
86
19
85
19
84
19
38
19
82
19
81
19
80
19
79
19
78
19
77
19
76
19
75
19
19
19
74
0
Year
Region of the Americas
Number of cases
8 000
6 000
4 000
2 000
19
74
19
75
19
76
19
77
19
78
19
79
19
80
19
81
19
82
19
38
19
84
19
85
19
86
19
87
19
88
19
89
19
90
19
91
19
92
0
Year
Eastern Mediterranean region
25 000
Number of cases
20 000
15 000
10 000
5 000
92
19
91
19
90
19
89
19
88
87
19
19
86
19
85
19
84
19
38
19
82
19
81
19
80
19
79
19
78
19
77
19
76
19
75
19
19
74
0
Year
Non-neonatal tetanus
Source: World Health Organization 1996
Neonatal tetanus
continued
Tetanus
171
Figure 6.4
Reported number of neonatal and non-neonatal tetanus
cases by WHO region, 1974–1992 (continued)
European region
Number of cases
3 000
2 000
1 000
92
91
19
90
19
89
19
88
19
87
19
86
19
85
19
84
19
38
19
82
19
81
19
80
19
79
19
78
19
77
19
76
19
75
19
19
19
74
0
Year
South-east Asia region
100 000
Number of cases
80 000
60 000
40 000
20 000
19
74
19
75
19
76
19
77
19
78
19
79
19
80
19
81
19
82
19
38
19
84
19
85
19
86
19
87
19
88
19
89
19
90
19
91
19
92
0
Year
Western Pacific region
Number of cases
8 000
6 000
4 000
2 000
Year
Non-neonatal tetanus
Source: World Health Organization 1996
Neonatal tetanus
92
19
91
19
90
19
89
19
88
87
19
19
86
19
85
19
84
19
38
19
82
19
81
19
80
19
79
19
78
19
77
19
76
19
75
19
19
74
0
Burma
Afghanistan
Bangladesh
Bangladesh
Bangladesh
Bangladesh
Bangladesh
Bangladesh
Bangladesh
Bangladesh
Bangladesh
Bangladesh
Bangladesh
Bangladesh
Bangladesh
Bangladesh
Bangladesh
Bhutan
Bhutan
Burkina Faso
Community-based
surveys
Country
Table 6.6
Bam, Sanmatenga, Namentenga districts
EPI area
Dhaka
Chittagong
Rajshahi division
MCH area
non-MCH area
Kabul
Matlab
Matlab
Teknaf
Teknaf, Chittagong
Area
1985
1989
1975–1977
1975–1977
1976–1977
1976–1977
1978
1986
1986
1986
1989
1990
1990
1993
1993–1994
1994
1995
1978–1983
1982
1989
Year(s) to
which data
pertain
15
19
19
30
3
13
18
3
6
25
22
89
48
45
54
82
12
37
37
27
27.4
27
3
11
41
10
13
18
2
Neonatal
tetanus
19
Neonatal
Mortality rates per 1000
live births
21
12
15
23
15
67
67
11
31
31
56
7
21
50
56
Percentage
of neonatal deaths
attributable to
tetanus
Stroh et al.1987
World Health Organization 1995
Chen, Rahman & Sarder 1980
World Health Organization 1995
World Health Organization 1995
Islam 1982
Galazka, Gasse & Henderson1989
Fauveau et al. 1990
Fauveau et al. 1990
Galazka, Gasse & Henderson1989
World Health Organization 1995
World Health Organization 1995
World Health Organization 1995
World Health Organization 1995
Baqui et al. 1998
World Health Organization 1995
Perry et al. 1998
Stanfield & Galazka 1984
World Health Organization 1982a
Schwoebel et al. 1992
Reference
Estimated neonatal mortality rates and neonatal tetanus mortality rates, and proportion of all neonatal deaths due to
tetanus, 1953–1995
172
Global Epidemiology of Infectious Diseases
Burma
Burma
Burundi
Cameroon
Cameroon
China
China
China
China
Colombia
Congo
Côte d’Ivoire
D Yemen
Egypt
Egypt
Egypt
Egypt
Egypt
Ethiopia
Ethiopia
Ethiopia
Gambia
Ghana
Ghana
India
India
India
India
India
Rajasthan (rural)
Meerut district
Uttar Pradesh, rural
Madhya Pradesh, rural
Uttar Pradesh, urban
Alexandria
all Egypt
urban
rural
(urban)
North & South Omo
Gondar
Boundiali, Tengrela
300 counties
9 Provinces
rural
urban
non-EPI areas
1985
1985
1984
1982
1984
1989
1989
1989
1989
1961–1966
1988
1981–1982
1978–1983
1980
1986
1986
1986
1981
1988–1989
1983
1988
1980
1989
1992
1993
1991
1981
1981
1981–1982
19
26
16
8
15
34
19
8
12
5
18
45
22
23
18
9
5
8
7
8
6
4
5
2
1100
2
18
4
4
7
2
10
3
7
5
5
11
7
2
17
5
67
20
15
33
21
72
36
59
29
40
63
15
58
20
63
54
53
54
13
19
41
30
Stroh et al. 1987
Stroh et al. 1987
Galazka & Kardymowicz 1989
Galazka & Kardymowics 1989
Galazka & Kardymowics 1989
World Health Organization 1993b
World Health Organization 1993b
World Health Organization 1993b
World Health Organization 1993b
Newell et al. 1996
Steinglass, Brenzel & Percy 1993
Sokal et al. 1988
Stanfield & Galazka 1984
Riyad & El Geneidy 1983
World Health Organization 1987b
World Health Organization 1987b
World Health Organization 1987b
Galazka 1985
Alemu 1993
Galazka, Gasse & Henderson1989
Maru, Getahun & Hosana 1988
Galazka, Gasse & Henderson1989
World Health Organization 1995
World Health Organization 1995
Gupta & Keyl 1998
Garg et al. 1993
Basu & Sokhey 1984
Basu & Sokhey 1984
Galazka 1985
continued
Tetanus
173
1981–1982
1981
1981–1982
1981–1982
1981–1982
1981–1982
1981–1982
1981
1981–1982
1981–1982
1981–1982
1981–1982
1981–1982
1981
1981–1982
1981–1982
1981–1982
1981–1982
Area
Madhya Pradesh,urban
West Bengal, rural
Bihar, rural
Orissa, rural
Haryana, Punjab &
Chandigarh, rural
Andhra Pradesh, rural
Gujarat & Dadra&
Nagar Haveli, rural
Bihar, rural
Bihar, urban
Karnataka & Goa, rural
Tamil Nadu &
Pondicherry, rural
Maharashtra, urban
Maharashtra, rural
Rajasthan, rural
Rajasthan, urban
Haryana, Punjab &
Chandigrarh, urban
Andhra Pradesh, urban
Orissa, urban
India
India
India
India
India
India
India
India
India
India
India
India
India
India
India
India
India
India
Year(s) to
which data
pertain
Neonatal
3
2
5
5
14
3
3
11
5
5
5
7
6
1
12
11
9
8
Neonatal
tetanus
Mortality rates per 1000
live births
18
13
37
16
42
22
26
38
65
24
31
28
17
30
40
38
23
30
Percentage
of neonatal deaths
attributable to
tetanus
Galazka 1985
Galazka 1985
Galazka 1985
Galazka 1985
Basu & Sokhey 1984
Galazka 1985
Galazka 1985
Basu & Sokhey 1984
Galazka 1985
Galazka 1985
Galazka 1985
Galazka 1985
Galazka 1985
Galazka 1985
Basu & Sokhey 1984
Galazka 1985
Galazka 1985
Galazka 1985
Reference
Estimated neonatal mortality rates and neonatal tetanus mortality rates, and proportion of all neonatal deaths due to
tetanus, 1953–1995 (continued)
Country
Table 6.6
174
Global Epidemiology of Infectious Diseases
India
India
India
India
India
India
India
India
India
Indonesia
Indonesia
Indonesia
Indonesia
Indonesia
Indonesia
Indonesia
Indonesia
Indonesia
Indonesia
Indonesia
India
India
India
India
India
India
India
Aceh Province
Pidie District
Jawa Barat
central Java
rural
Jakarta
19 of 27 provinces
urban
Goa, urban
Delhi, urban
West Bengal, urban
Tamilnadu & Pondicherry,
urban
rural
urban
Bombay
rural Haryana
Aligarh
Guna
JJ colonies
Resettlement colonies
total
Gujerat, Dadra, Hagar
Haveli, urban
Kerala, rural
Kerala, urban
Karnakaka &
1978–1983
1978–1983
1973–1974
1986
1989–1990
1986
1990
1990
1982
1972
1979
1980
1982
1982
1983
1983
1984
1984
1984
1986
1981–1982
1981–1982
1981–1982
1981–1982
1981–1982
1981–1982
1981–1982
39
60
17
21
17
49
51
37
19–93
5–26
1320
4
12
5
4
0
8
11
23
12
7
11
17
17
21
32
15
3
5–67
0–15
1
1
0
2
2
2
2
54
54
51
40
46
29
14
16–72
0–59
30
10
6
0
36
22
14
10
Stanfield & Galazka 1984
Stanfield & Galazka 1984
Bhat, Joshi & Kandoth 1979
Kumar et al.1988
Khalique, Sinha & Yunus 1993
World Health Organization 1995
World Health Organization 1995
World Health Organization 1995
World Health Organization 1995
World Health Organization 1982a
World Health Organization 1982a
World Health Organization 1982a
Arnold, Soewarso & Karyadi 1986
Arnold, Soewarso & Karyadi 1986
Galazka, Gasse & Henderson1989
World Health Organization 1995
Yusuf, Solter & Bertsch 1991
Yusuf Solter & Bertsch 1991
Arnold & Soewarso 1986
World Health Organization 1995
Galazka 1985
Galazka 1985
Galazka 1985
Galazka 1985
Galazka 1985
Galazka 1985
Galazka 1985
continued
Tetanus
175
Kenya
Lao PDR
Lesotho
Lesotho
Liberia
Pidie District
rural
urban
total
Fars Province
Sepidan district
Eqlid district
Firouzabad district
Kazeroun district
Neireez district
total
Indonesia
Indonesia
Indonesia
Iran (Islamic Republic of)
Iran (Islamic Republic of)
Iran (Islamic Republic of)
Iran (Islamic Republic of)
Iran (Islamic Republic of)
Iran (Islamic Republic of)
Iran (Islamic Republic of)
Iran (Islamic Republic of)
Jordan
Kenya
Kenya
Kenya
Kenya
Kenya
Meru
Kisii, Meru, Tana Districts,
Rural
Kilifi
Kisii
Meru
Area
1989
1985
1986
1989
1984–1985
1987
1978–1983
1978–1983
1985
1986
1986
1986
1986
1986
1986
1986
1983
1983
1984
1984–1985
1986
1988
Year(s) to
which data
pertain
4
80
21
16
29
21
17
21
18
24
6
14
29
16
18
7
10
16
16
14
13
Neonatal
3
4
4
0
15
5
11
7
5
6
13
0
6
6
6
6
2
6
11
11
4
8
Neonatal
tetanus
Mortality rates per 1000
live births
0
19
20
25
17
51
40
24
34
54
0
43
19
38
34
13
59
71
69
25
70
Percentage
of neonatal deaths
attributable to
tetanus
Bjerregard, Steringlass & Mutie 1993
Galazka & Kardymowiscz 1989
Galazka & Kardymowiscz 1989
World Health Organization 1995
Becker, Diop & Thornton 1993
Yusuf, Solter & Bertsch 1991
Stanfield & Galazka 1984
Stanfield & Galazka 1984
Galazka, Gasse & Henderson1989
Hasanabadi 1987
Hasanabadi 1987
Hasanabadi 1987
Hasanabadi 1987
Hasanabadi 1987
Hasanabadi 1987
Hasanabadi 1987
Galazka, Gasse & Henderson1989
World Health Organization 1995
World Health Organization 1995
Melgaard, Mutie & Kimani 1988
World Health Organization 1995
Melgaard, Mutie & Kimani 1988
Reference
Estimated neonatal mortality rates and neonatal tetanus mortality rates, and proportion of all neonatal deaths due to
tetanus, 1953–1995 (continued)
Country
Table 6.6
176
Global Epidemiology of Infectious Diseases
Pakistan
Nepal
Niger
Nigeria
Nigeria
Nigeria
Nigeria
Pakistan
Pakistan
Pakistan
Pakistan
Pakistan
Pakistan
Liberia
Madagascar
Madagascar
Malawi
Malawi
Malawi
Mexico
Mexico
Mexico
Mexico
Nepal
Nepal
Nepal
Nepal
Nepal
Punjab, North West Frontier Province
Punjab
rural: agricultural
urban slum
Kwara State
Kano
Kano
Ile Ife
Morang District
Dhanusa
4 districts (Dang, Kapilaspu,
Panchthar, Sindhuli)
Dang district
Lilongwe District, rural
Jalisco, rural
Veracruz, rural
Veracruz, urban
Veracruz
Terai
rural
urban
1987
1991
1989
1988
1989–1990
1990
1991–1995
1978–1983
1981
1981
1981
1984
1986–1987
1986–1988
1989
1989
1978–1983
1990
1991
1988
1988–1989
1988–1989
1988–1989
1980
1982
1988
1990
1983
14
11
4
31
32
34
18
28
4
52
52
57
41
30
30
9
9
12
21
21
4
4
2
3
15
24
4
10
22
6
8
1
12
5
22
26
19
8
4
7
37
44
19
33
88
20
7
29
29
36
68
68
24
60
60
60
45
39
33
28
20
50
50
43
39
55
23
27
7
38
18
41
Galazka & Kardymowicz 1989
World Health Organization 1995
World Health Organization 1995
Babaniyi & Parakoyi 1991
Eregie 1993
Eregie 1993
Davies-Adetugbo, Tomimiro & Nai 1998
Stanfield & Galazka 1984
World Health Organization 1982b
Stanfield & Galazka 1984
Stanfield and Galazka 1984
Galazka 1985
Khan & Hardjotanajo 1989
Becker, Diop & Thornton 1993
WHO 1995
WHO 1995
Stanfield and Galazka 1984
Ministry of Health, Malawi 1991
Chiomba 1991
Fidler et al 1994
Ayala et al 1995
Ayala et al 1995
Ayala et al 1995
Galazka, Gasse & Henderson1989
Galazka, Gasse & Henderson1989
World Health Organization 1995
World Health Organization 1995
World Health Organization 1995
continued
Tetanus
177
Sudan
Sudan
Sudan
Sudan
Sudan
Sudan
Sudan
Sudan
Sudan
Non-Punjab areas
Punjab
rural: cattle/horse raising
Pakistan
Pakistan
Pakistan
Pakistan
Philippines
Somalia
Somalia
Somalia
Somalia
Sri Lanka
Sri Lanka
Sri Lanka
Sudan
Nationwide, north and
south
Nationwide, rural
Nationwide, urban
North, rural
North, semi-urban
North, urban
North, urban+rural
South, rural
South, urban
South, urban+rural
2 villages
Kalutara
Anuradhapura
Balad, Mogadishu
Area
1981
1981
1981
1981
1981
1981
1981
1981
1981
1990
1990
1981
1988
1978–1983
1978–1983
1981
1981
1987–1989
1982
1984
1984
1981
Year(s) to
which data
pertain
31
14
21
20
14
19
38
14
35
29
91
48
8
15
58
21
13
91
Neonatal
10
5
5
10
5
5
13
5
12
21
38
<1
1
1
9
42
12
6
21
Neonatal
tetanus
Mortality rates per 1000
live births
31
35
28
50
38
31
33
32
33
32
73
58
48
23
49
23
80
6
7
Percentage
of neonatal deaths
attributable to
tetanus
Olive, Gadir El Sid & Abbas 1982
Olive, Gadir El Sid & Abbas 1982
Olive, Gadir El Sid & Abbas 1982
Olive, Gadir El Sid & Abbas 1982
Olive, Gadir El Sid & Abbas 1982
Olive, Gadir El Sid & Abbas 1982
Olive, Gadir El Sid & Abbas 1982
Olive, Gadir El Sid & Abbas 1982
Olive, Gadir El Sid & Abbas 1982
Dietz et al. 1996
Dietz et al. 1996
Stanfield & Galazka 1984
World Health Organization 1995
Stanfield & Galazka 1984
Stanfield & Galazka 1984
Aden & Birk 1981
Galazka & Kardymowicz 1989
Ibrahim 1996
World Health Organization 1995
Galazka & Kardymowicz 1989
De Silva 1984
Olive, Gadir El Sid & Abbas 1982
Reference
Estimated neonatal mortality rates and neonatal tetanus mortality rates, and proportion of all neonatal deaths due to
tetanus, 1953–1995 (continued)
Country
Table 6.6
178
Global Epidemiology of Infectious Diseases
Nigeria
Nigeria
Senegal
Singapore
Singapore
South Africa
Uganda
Hospital-based data
Sudan
Syrian Arab Republic
Syrian Arab Republic
Tanzania
Tanzania
Thailand
Thailand
Thailand
Thailand
Thailand
Togo
Tunisia
Tunisia
Tunisia
Uganda
Uganda
VietNam
VietNam
VietNam
VietNam
VietNam
Yemen
Yemen
Zaire
Zaire
Zambia
Zimbabwe
Calabar
Calabar
Niakhar rural
Pai-Kongila
Binh Tri Thien
Han Giang
Vinh Phu
Mbale District
3 regions
rural
urban
rural
rural
Zanzibar
Central Sudan
1983–1986
1984–1987
1983–1986
1960
1970
1953–1955
1985–1989
1989–1990
1981
1990
1988
1989
1953–1957
1978–1983
1993
1980
1991
1984
1988
1988
1988
1984
1990
1985
1989
1989
1989
1989
1984
1978–1983
1983
1984
1986
1983
51
12
14
10
21
11
11
21
8
12
38
16
12
13
3
7
8
19
31
9
11
16
21
20–36
15
16
5
1
6
3
0
1
15
6
2
5
1
3
3
4
3
9
1
4
4
6
5
1
2
1
6
5
31
49
31
45
74
14
40
7
30
39
25
9
38
23
6
23
22
52
14
4
10
40
42
16
39
50
38
40
20
8
29
Antia-Obong & Ikpatt 1991
Asindi, Ibia & Udo 1994
Leroy & Garenne 1991
Chen 1973
Chen 1973
Miller 1972
Bwire & Kawuma 1992
Taha, Gray & Abdelwahab 1993
Khan & Hardjotanajo 1989
World Health Organization 1995
World Health Organization 1995
World Health Organization 1995
Stahlie 1960
Stanfield & Galazka 1984
Chongsuvivatwong, Impat & Tayakkanonta 1993
World Health Organization 1982a
World Health Organization 1995
Galazka & Kardymowiscz 1989
World Health Organization 1995
World Health Organization 1995
World Health Organization 1995
Galazka & Kardymowiscz 1989
World Health Organization 1995
Galazka & Kardymowiscz 1989
Thanh et al. 1990
Thanh et al.1990
Thanh et al. 1990
Thanh et al. 1990
Galazka & Gasse 1995
Stanfield & Galazka 1984
World Health Organization 1987a
World Health Organization 1995
World Health Organization 1995
Galazka & Kardymowiscz 1989
Tetanus
179
180
Global Epidemiology of Infectious Diseases
Estimated morbidity and mortality due to tetanus
Estimated morbidity and mortality attributable to neonatal tetanus
There are no valid reported data on neonatal tetanus morbidity and mortality because of the variable (and generally low) notification efficiency
associated with tetanus cases (Table 6.5). Knowledge of the magnitude of
neonatal tetanus mortality increased greatly with the conduct of community
surveys in the 1980s. More than 40 developing countries, including 18
of the 25 most populous countries, undertook special community-based
surveys to measure the neonatal tetanus mortality (Basu & Sokhey 1984,
Galazka & Stroh 1986) (Table 6.6). Neonatal tetanus mortality rates
ranged from 1–2 per 1000 live births in Jordan, Sri Lanka and Tunisia to
67 per 1000 live births in some areas in India. Based on these studies, it
was estimated in 1987 that, globally, approximately 800 000 newborns
die every year from tetanus (Galazka & Kardymowicz 1989). By exposing
the magnitude of neonatal tetanus mortality, the community-based surveys
were critically important in providing baseline information, in changing
the perception of health policy makers and in generating political support
for the control of neonatal tetanus. Surveys of mortality were repeated in
some countries in the late 1980s or early 1990s, and the results generally
suggest decreasing neonatal tetanus mortality rates and a lower proportion
of neonatal tetanus deaths among total neonatal mortality (Table 6.6).
Using the results of these mortality surveys, a methodology was developed by the WHO to estimate the number of neonatal tetanus deaths and
cases still occurring in the presence of tetanus toxoid immunization and
clean delivery practices. Each country is assigned a pre-immunzation era
mortality rate for neonatal tetanus, using data from the first communitybased neonatal tetanus mortality survey in the country. In the absence of
a survey, countries are assigned rates based on the surveys done in neighbouring countries at similar risk. This rate is multiplied by the country’s
annual number of live births to calculate a baseline number of neonatal
tetanus deaths that would occur without tetanus toxoid immunzation
activities.
Using a country’s most recent and reliable coverage estimates for two
or more doses of tetanus toxoid in pregnant women (TT2+) and assuming
a vaccine efficacy of 95 per cent, the annual number of neonatal tetanus
deaths which would occur is estimated. Specifically, TT2+ coverage data
and assumed vaccine efficacy are used to estimate the number of births
that would still be susceptible to neonatal tetanus NT in the presence of
tetanus toxoid immunization activities. The number of susceptible births
is then multiplied by the baseline neonatal tetanus mortality rate assigned
to that country to obtain an estimate of the number of neonatal tetanus
deaths. This result is subtracted from an estimate of neonatal tetanus deaths
using the same method but assuming no tetanus toxoid immunization to
determine the annual number of neonatal tetanus deaths prevented by
immunization services.
The same method is not used for estimates in countries achieving at
Tetanus
181
least 70 per cent coverage with clean delivery practices. It is assumed that
a health system able to achieve such a high level of clean delivery coverage would also have a surveillance system with data reliable enough to
be adjusted and used to derive an estimate of neonatal tetanus cases. For
most of the countries in this category, the notification efficiency of the
surveillance system is assumed to be about 33 per cent and the number of
neonatal tetanus cases reported is therefore multiplied by three.
Assumed case fatality ratios are applied to derive neonatal tetanus death
estimates from the neonatal tetanus case estimates, or vice versa (depending on which method was used). A CFR of 90 per cent is used for least
developed countries, 80 per cent for developing countries, 60 per cent for
countries with economies in transition, and 40 per cent for countries with
developed market economies.
This method was used to produce an estimate of 446 000 neonatal
tetanus deaths in 1990, excluding China. A rough estimate of 18 000 tetanus deaths was made for China assuming a neonatal tetanus incidence rate
of 1 per 1000 live births and a case fatality ratio of 80 per cent. Including
China, an estimated total of 464 000 deaths occurred in 1990 that were
attributable to neonatal tetanus.
Estimated morbidity and mortality attributable to non-neonatal tetanus
There are no reliable data showing the real magnitude of non-neonatal
tetanus globally. It was estimated that in the 1980s, 120 000 to 300 000
deaths attributable to non-neonatal tetanus occurred each year in the
world, excluding China (Rey & Tikhomirov 1989). Estimates of nonneonatal tetanus cases occurring in developing countries are derived from
estimates of neonatal tetanus cases and a general assumption that in 1990
the latter accounted for approximately 80–85 per cent of all cases under
five years of age, although in reality this proportion varies according to the
level of childhood immunization against tetanus. With this assumption, an
estimate was derived of tetanus cases among children under five years of
age. Tetanus cases were then assigned to older age groups by extrapolation,
according to an estimated age distribution based on reported age-specific
distributions and age-specific population immunity (Rey & Tikhomirov
1989, Galazka & Gasse 1995).
For countries with developed market economies and economies in transition (i.e. former Soviet Union countries), reported tetanus cases and a 75
per cent notification efficiency were used to derive the estimated numbers
of tetanus cases. Once estimated cases were calculated, case fatality ratios
were applied by age group and income level to estimate deaths (Table
6.7). Based on these methods, we estimated that 155 000 cases and 78
000 deaths occurred in 1990 as result of non-neonatal tetanus. The total
estimated burden for tetanus (both neonatal and non-neonatal) in 1990
was 542 000 deaths.
163 402
Total
CFR = case fatality rate.
90 631
24 213
17 796
14 435
8 025
3 760
2 325
2 217
Est. no. of cases
51
50
50
50
50
55
60
65
65
Est. CFR (%)
83 159
45 315
12 107
8 898
7 218
4 414
2 256
1 511
1 441
Est. no. of deaths
Developing and least developed countries
1 167
12
0
35
58
58
350
350
303
Est. no. of cases
44
25
25
30
40
50
50
25
Est. CFR (%)
510
3
0
9
15
18
140
175
152
Est. no. of deaths
Countries with established market economies
and economies in transition
164 568
90 642
24 213
17 831
14 494
8 083
4 110
2 675
2 521
Total estimated
number of cases
83 670
45 318
12 107
8 907
7 232
4 431
2 396
1 686
1 593
Total estimated
number of deaths
Estimated number of non-neonatal tetanus cases and deaths by age in developing and developed countries, 1990
<5
5–14
15–29
30–44
45–59
60–69
70–79
80+
Age in years
Table 6.7
182
Global Epidemiology of Infectious Diseases
Tetanus
183
Updated Estimates
Based on more complete data available since the early 1990s, the estimates
for burden of tetanus in 1990 have since been updated. The estimate for
China was updated based on a review of community surveys conducted in
1993 of tetanus incidence in 300 high risk counties (World Health Organization 1993b). The review team concluded that, based on a neonatal
tetanus mortality rate of 4.2 per 1000 live births, an estimated 90 000
neonatal tetanus deaths were occurring annually in China. We considered
this estimate to be high, since it was based on surveys conducted in high risk
counties only. Using the methods described in this chapter for estimating
the burden of neonatal tetanus and assuming a pre-immunization neonatal
tetanus mortality rate of 3 per 1000 live births, we revised the estimate for
neonatal tetanus for China to 71 000 neonatal tetanus deaths.
With these and other minor updates to some pre-immunization neonatal
tetanus mortality rates assigned to countries, we estimated that 427 000
neonatal tetanus deaths and 514 000 cases occurred in 1990. Neonatal
tetanus was the second leading cause of deaths among childhood diseases
prevented by routine immunization services. An estimated 533 000 infant
deaths were prevented through tetanus toxoid immunization and clean
delivery practices in 1990. The updated estimate would suggest a 6 per
cent notification efficiency when compared to the neonatal tetanus cases
reported to WHO for 1990. The Regions with the highest burden in
terms of absolute numbers are Asia and sub-Saharan Africa with 67 per
cent and 28 per cent, respectively, of the total estimated deaths (Figure
6.5). Several small countries of Africa have some of the highest estimated
neonatal tetanus mortality rates (Figure 6.6).
The updates made to the neonatal tetanus model also caused changes
Figure 6.5
Estimated number of tetanus deaths occurring in the world
by WHO region, 1990
Non-neonatal tetanus
WPR
19 000
Neonatal tetanus
WPR
82 000
AFR
180 000
AFR
113 000
AMR
3 000
AMR
9 000
EMR
15 000
SEAR
28 000
EUR
300
SEAR
146 000
EUR
200
EMR
78 000
Estimated neonatal tetanus mortality rate per 1000 live births, 1990
<1
1– 4
>4
Neonatal tetanus
mortality rate per
1000 live births
Figure 6.6
184
Global Epidemiology of Infectious Diseases
Tetanus
185
in the non-neonatal tetanus estimates (since the model for the latter is
based on the former). The updated estimates for non-neonatal tetanus in
1990 are 165 000 cases and 84 000 deaths. For China, we assumed that
only about one-third of all tetanus cases were non-neonatal because of
the high infant immunization coverage levels already being achieved in
1990 relative to the low level of tetanus protection at birth. In all, 70 per
cent of all non-neonatal deaths were estimated to occur in India and other
Asian countries, and 24 per cent in sub-Saharan Africa.
In summary, based on updated estimates, an estimated 679 000 cases
and 511 000 deaths occurred worldwide as a result of tetanus (both neonatal and non-neonatal) in 1990.
Estimated morbidity and mortality by age
The age distribution of tetanus cases and age-specific case-fatality ratios
are different for the developing and industrialized world. In industrialized
countries, a neonatal tetanus case is a rare event and non-neonatal tetanus
is limited to older persons. In developing countries, neonatal tetanus continues to be an important cause of preventable morbidity and mortality.
Non-neonatal tetanus also takes a terrible toll, especially in younger segments of the population. It is estimated that in 1990 about 70 per cent of
all non-neonatal tetanus cases and deaths occurred among persons under
15 years of age. The large majority of these cases and deaths occurred in
developing countries (Table 6.7).
Conclusions
Tetanus is a preventable disease. Maternal and neonatal tetanus could be
eliminated through the immunization of women to produce and maintain
immunity against tetanus during their childbearing years and through
clean delivery and umbilical stump care practices. A review of empirical
studies and simulations concluded that tetanus immunization is highly
cost-effective and an effective means of reducing infant mortality in the
developing world (Steinglass, Brenzel & Percy 1993). Providing tetanus
toxoid during pregnancy is the most cost-effective tetanus immunization
strategy in developing countries, particularly when it is targeted at high-risk
populations (Cvjetanovic et al. 1972). To protect the rest of the population
from wound tetanus, the strategy of first choice includes immunization
in infancy and early childhood, reinforced by booster doses as part of a
school health programme.
In 1989, recognizing the magnitude of neonatal tetanus incidence and
the fact that the disease is preventable through simple interventions, the
World Health Assembly resolved to eliminate neonatal tetanus from the
globe by 1995. This goal was reaffirmed at the World Summit for Children
in 1991. The definition of neonatal tetanus elimination is the achievement
of less than one case of neonatal tetanus per 1000 live births in every
district of every country.
186
Global Epidemiology of Infectious Diseases
Immunisation with tetanus toxoid
For previously non-immunized women, the WHO recommends an immunization schedule consisting of five doses of adsorbed tetanus toxoid (TT) be
given to women of childbearing age, and especially to pregnant women. In
developing countries, TT coverage among pregnant women has progressed
slowly (Figure 6.3). Between 1990 and 1995, coverage with at least two
doses of TT rose from 43 per cent to 49 per cent in developing countries
and of the former Soviet Union, a pace too gradual to eliminate neonatal
tetanus by 1995. By 1995, China, the world’s most populous country,
had only begun widespread TT immunization by targeting all women of
child-bearing age in 320 counties considered at high risk.
High TT coverage levels are attainable. By 1995, a total of 23 (17 per
cent) of the 135 developing countries which are WHO Member States
reported TT2+ coverage of at least 80 per cent (Figure 6.7). Coverage with
TT immunization in developing countries may rise substantially in the
next few years as China introduces routine TT immunization for pregnant
women. All countries are providing TT-containing-vaccines (DiphtheriaPertussis-Tetanus and Diptheria-Tetanus) in their immunization services
for children. Globally, according to WHO/UNICEF estimates, 72 per cent
of infants received a primary series of three doses of DPT vaccine in 1995.
There are, however, considerable differences in immunization coverage
between regions, countries and areas within individual countries (Table
6.8).
Clean delivery practices
Over the past decade, many developing countries have concentrated on
training traditional birth attendants, providing home delivery kits and
Table 6.8
Percentage of children immunized in the first year of life with
3 doses of DTP vaccine and percentage of pregnant women
immunized with at least 2 doses of tetanus toxoid, by WHO
Region, 1993
WHO region
African Region
Eastern Mediterranean Region
European Region
Region of the Americas
South East Asia Region
Western Pacific Region
Global
No. of countries providing data
% of global population represented by reporting
countriesa
3 doses of DTP
vaccine
At least 2 doses of
tetanus toxoid
51
65
84
81
64
91
72
1730
35
50
77
43
77
21
49
107
98
88
a. For tetanus toxoid, this figure represents the percentage of the population from developing countries and
countries of the Former Soviet Union only.
b. Based on WHO/UNICEF estimates based on official country reports.
Reported coverage with at least two doses of tetanus toxoid among pregnant women, 1995
Source: World Health Organization 1996
No data
<50%
50%–79%
≥80%
TT2+ coverage
Figure 6.7
Tetanus
187
188
Global Epidemiology of Infectious Diseases
educating pregnant women about the “three cleans” (clean hands, clean
delivery surface and clean cord care). Operational research has shown
that training traditional birth attendants alone can reduce both the total
neonatal death rate and neonatal tetanus death rate (Mangay-Angara 1981,
Rahman 1982). It was found that total neonatal mortality was reduced
more by training traditional birth attendants than by immunizing against
tetanus, although immunzation alone was more effective in reducing the
incidence of neonatal tetanus (Rahman 1982).
The results of a small number of nationwide surveys are available to
estimate global and regional coverage rates with clean delivery, defined
as those with a trained attendant present (World Health Organization
1996). The latest regional and subregional estimates show that countries
in Latin America have the highest rates of maternity care coverage in the
developing world, 75 per cent of women having a skilled person attending
at delivery, followed by 53 per cent in Asia, 52 per cent in Oceania, and
42 per cent in Africa (World Health Organization 1996).
Priority activities to eliminate neonatal tetanus
The first priority for all countries where neonatal tetanus is endemic is to
identify foci of high neonatal tetanus risk so that women of child-bearing
age in these foci can be immunized with tetanus toxoid. Implementing
intensified immunization activities in such high risk areas will rapidly
reduce the incidence of neonatal tetanus. Meanwhile, longer term strategies
should be put in place to achieve and sustain high levels of routine tetanus
immunization as well as clean delivery services and umbilical stump care,
particularly among those most at risk.
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Chapter 7
Leprosy
D Daumerie
Introduction
Leprosy is an infectious disease caused by Mycobacterium leprae. Humans
are considered to be the main reservoir, and the main mode of transmission is droplet dispersion from multibacillary cases. The clinical spectrum
of leprosy varies from a single skin patch that may heal spontaneously to
widespread damage to nerves, bones, eyes and vital organs. The disease
may produce severe mutilation of the face and extremities, making the
psychological trauma of leprosy patients as important as the physical
suffering. The onset of leprosy is usually gradual, and the first signs may
appear 2 to 10 years after infection (Godal & Negassi 1973, Prasad &
Mohamed Ali 1967).
According to the cellular immune response to the infectious agent, the
number of bacilli that patients harbour may vary from less than 1 million
(paucibacillary leprosy or PB) to more than 100 billion (multibacillary
leprosy or MB). Before the days of chemotherapy, the duration of illness
was almost lifelong. With the introduction of multidrug therapy (MDT),
the duration of the disease has been drastically reduced to less than 1 year
for PB patients and less than 3 years for MB patients (World Health
Organization 1988). Although the fatality rate is negligible in leprosy (less
than 1 per 1000, Noordeen 1972), the occurrence of severe disabilities has
important consequences. The disability and economic loss, together with
the social and psychological problems the patient suffers, are a burden for
many communities and societies.
A first attempt to estimate the global leprosy burden was made by the
World Health Organization in 1966 (Bechelli & Martinez-Dominguez
1966): the estimated total number of cases in the world was 10 786 000.
This figure was updated in 1972 and 1976 and again in 1983 and has varied
from 10 to 12 million. Estimated prevalence was based on cross-sectional
random sample surveys in the most endemic countries, complemented by
questionnaires for less endemic countries. For each country, a correction
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factor was applied. Correction factors were derived from reliable information available from a limited number of areas, information on prevalence
among children, prevalence of deformities and rapid village surveys.
Definition and measurement
Leprosy is defined as a chronic human disease resulting from infection with
Mycobacterium leprae, which affects mainly nerves and skin. This definition has not changed over time but is of very little use for epidemiological
studies (Pannikar 1992).
The definition of a case of leprosy is not universally accepted (Fine
1982, 1992). This is because there is no “gold standard” to identify leprosy infection in the large majority of patients (Sirumban et al. 1988). The
diagnosis of leprosy is mainly based on clinical grounds and therefore lacks
specificity, notwithstanding intra-observer and inter-observer variations
(Gupte et al. 1990, Ponnighaus & Fine 1988).
Newell (1966) said “there is no definite, finite or absolute test, sign
or finding which can be said to divide a person with leprosy infection or
leprosy illness from the rest of the population”. Clinical, bacteriological,
histopathological and immunological tools are all unsatisfactory with
regard to reaching a high positive predictive value for screening leprosy
in the community.
In view of the above, the WHO has proposed an operational definition of a case of leprosy as “a person showing clinical signs of leprosy,
with or without bacteriological confirmation of the diagnosis, and requiring chemotherapy”. (World Health Organization 1988). This definition
excludes individuals cured of the infection but having residual disabilities
attributable to leprosy.
The classification of various forms of leprosy is also very controversial.
For operational purposes, the WHO has proposed classifying patients
Box 7.1
ICD 9
030.9
030.0
030.1
Categories relating to leprosy in the International Classification of Diseases
Leprosy
Lepromatous leprosy
Tuberculoid leprosy
ICD 10
A30
A30.0
A30.1
A30.2
A30.3
A30.4
A30.5
A30.8
A30.9
B92
Leprosy
Indeterminate
Tuberculoid
Borderline tuberculoid
Borderline
Borderline lepromatous
Lepromatous
Other forms
Unspecified
Sequelae of leprosy
Leprosy
203
as either paucibacillary or multibacillary leprosy cases (World Health
Organization Study Group 1985). The paucibacillary group will include
smear-negative, indeterminate, tuberculoid, and borderline tuberculoid
cases. The multibacillary group will include all smear-positive cases.
Most of the endemic countries use the operational definitions proposed
by WHO for the preparation of annual reports (Lechat, Mission & Walter,
1981). This has greatly contributed to standardizing information, but can
make the comparison of time series difficult, particularly with information
collected before the 1980s.
With regard to disabilities caused by leprosy, the situation is more
complex and several grading systems have been developed. In 1969, the
WHO proposed a simple classification, which was modified in 1988. The
WHO’s 3-grade classification (see Box 7.3) is a simple tool allowing rapid
assessment of the problem in the field.
Data sources
In many parts of the world, sample surveys and even total population surveys have been conducted to assess the magnitude of the leprosy problem
at national level (Burkina Faso, India, Indonesia, Myanmar). These surveys
were very useful in enabling a better understanding of the distribution of
the disease, and in standardizing procedures. They were acceptably costeffective (manageable sample size) when prevalence of the disease was
about 1 per cent. Prevalence and incidence of leprosy are, however, decreasing in most endemic countries, and surveys have become too expensive,
time-consuming and often inadequate (Jesudasan et al. 1984). Statistical
methods to assess small rates, especially for very unevenly distributed
events, are less robust. For these reasons, sample surveys are conducted
only in special situations and in limited places, mainly for research purposes. But the results of such surveys do not help in estimating the leprosy
problem at national or global levels (Fine 1981).
Since 1985, the leprosy situation has undergone major changes following the widespread introduction of multidrug therapy (MDT) (World
Health Organization Study Group 1982). With the implementation of the
global strategy for elimination of leprosy as a public health problem, it was
decided to use existing information and to improve existing information
systems in order to update estimates annually (Noordeen, Lopez Bravo
& Sundaresan, 1992).
Recent information on registered cases shows that 25 countries contribute nearly 95 per cent of all registered cases in the world (International
Federation of Anti-Leprosy Associations 1993, Noordeen, Lopez Bravo &
Daumerie 1991). Therefore, in order to make a reasonably reliable global
estimate of the prevalence of the disease, greater attention has been given
to making estimates for those 25 countries by a complete review of information on registered cases. In general, estimates are obtained by applying
correction factors to registered cases, in addition to extrapolating from
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other related information provided by the WHO and using results from
the most recent total or random-sample population surveys.
Most of the information available on the leprosy burden in the world is
based on registration. Annual reports from most endemic countries provide
point prevalence, annual detection, treatment coverage and number of
patients released from registers. Some countries provide more details, such
as age-specific detection (under 15 years of age or adults), the proportion
of multibacillary patients among new cases and the proportion of disabled
patients (WHO classification, grade 2, see Box 7.3) among new cases.
Information generated by national information systems is supplemented
by:
 surveys (total population surveys, selected population surveys, random
sample surveys);
 WHO questionnaires;
 regular evaluations of national programmes;
 reports from various consultants;
 prospective studies for research purpose (such as the vaccine trials in
India, Venezuela and Malawi).
It is clear that data collected by control programmes are mainly actionoriented and provide limited information on the epidemiological pattern
of the disease (Fine 1992). More detailed information is collected through
special studies. In addition, epidemiometric modelling, as developed by
Lechat et al. (1986) is used for a better understanding of transmission of
the disease and the impact of control measures. A new leprosy simulation
model is being developed in India to enable the best use to be made of
existing information, to validate estimates, and to predict future leprosy
trends according to various control strategies.
Estimation Methods
Leprosy estimates at the global level are coordinated by the WHO.
Although these estimates are crude, they have nevertheless been found to
be useful for planning purposes and for setting priorities.
Estimates of prevalence are based on the operational case definition
of leprosy, i.e. on the number of cases requiring chemotherapy. Greater
attention is given to the most endemic countries, using the following
methods:
 systematic review of all available information, including re-examination
of registered cases in Brazil, India, Madagascar, Nigeria, Sudan (Rao
& Sirumban 1990);
 review of latest epidemiological surveys;
 discussion with national programme managers;
Leprosy
205
 making estimates based on registered figures at country level, follow-
ing the guidelines outlined in Box 7.2 (World Health Organization
1994b).
Information on incidence of leprosy is very limited. Some prospective
studies are carried out in highly endemic areas for research purposes; however, the results cannot be used for extrapolation to country or regional
levels.
Considering the major difficulties in assessing the incidence of leprosy
(case definition, incubation period, age at onset, delay between onset and
detection), incidence is not estimated and it is assumed that reported detection reflects incidence.
Age-specific incidence and prevalence
Detailed information is not available on the age-specific incidence and
prevalence of leprosy. Some programmes report the proportion of children
(0–14 years) among newly detected cases. For the purpose of making
the estimates given here, the following assumptions were made, based
on a number of studies (Brubaker, Meyers & Bourland 1985, Irgens &
Skjaerven, Becx-Bleumink 1992, Ponnighaus et al. 1994) and on other
expert opinion.
 In endemic countries (crude prevalence above 1 per 10 000 population)
1 per cent of incident and prevalent cases are found in the 0–4 year age
group, 20 per cent in the 5–14 year age group, 60 per cent in the 15-44
year age group, 15 per cent in 45–59 year age group and 4 per cent in
over-60 year age group, as reported by Noordeen during the dapsone
era (before 1981). For the MDT era (after 1981), the distribution is
as follows: 0 per cent, 18 per cent, 64 per cent, 20 per cent, 9 per cent
(Ponnighaus et al. 1994).
 In non-endemic countries, most of the incident and prevalent cases are
from age groups over 45 years. This assumption is based on observations in China, Norway and the United States of America.
Age at onset for each age group
Most of the available information refers to age at detection for two age
groups: 0–14 years; and 15 years and above. In this report, age at onset
is estimated by using the median age of the age group.
Sex-specific incidence and prevalence
In the past, in many parts of the world, males were reported to be more
frequently affected by leprosy than females. Sex difference in leprosy is
often attributed to ascertainment bias, and it seems reasonable to assume
that the risk is equal for males and females. For this reason, tables for
each region do not show sex distribution, and specific rates will vary only
according to the size of population by sex.
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Box 7.2
Method for estimating leprosy prevalence based on
registered figures at country level
Step 1
List all areas of the country. An area is defined using administrative, geographical or
operational criteria.
Step 2
For each area, indicate the registered prevalence, detection, the year of multidrug therapy
(MDT) implementation, and the year of 100 per cent MDT coverage. Calculate the prevalence-to-detection ratio.
Step 3
For each area, assess the situation and apply the appropriate score, as follows.
Score 1
No leprosy control and no information available in the area.
Score 2
MDT has not been implemented (MDT coverage below 20 per cent), and the
prevalence-to-detection ratio is equal to or above 5.
Score 3
MDT has not been implemented (MDT coverage below 20 per cent), and the
prevalence-to-detection ratio is below 5.
Score 4
MDT coverage has been 20 to 100 per cent for less than 5 years.
Score 5
MDT coverage has been about 100 per cent for 5 years or more.
Step 4
Calculate the correction factor. Extrapolation factors are based on experience in implementing MDT in various countries (Sundaresan 1990).
Score 1
Population of the area × prevalence rate of the whole country.
This situation is the most difficult to assess and may reflect:
 the absence of leprosy endemicity;
 the absence of health services;
 a low leprosy control coverage;
 a combination of the above.
The easiest way to estimate the number of potential cases is to apply the existing national prevalence rate to the population of the area. Of course, this is
not very satisfactory and urgent action should be taken to implement leprosy
control activities in such areas.
Score 2
Registered cases in the area × 1.
Very often in this situation the number of registered cases is cumulative. Reviewing registers and re-examining patients would lead to a 50 per cent reduction
in the prevalence, but it could be estimated that an equal number of existing
patients would not have been detected.
Score 3
Registered cases in the area × 2.
Registers have been updated, and the MDT is being implemented. In this situation we generally observed a dramatic increase in detection.
Score 4
Registered cases in the area × 1.5.
MDT is being implemented and the backlog has been reduced.
Score 5
Registered cases in the area multiplication sign × 1.2.
The registered figures are very close to reality, and the correction factor reflects
mainly the delay in detection.
Leprosy
207
Duration of the disease
The duration of the disease is computed using the following assumptions:
 the fatality rate is negligible;
 the self-healing rate is 10 per cent a year for paucibacillary patients
(Sirumban 1988);
 monotherapy treatment cures paucibacillary patients (PB) in 5 years
and multibacillary patients (MB) in 15 years; assuming that 75 per cent
of the patients are PB, the average duration with monotherapy is 7.5
years;
 multidrug therapy (MDT) cures PB patients in 1 year and MB patients
in 3 years so the average duration with MDT is 1.5 years;
 the relapse rate is negligible.
For each region, the duration was computed according to the MDT
coverage (proportion of estimated cases treated with MDT).
Biases and Limitations of Estimates
Crude prevalence and detection rates derived from registered figures are
reasonably accurate. Age-specific and sex-specific indicators are, however,
based only on expert opinion and need to be refined through special studies. Duration of the disease is based on assumptions made according to
the most recent results of research projects on MDT treatment. Assumptions on the natural history of the disease are based on research studies
conducted before 1981 and on epidemiological analysis of information
collected by special programmes.
Prevalence and incidence
Estimates of prevalence and incidence are derived mainly from registered
figures and the primary data are subject to biases arising from various factors: standardization; coverage of information systems; and sensitivity and
specificity of the diagnosis. Efforts were made to standardize definitions
and reporting systems as far as possible, but there is no simple way to
validate the quality of the information. Figures for age-specific prevalence
and incidence were estimated using well-documented studies.
With the introduction of MDT, leprosy trends are changing rapidly
and most likely the risk of infection is also changing. In the context of
declining prevalence, it becomes more difficult to use stable assumptions
(constant risk of infection and exposure).
Duration of the disease
During the past decade, the extensive use of MDT and the improvement
of many leprosy control programmes have led to a drastic revision of the
concepts of the disease. The duration of the disease is still controversial.
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Global Epidemiology of Infectious Diseases
The main issue is that the definition of cure is not universally accepted.
For operational purposes, the WHO recommends that a patient who has
completed an adequate course of MDT should be considered cured. The
question of considering as leprosy patients those who have completed
treatment but who are disabled as a result of the disease, is very much
debated.
Considering that a large majority of incident cases are cured without
disability, it was considered practical to estimate an average duration of
the disease taking into account self-healing rates, cure rates with monotherapy, and cure rates with MDT. The main limitation of this method is
that drop-out rates and survival statistics are not included.
Complications and disabilities after cure
While the estimates relate to cases requiring or receiving chemotherapy,
there are a significant number of patients who have been cured and
discharged from registers but still have residual deformities (WHO classification grade 2, see Box 7.3). This problem is discussed and tentatively
estimated below.
Leprosy Estimates By World Bank Region
The global number of leprosy cases in 1993 was estimated to be about
2.5 million, of which 1.7 million were registered. The same year, about
600 000 new cases were detected.
Sub-Saharan Africa
Leprosy is endemic in most of the sub-Saharan African countries: Cote
d’Ivoire, Chad, Ethiopia, Guinea, Madagascar, Mali, Mozambique, Nigeria, Niger, Sudan, and Zaire. The national authorities in these countries
have reviewed the registered figures and published estimates for 1993. A
correction factor of 1.9 was applied to registered figures. Tables 7.1 and
7.2 summarize the results of the major studies in the region.
India
India contributes 60 per cent of the global leprosy burden. The correction
factor applied to registered figures was 1.2. The disease is not equally
Table 7.1
Detection and prevalence of leprosy in five African countries,
1986–1989
Sample size
12 683
Prevalence
per 100 000
720
Detection
per 100 000
360
Central African Rep. (1986)
6 468
1 370
840
Gabon (1988)
6 227
940
360
Congo (1989)
6 542
940
150
Equatorial Guinea (1989)
6 428
580
110
Country (year)
Cameroon (1986)
Source: Louis et al. (1991).
Leprosy
209
distributed in the country and wide variations in prevalence and incidence
are observed. The first epidemiometric model was based on data collected
in Polambakkam, southern India, and gives an indication of age- and sexspecific incidence as well as mean age at onset. Table 7.3 summarizes the
results of epidemiological studies conducted in southern India. Table 7.4
gives specific incidence rates from Polambakkam in 1967–1971.
China
Leprosy in China is endemic in three south-western provinces. Epidemiological surveillance and specialized services provide accurate information,
and the correction factor applied to registered figures was 1.25.
Other Asia and Islands
The most endemic countries in this region are Bangladesh, Indonesia,
Myanmar, Nepal, Philippines, and Viet Nam.
Latin America and the Caribbean
Brazil is the most endemic country in this region. Motta & Zuniga (1990)
predicted the trend of incidence in Brazil based on actual detection rates
from 1950 to 1983. The results are summarized in Table 5.
Table 7.2
Detection rates per 1000 by age and sex in five African
countries
Age (Years)a
15–19
20–24
25–29
30–39
40–49
>50
2.0
2.0
5.0
1.3
5.7
2.8
5.5
3.0
6.0
7.5
6.5
5.5
Male
Female
a. People 0–14 years of age not included in the sample.
Source: Louis et al. (1991).
Table 7.3
Detection by age group and type of leprosy in four districts,
India, 1993
Under 15 years of age Age 15 years and over,
(number detected)
(number detected)
District
Chenglepet
PB
MB
Detection rate per 1 000
PB
MB
PB
MB
Total
—
—
—
—
—
—
1.64
Chittoor
(total population)
1 738
381
1 044
27
—
—
1.05
North Arcot
(total population)
2 416
10
3 582
651
1.18
0.13
1.31
Visakhapatnam
(total population)
(0.8)a
(0.0)a
(0.8)a
(0.1)a
0.80
0.10
0.90
a. Detection rate per 1000.
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Table 7.4
Global Epidemiology of Infectious Diseases
Incidence rates by age, sex and type of leprosy, Polambakkam,
India, 1967–1971
Male incidence per 10 000
Female incidence per 10 000
Age group (years)
PB
MB
PB
MB
0–4
5–9
10–14
15–19
20–24
25–29
30–34
35–39
40–44
45–49
50–54
55–59
60–64
65+
5
39
53
36
35
41
42
39
33
32
30
30
21
21
0
3
5
8
9
14
16
18
15
11
10
7
8
3
5
30
32
18
20
28
31
32
30
31
28
28
15
42
0
2
3
3
3
3.5
5
4
5
4
3.5
3
2.5
0
Source: Lechat et al. (1986).
PB = paucibacillary leprosy; MB = multibacillary leprosy.
Table 7.5
Detection rates of leprosy, Brazil: actual rates, 1950 to 1983;
predicted rate, 2000
Year
Detection per 100 000
1950
1973
1978
1983
2000
5.55
7.40
9.87
13.17
35.03
Source: Molta & Zuniga (1990).
Middle Eastern Crescent
Egypt, the Islamic Republic of Iran and Pakistan are the most endemic
countries in this region. Based on a cluster sample survey conducted in
Egypt in 1986, Sundaresan (1986) estimated the age-specific prevalence
(using a case-definition differing from the World Health Organization
definition); the results are shown in Table 7.6.
Estimation of Disabilities Attributable to Leprosy
While disability is an important measure in evaluating the leprosy burden
and the impact of control programmes, data on disabilities are scarce and
not easy to interpret. Most of the epidemiological studies on disabilities
attributable leprosy are based on cross-sectional surveys and give an
indication of the prevalence of visible disabilities. Since the implementation of multidrug therapy, some experts have been collecting information on cohorts of patients, making it possible to estimate the incidence
Leprosy
211
Table 7.6
Age-specific and type-specific prevalence of leprosy in four
Governorates, Egypt, 1986
Prevalance per 1000
Age group (years)
Sample size
PB
MB
4 955
4 431
3 980
3 221
4 502
3 542
2 851
1 880
1 925
—
1.35
2.01
1.24
3.55
1.97
3.50
10.630
8.31
—
—
—
0.62
0.22
2.54
2.80
4.20
8.83
31 2870
2.78
1.43
0–4
5–9
10–14
15–19
20–29
30–39
40–49
50–59
60+
Total
Source: Sundaresan (1986).
of disability. Based on information provided by countries, Bechelli &
Martinez-Dominguez (1966) estimated that globally 3.87 million leprosy
patients had disabilities of all grades, and 2 million of these had severe
disabilities. In 1975, it was estimated that 3.5 million individuals had
been disabled by leprosy (World Health Organization 1976). In 1994, the
World Health Organization (1994b) estimated this number at between 2
and 3 million.
Definition and measurement of disabilities related to leprosy
Recognizing that no single system of grading would meet all requirements,
in 1988 the WHO proposed a simplified 3-grade system of classification
for collecting general data on disabilities or impairments, as shown in
Box 7.3 (World Health Organization 1988).
The International classification of impairments, disabilities and handicaps (World Health Organization 1980) is related more to rehabilitation
Box 7.3
Classification of grades of disability attributable to leprosy
Grade
Hands and feet
Eyes
0
No anaesthesia, no visible deformity
or damage
No eye problem attributable to leprosy, no evidence of visual loss
1
Anaesthesia present, but no visible
deformity or damage
Eye problems attributable to leprosy
but vision not severely affected
as a result of these (vision 6/60
or better, can count fingers at 6
metres)
2
Visible deformity or damage present
Severe visual impairment (vision
worse than 6/60, inability to count
fingers at 6 metres)
212
Global Epidemiology of Infectious Diseases
needs than to the collection of information for epidemiological purposes.
It describes three stages:
 impairment: loss or abnormality of psychological, physiological, or
anatomical structure or function;
 disability: restriction or lack of ability to perform an activity in the
manner within the range considered as normal for a human being;
 handicap: a disadvantage for a given individual, resulting from an
impairment or disability, that limits or prevents fulfillment of a role
that is normal, depending on age, sex, and social and cultural factors
for the individual.
Disability in Leprosy: Magnitude of the Problem
Before the implementation of multidrug therapy
Before the widespread application of MDT, leprosy was generally considered as a lifelong disease, and cross-sectional studies were carried out
to estimate prevalence and risk factors for disabilities. The disability rate,
defined as the proportion of patients disabled at a given point of time,
ranged from 13 to 57 per cent. The most generally observed risk factors
were age, duration of the disease, sex, type of leprosy, occupation, and
treatment.
Results of the most important studies on prevalence of disabilities are
summarized in Table 7.7. Almost all the studies show that the disability
risk is higher for males and for multibacillary patients, and that this risk
Table 7.7
Prevalence of disability among leprosy patients before the
implementation of multidrug therapy: results of various studies
Type of study
Case definition
Results
Country
Reference
Patient survey
WHO
41.5%
Cameroon
37.6%
Nigeria
41.5%
Thailand
Martinez-Dominguez,
Bechelli & Patwary
(1966)
Patient survey
Social & physical
165/465 (35.5%)
India
Noordeen &
Srinivasan (1966)
Retrospective
cohort
WHO
15 869 patients
from 28% in 1956
to 13% in 1978
India
Christian, Jesudasan &
Pannikar (1980)
Patient survey
Deformity
120/1334 (9%)
India
Srinivasan (1982)
Retrospective
cohort
WHO
48/145 (33.1%)
Myanmar
Htoon & Win (1994)
Retrospective
cohort
WHO
229/514 (44.6%)
India
Girdhar et al. (1989)
Retrospective
cohort
WHO
282/1264 (22.3%)
India
Saha & Das (1993)
Patient survey
WHO
8122/14 257 (57%)
China
Zhang et al. (1993)
Leprosy
213
increases with age and duration of the disease. Based on these studies, we
estimate that, before the implementation of MDT, the number of individuals suffering from severe disabilities because of leprosy varied from 1
million to 4 million at any given time.
There is no published literature on the incidence of disabilities attributable to leprosy before 1981. Most leprosy control programmes use the
disability rate at detection as an indirect indicator of the effectiveness of
case-finding activities. This indicator could be used to approximate annual
incidence of disability without interventions. Considering the results of
surveys and the proportion of patients who are already disabled at the
time of diagnosis, we estimate that the crude disability attack rate ranges
from 1 to 3 per 100 person-years.
For modelling purposes, Htoon, Bertolli & Kosasih (1993) estimated
that 16 per cent of individuals affected by leprosy would be permanently
disabled and that all patients will be temporarily disabled, for an average
period of 30 days.
With multidrug therapy interventions
Many experts considered that chemotherapy might increase the incidence
of disabilities, especially while using powerful bactericidal drugs. With the
introduction of MDT and its relative short duration, the occurrence of
reactions—and of subsequent disabilities during and after treatment—was
expected to be high. Nevertheless, data accumulated in the field do not
confirm this expectation. On the contrary, by reducing the duration of
the disease, the incidence and seriousness of leprosy reaction, as well as
the incidence of the disease, MDT has also reduced the overall incidence
of disabilities. This reduction is not entirely attributable to the efficacy of
drugs. Other factors, such as regular monthly contacts with patients, and
improved monitoring and treatment of leprosy reactions in the field, have
also played an important role in this process.
Ponnighaus et al. (1990) have reported a disability incidence of 5 per
1000 person-years in Karonga district (Malawi) and Rao (1994) has
observed a disability incidence of 0.68 per 1000 person-years among
patients treated with MDT. Table 7.8 summarizes the most recent information on the risk of disabilities for patients treated with MDT.
Available information shows clearly that MDT interventions have
significantly reduced the risk of disability. This risk ranges from 1 to 5
per 1000 person–years. It seems that application of MDT prevents the
occurrence of 80–90 per cent of disability.
Situation in 1994
In collaboration with the WHO, the major endemic countries estimated
the disability problem defined according to the WHO grading scheme as
follows:
 number of individuals already disabled at the time of case detection:
214
Global Epidemiology of Infectious Diseases
47 100 (8.4 per cent) of 558 066 cases diagnosed in 34 countries,
accounting for 88 per cent of the leprosy detected globally;
 number of individuals estimated to be disabled because of leprosy:
1 255 700 in 11 countries, representing 72 per cent of the global leprosy
burden.
Based on this information, the WHO estimated that in 1994 the annual
incidence of disability attributable to leprosy was about 100 000, and that
the prevalence of individuals disabled because of leprosy was between 2
and 3 million (World Health Organization 1995).
Burden and intervention
Only severe and permanent physical disabilities have been considered here.
Temporary physical disabilities before and during treatment, reactions
and complications, and the inconvenience of sustaining long-duration
treatment, should be considered in order to estimate the global burden.
Moreover, among all infectious diseases, leprosy has a specific cultural
connotation, and it is difficult to assess the individual social and psychological impact it causes. With or without disabilities, any individual in any
part of the world classified as a leprosy patient will be exposed to social
problems and stigma.
The benefits of leprosy control programmes are very often underestimated. The elimination strategy based on MDT has contributed to an
impressive reduction in the global prevalence. Estimated prevalence was
reduced from 10 million in 1966 to 5 million in 1991, and to 2.5 million
Table 7.8
Impact of multidrug therapy on disability related to leprosy—
prevalence of disability: results of various studies
Type of study
Case definition
Results
Country
Reference
Retrospective
5-year cohort
Modified WHO
1654 patients: 2.9 to
8 per 1000 person
years (average 5
per 1000)
Malawi
Ponnighaus et al.
(1990)
Retrospective
4-year cohort
WHO
12/482 (2.5%)
Malawi
Boerrigter et al.
(1991)
Retrospective
cohort
Nerve damage
87/2161 (4%)
India
Smith (1992)
Retrospective
cohort
Deformity
5655 urban patients:
1.8%
India
Thomas (1993)
India
Rao (1994)
6104 rural patients:
2%
Retrospective
WHO
7- year cohort
2285 patients: 0.68
per 1000 person
years
(MB 6.14, PB 0.19)
MB = multibacillary leprosy; PB = paucibacillary leprosy.
Leprosy
215
in 1993. Many factors have contributed to the reduced leprosy burden,
but it is clear that MDT interventions have had a tremendous impact on
prevalence and thus on the caseload and disabilities. The efficacy and
acceptability of MDT are now very well known to health workers and
the patients themselves. This contributes to increased opportunities for
diagnosis and to reduced stigma. The incidence of the disease is decreasing
in many parts of the world.
Even if it is difficult to measure to what extent MDT contributes to this
reduction, it is clear that secondary and primary resistance to the drugs used
previously would have hampered leprosy control. It is estimated that MDT
has averted 0.5 to 1 million relapses compared to previous interventions.
In India, it is estimated that extensive implementation of MDT will avert
1.2 million cases. Since the implementation of MDT in 1982, about 6.5
million patients have been cured with MDT, including about 2.5 million
old cases (backlog). About 4 million new cases have been detected during
the past 10 years. Assuming that 30 per cent of those patients were already
disabled before starting treatment, we estimate that MDT intervention has
prevented 1 to 2 million people from becoming disabled.
The cost of implementing the elimination strategy varies from US$30 to
US$400 per patient (global average US$100) according to prevalence, the
PB/MB ratio and the existence of a health infrastructure (Htoon, Bestolliz
& Kosasik 1993, World Health Organization 1994). A cost-effectiveness
analysis indicates that the cost per year of healthy life gained (YHLG)
from implementing MDT is very low, from US$10 to US$38 per YHLG
(Htoon, Bertolliz & Kosasik 1993).
Conclusions
Leprosy is a public health problem in terms of widespread occurrence in
the world, its potential to cause permanent progressive disability, and the
social consequences unique to the disease. The significant progress made
in leprosy control enabled most of the endemic countries to reach the goal
of eliminating leprosy as a public health problem (prevalence below one
per 10 000 population) by the year 2000.
Update
The elimination of leprosy as a public health problem (prevalence below
one per 10 000 population) was attained at the global level by the end
of 2000. At the beginning of 2003, the number of leprosy patients in the
world was around 530 000, as reported by 106 countries. About 615 000
new cases were detected during 2002. Among newly detected cases 17 per
cent were children (below the age of 15 years), 39 per cent had MB based on
the clinical classification (more than 5 skin lesions), and 4 per cent presented
grade 2 disability at the time of diagnosis. With a cumulative number of
about 13 million patients cured with MDT, the numbers of relapses remain
216
Global Epidemiology of Infectious Diseases
remarkably low, at less than one case per 1000 patients per year. No drug
resistance following MDT has been reported. The number of countries
showing prevalence rates above 1 per 10 000 population has been reduced
from 122 in 1985 to 12 at the end of 2002. Today, Brazil, India, Nepal,
Madagascar, and Mozambique are the most endemic countries.
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Chapter 8
Dengue and dengue haemorrhagic
fever
James W LeDuc, Karin Esteves, Norman G. Gratz
Introduction
Dengue, a mosquito-borne viral disease, is becoming an increasing public
health problem in developing countries. This was recognized by the WHO,
which confirmed in a resolution at the forty-sixth World Health Assembly
in 1993 that dengue prevention and control should be among the priorities
of the Organization.
Dengue is caused by any of four antigenically and genetically distinct
viruses of the family Flaviviridae, named dengue-1, -2, -3 and -4 (Craven
1991). Humans are the primary vertebrate hosts of these viruses, although
there is evidence of a silent zoonotic cycle involving mosquitoes and monkeys
in parts of Asia and Africa (Rudnick 1965, Fagbami, Monath & Fabiyi 1977,
Rudnick 1984, Cordellier et al. 1983). The Aedes aegypti mosquito is the
principal urban vector (Clark & Casals 1965). Dengue fever is characterized by an abrupt onset of fever, headache, myalgia, loss of appetite, and
varying gastrointestinal symptoms, often accompanied by rash and bone or
joint pains (Rush 1789, Hammon, Rudnick & Sather 1960, Ehrenkranz et
al. 1971, San Juan Laboratories 1979, Kuberski et al. 1977, Lopez-Correa
et al. 1979). Symptoms persist for 3–7 days, and while convalescence may
be prolonged for several weeks, mortality is rare. Homologous immunity
is lifelong, but cross-protection to other dengue viruses is not elicited and,
indeed, there is evidence to suggest that heterologous antibodies may form
infectious immune complexes which may increase the severity of subsequent
infections (Halstead, Nimmannitya & Margiotta 1969, Halstead 1970,
1980, Kliks et al. 1989). Infected people are infective for feeding mosquitoes
during the febrile phase of their illness, and mosquitoes may then transmit
the virus to others at subsequent blood-meals after an incubation period of
approximately one week, depending upon ambient temperatures (Watts et
al. 1987). Infected female mosquitoes may also pass the virus on to progeny by transovarial transmission (Rosen et al. 1983, Khin & Than 1983,
Hull et al. 1984, Freier & Rosen 1987, 1988, Rosen 1987, 1988, Fauran,
220
Global Epidemiology of Infectious Diseases
Laille & Moreau 1990, Shroyer 1990, Mitchel & Miller 1990, de Souza
& Freier 1991, Bosio et al. 1992, Serufo et al. 1993). Mosquitoes infected
transovarially may transmit dengue virus to susceptible humans at their first
blood-meal. Once infected, mosquitoes remain infected for life and may
transmit dengue virus either during probing, interrupted blood feeding, or
when feeding to repletion. Thus, a single infected mosquito may transmit
the virus to several susceptible humans over its lifetime.
Dengue haemorrhagic fever (DHF) and dengue shock syndrome (DSS)
are more severe manifestations of dengue infection, and are most often
associated with infection of people with pre-existing antibodies to dengue,
either actively or passively acquired (Quintos et al. 1954, Hammon et al.
1960, Halstead, Nimmannitya & Margiotta 1969, Ramirez-Ronda et al.
1979, Halstead 1970, 1980). The clinical course follows that of classic
dengue fever initially; however, as the febrile phase subsides, the patient’s
condition rapidly deteriorates with signs of circulatory failure, neurological manifestations, and hypovolemic shock with potential fatal outcome if
prompt, proper, clinical management is not implemented. Haemorrhage
may be evident by petechiae, easy bruising, bleeding at injection sites, and
occasionally gastrointestinal bleeding, especially where gastric ulcers already
exist (Tsai et al. 1991).
There is no specific treatment for dengue fever. Although convalescence
may last several weeks following dengue infection, especially among adults,
disabling sequelae are not thought to follow infection. Dengue haemorrhagic fever and DSS require symptomatic treatment, coupled with careful
assessment of fluid and electrolyte balance for management of shock (World
Health Organization 1986, Craven 1991). Areas where clinicians are not
familiar with the proper treatment of DHF/DSS may have case fatality rates
substantially higher than those where physicians are experienced in the
proper treatment of the disease. Diagnosis is made on clinical grounds and
confirmed by laboratory demonstration of specific immune response, virus
isolation, or identification of dengue virus nucleic acid sequences in clinical
material (Russell & McCown 1972, Russell, Brandt & Dalrymple 1980,
Pan American Health Organization 1982, Repik et al. 1983, Henchal et al.
1986, Kerschner et al. 1986, World Health Organization 1986).
Dengue is the most widespread vector-borne virus disease in the world,
and DHF/DSS are rapidly increasing in incidence in many tropical areas
(Halstead 1992, 1993a, 1993b). This dramatic increase is a result of
changes in human lifestyle, increased international travel, and urban
crowding. Dengue has been known for at least 200 years, but DHF/DSS
has only been routinely recognized since the 1950s, although there is
evidence to suggest that DHF occurred as early as 1897 in north-eastern
Australia (Hare 1898, Craven 1991, Halstead 1993a). Following the end
of the Second World War, Asian cities experienced rapid growth and urban
crowding, and with these came increased habitat for the vector mosquito of
dengue, Aedes aegypti, which selectively breeds in water containers associated with human habitations. These breeding sites can include water jugs,
Dengue and dengue haemorrhagic fever
221
blocked drain spouts, decorative plant containers, discarded refuse that
may retain water, and many other items associated with modern life (Gratz
1993a). A pattern of dengue transmission then became evident, especially
in major cities of South East Asia, first with increasingly frequent epidemics
of classic dengue, then merging to continuous endemic transmission and
appearance of DHS/DSS, initially sporadically but becoming more common within the last 20 years, until these too are now endemic (Akiyama
1993, Gratz 1993b, Gubler 1993, Itoh 1993, Kojima 1993, Lam 1993).
This pattern has been seen in varying degrees throughout much of tropical
Asia, from the southern provinces of China to the west coast of India, and
south to northern Australia and many Pacific island nations.
The same evolutionary pattern is now being repeated in the urban
centres of Latin America (Gubler 1993, Halstead 1992, 1993a). In the
1960s, a hemisphere-wide Aedes aegypti eradication programme was in
existence, and nearly succeeded in total eradication of the vector. However, the decision was made to change the strategy from eradication to
control. As a result, Aedes aegypti has now reinfested virtually all areas
where it was once eliminated, and has even expanded to new habitats. As
a result of this reinfestation, transmission of dengue has recently occurred
in almost all parts of Latin America and the Caribbean (Pan American
Health Organization 1993). It is currently limited to increasingly frequent
epidemics of dengue fever, often coupled with sporadic cases or outbreaks
of DHF/DSS. The pattern is, however, identical to that experienced in Asia
during the 1950s and 1960s, and it is clear that DHF/DSS will become
increasingly common in the years to come (Gubler 1993). Indeed, in 1994
a major outbreak of dengue and DHF occurred in north-eastern Brazil,
and some experts have suggested that as many as 300 000 cases might
have occurred.
In Africa, similar conditions exist, but reporting has been fragmentary,
and there are no reliable estimates of the number of persons infected or the
virus serotypes in circulation (Monath et al. 1974, Fagbami, Monath &
Fabiyi 1977, Roche et al. 1983). As a typical example, however, in 1993
an outbreak of dengue occurred in Comoros, during which an estimated
60 000 cases occurred (Pan American Health Organization 1993).
Review of major studies and data available
Because of the variation in clinical presentation and lack of readily available, inexpensive diagnostic tests, dengue fever is generally not formally
reported. In some endemic countries, such as Thailand, DHF/DSS may be
systematically recorded and reports of such surveillance are periodically
published. Both WHO and the Rockefeller Foundation have monitored
formal country reports of DHF/DSS, and these reports formed the basis
of our estimates for incidence of disease (Halstead 1992, 1993b, Okabe
1993, Pan American Health Organization 1993). The published scientific
literature is generally limited to reports of specific outbreaks and most
222
Global Epidemiology of Infectious Diseases
often does not offer a quantitative historical perspective of dengue or
DHF/DSS. It is thus of limited usefulness in preparing burden of disease
analyses. The problem is further complicated by the fact that dengue
and DHF/DSS frequently occur as outbreaks or epidemics, often above a
background of endemic transmission. Consequently, larger outbreaks may
be recognized and reported; indeed, estimates of the number of cases may
be inflated, since many febrile diseases may be reported then as dengue.
Between outbreaks, uncomplicated dengue may be merged with all other
causes of febrile illness, and thus there may be general underreporting of
the disease.
The most comprehensive cost-benefit analysis of dengue and DHF/DSS
was prepared by Shepard & Halstead (1993), and their estimates are
incorporated into the present model whenever possible.
It is generally believed that millions of people suffer from dengue
fever each year in Asia, Africa, the Pacific Islands, and the Americas (Pan
American Health Organization 1993). It is virtually impossible, however,
to document the global impact of dengue fever given the general absence
of surveillance. For the purposes of this publication, we have focused on
the more severe complications of dengue infection, DHF/DSS, and severe
dengue fever cases. These conditions often require hospitalization and
form the basis for the limited number of officially reported cases. Thus,
our calculations are based on reported numbers of cases whenever possible.
As these estimates reflect only the most clinically severe cases, they almost
certainly underestimate the true burden of disease. We also used average
incidence rates whenever possible. These were usually determined based
on the number of cases reported over the past decade. This is justified
since dengue and DHF are usually epidemic diseases, where the number
of cases reported during an outbreak may well be 100 times greater than
during inter-epidemic periods. Averaging over a 10-year period serves
to compensate for these wide annual fluctuations. The trend, however,
in nearly all endemic areas, and especially in the Americas, is towards
more frequent and larger outbreaks. Unfortunately, our estimates fail to
reflect this upward trend, and thus also lead to an underestimate of the
true disease burden.
International Classification of Diseases
The specific categories related to dengue in the ninth and tenth revisions of
the International Classification of Diseases (ICD) are listed in Box 8.1.
Ninth revision
Uncomplicated dengue fever, also listed as breakbone fever, is coded as
061 in the ninth revision of the International Classification of Diseases.
Alternative codings could include 066: other arthropod-borne viral diseases, and 780.6: fever of unknown origin. Dengue haemorrhagic fever is
coded as 065.4, with the following synonyms—Bangkok, Chikungunya,
Dengue and dengue haemorrhagic fever
Box 8.1
International Classification of Diseases (ICD) codes
related to dengue and dengue haemorrhagic fever
ICD 9
061
223
ICD 10
Uncomplicated dengue fever
(also called breakbone fever)
A90
Classical dengue fever
A91
Dengue haemorrhagic fever
A90–99 Anthropod-borne viral
haemorrhagic fevers and viral
haemorrhagic fevers
mosquito-borne, Philippine, Singapore, South-East Asia and Thailand
haemorrhagic fever—all sharing the same code, even though Chikungunya is both antigenically and taxonomically a completely different virus.
Other classifications could result from coding based on clinical disease
rather than viral etiology, and might include 785.5: shock, hypovolaemic
without mention of trauma, and 448.9: haemorrhage, capillary, diseases
of capillaries, other, and unspecified.
Tenth revision
Classical dengue fever is coded as A90 in the tenth revision of the International Classification of Diseases, and dengue haemorrhagic fever is
classified as A91. The codes for arthropod-borne viral fevers and viral
haemorrhagic fevers are A90–A99. Related codes that might include
dengue or dengue haemorrhagic fever include B33: other viral diseases,
not elsewhere classified, and B34: viral infection of unspecified site. Codes
based on clinical disease rather than specific etiology might include: D65:
disseminated intravascular coagulation (defibrination syndrome); D69:
purpura and other haemorrhagic conditions, especially D69.9: haemorrhagic condition, unspecified; R04: haemorrhage from respiratory passages,
especially R04.8: haemorrhage from other sites in respiratory passages;
R21: rash and other nonspecific skin eruption; R50: fever of unknown
origin; R57: shock, not elsewhere classified, especially R57.1: hypovolaemic shock, and R57.9: shock, unspecified; and H58: haemorrhage, not
elsewhere classified.
Estimated Burden of Dengue and Dengue
Haemorrhagic Fever
The most comprehensive data available for dengue and DHF/DSS originate
in South East Asia, in the Other Asia and Islands region. We have based
our estimates on data from this region, then tried to estimate the situation
in other areas by comparison with Other Asia and Islands.
224
Global Epidemiology of Infectious Diseases
Other Asia and Islands
Population at risk. Countries within the region were reviewed to exclude
those nations not thought to be at risk of severe dengue/DHF. An estimate
of 86.4 per cent of the regional population was considered at risk of this
disease. Countries or areas considered not at risk included: Bhutan, Democratic Peoples’ Republic of Korea, Mongolia, Nepal, Republic of Korea, and
Hong Kong (total population 92 652 000). The age-specific and sex-specific
population at risk was determined by multiplying the regional age-specific
and sex-specific population estimates by 0.864.
Overall incidence rates. The average number of reported cases in the
decade prior to 1992 was calculated based on statistics summarized in
recent publications (Halstead 1993a, 1993b) or those obtained by Gratz
(unpublished data). Those averages were used to determine country-specific
annual incidence rates per 1000 population based upon population estimates
for those countries.
These incidence rates were then used to estimate an overall incidence
rate for the regional populations at risk of severe dengue/DHF. The overall incidence rate among the population at risk was estimated to be 0.3
per 1000. Because of general underreporting and differences in reporting
criteria, this estimate is likely to be low. Furthermore, it is based on a 10year average, and in most parts of this region the incidence of dengue and
DHF/DSS is increasing, another reason to suspect that the estimate is low.
Nonetheless, there are no better estimates available for this or any other
region, and we therefore have based our calculations on this estimate.
Sex-specific incidence rates. Published reports indicate that female cases
of severe dengue/DHF exceed male cases by a ratio of 1.2:1.0 (Shepard
& Halstead 1993). Thus, we estimated the contribution of male cases at
an incidence rate of 0.27 per 1000, and females at 0.33 per 1000. These
rates were used to determine the total estimated number of cases.
Age-specific incidence rates. Published reports indicate that approximately
95 per cent of severe dengue/DHF occurs in children under 15 years old
(Shepard & Halstead 1993). Among these children, 75 per cent of cases
are estimated to occur in the 5–14 year age group, and 25 per cent in the
0–4 year age group. We estimated the contribution from the remaining age
groups as 3 per cent for 15–44 year, 1.5 per cent for 45–59 year, and 0.5
per cent for 60 years and over. We found no published reports to validate
the estimates for adults.
Estimated number of cases. Age-specific incidence rates were used to estimate
the age-specific number of cases by multiplying the fraction by the total
sex-specific estimated number of cases.
Estimated number of deaths. Case fatality rates for dengue/DHF were
Dengue and dengue haemorrhagic fever
225
reviewed for countries within the region where information was available. Case fatality rates clustered into two groups: those with rates that
averaged 0.5 per cent, and those with rates that averaged 5.2 per cent.
We included Malaysia, Singapore, Taiwan, Thailand and Viet Nam as
“low threat areas”, and Bangladesh, Cambodia, Indonesia, Lao People’s
Democratic Republic, Myanmar, Papua New Guinea, Philippines, and
Sri Lanka, and all islands as “high threat areas”, even though reliable
estimates of disease attributable to dengue/DHF do not exist for some of
these countries. A total of 27.7 per cent of the at-risk population lived in
“low-threat areas,” and 72.3 per cent in “high-threat areas.” We calculated
the estimated number of age-specific and sex-specific cases in these areas
by multiplying these factors by the total estimated number of cases. We
did not have sufficient information to divide populations into risk areas in
the other regions examined. The number of deaths in “high-threat areas”
is estimated by multiplying the estimated number of cases in that area by
the average case fatality rate, 5.2 per cent. The number of deaths in “low
threat areas” was estimated by multiplying the estimated number of cases
in that area by the average case fatality rate, 0.5 per cent. These values
were summed to estimate the total number of deaths for the region, and
are shown in Table 8.1.
India
Population at risk. Based on very limited information presented at a meeting
on dengue held in 1994 in Pune, India, and cosponsored by the National
Institute of Virology, the Rockefeller Foundation and the World Health
Organization, we estimated that roughly 80 per cent of the population of
Table 8.1
Sex and age
(years)
Estimates of the burden of dengue haemorrhagic fever,
Other Asia and Islands
Regional population (thousands)
Population at risk
(thousands)
Estimated
number of cases
Estimated
number of deaths
0–4
5–14
15–44
45–59
60+
43 763
84 032
160 825
34 138
20 208
37 811
72 604
138 953
29 495
17 460
19 002
57 005
2 400
1 200
400
736
2 208
93
46
15
Total
342 966
296 323
80 007
3 099
0–4
5–14
15–44
45–59
60+
41 988
80 217
159 611
35 090
22 662
36 278
69 307
137 904
30 318
19 580
22 994
68 983
2 905
1 452
484
891
2 672
112
56
19
Total
339 568
293 387
96 818
3 750
Males
Females
226
Global Epidemiology of Infectious Diseases
India is at risk of infection with dengue/DHF (World Health Organization 1994c).
Overall incidence rates. We found no reliable estimates of dengue incidence
in India; however, it was apparent from discussions during the meeting that
the problem may approach or exceed the magnitude of that seen in the
Other Asia and Islands Region. Consequently, we used the same estimate
for overall incidence as applied for that region, 0.3 per 1000.
Sex-specific incidence rates. We used the same sex-specific incidence rates
as used for the Other Asia and Islands Region.
Age-specific incidence rates. We used the same age-specific incidence rates
as used for the Other Asia and Islands Region.
Estimated number of cases. Age-specific incidence rates were used to estimate
the age-specific number of cases by multiplying the fraction by the total
sex-specific estimated number of cases.
Estimated number of deaths. A presentation made at the meeting on dengue indicated that there is a wide spread need for educational programmes
for medical staff on the proper management of DHF/DSS patients (World
Health Organization 1994c). Existing mortality rates attributable to DHF
may be approximately the same as in areas considered as high threat in the
Other Asia and Islands Region. We therefore used a case fatality rate of 5.2
per cent, realizing that additional information is clearly needed to form the
basis for a more accurate estimate.
The number of deaths was estimated by multiplying the estimated number of cases by the case fatality rate, 5.2 per cent. Estimates for the disease
burden attributable to DHF in India are shown in Table 8.2.
China
Population at risk. Only the southern provinces of China are at risk for
dengue/DHF; dengue does not occur in areas where hard freezes occur in
winter. Consequently, we estimated that 10 per cent of the total population
of China is at risk for dengue/DHF.
Overall incidence rates. The incidence of dengue/DHF in southern China
is less than in India or the Other Asia and Islands Regions, but nonetheless
thought to be substantial. We found no quantitative estimates of dengue/
DHF incidence rates in China, so we estimated an incidence rate of 0.2
per 1000, somewhat less than that used for the Other Asia and Islands
Region. One might suspect that the incidence in southern China would
approximate that seen in adjacent areas of the Lao People’s Democratic
Republic and Viet Nam.
Dengue and dengue haemorrhagic fever
Table 8.2
Sex and age
(years)
227
Estimates of the burden of dengue haemorrhagic fever, India
Regional population (thousands)
Population at risk
(thousands)
Estimated
number of cases
Estimated
number of deaths
0–4
5–14
15–44
45–59
60+
59 789
101 752
200 525
47 567
29 768
47 831
81 402
160 420
38 054
23 814
22 541
67 624
2 847
1 424
475
1 172
3 516
148
74
25
Total
439 401
351 521
94 911
4 935
0–4
5–14
15-44
45–59
60+
56 679
95 263
183 242
46 005
28 924
45 343
76 210
146 594
36 804
23 139
25 714
77 142
3 248
1 624
541
1 337
4 011
169
84
28
Total
410 113
328 090
108 270
5 630
Males
Females
Sex-specific incidence rates. We used the same ratio of sex-specific incidence
rates as used for the Other Asia and Islands Region; thus the incidence rate
for males was 0.18 per 1000 and for females 0.22 per 1000.
Age-specific incidence rates. We used the same age-specific incidence rates
as for the Other Asia and Islands Region.
Estimated number of cases. Age-specific incidence rates were used to estimate
the age-specific number of cases by multiplying the fraction by the total
sex-specific estimated number of cases.
Estimated number of deaths. We used an intermediate case fatality rate of
3.7 per cent for the entire population at risk. The number of deaths was
estimated by multiplying the estimated number of cases by this rate. These
estimates are presented in Table 8.3.
Sub-Saharan Africa
Population at risk. There is very little quantitative information regarding
the actual population at risk of severe dengue/DHF in Africa. Periodic
reports have been published that clearly indicate that dengue viruses are
present in many different parts of Africa, and recent outbreaks of dengue
have occurred in Comoros and among United Nations personnel deployed
to Somalia (Halstead 1992, World Health Organization 1993). Few serological surveys have been attempted and interpretation of those done is
hampered by the presence of other flaviviruses, which cross-react with
dengue in many serological tests. Dengue viruses are present, particularly
around urban centres where Aedes aegypti may be abundant. Based on very
228
Table 8.3
Sex and age
(years)
Global Epidemiology of Infectious Diseases
Estimates of the burden of dengue haemorrhagic fever, China
Regional population (thousands)
Population at risk
(thousands)
Estimated
number of cases
Estimated
number of deaths
0–4
5–14
15–44
45–59
60+
60 243
96 997
306 305
72 674
48 980
6 024
9 700
30 631
7 267
4 898
2 502
7 505
316
158
53
93
278
12
6
2
Total
585 199
58 520
10 534
390
0–4
5–14
15-44
45–59
60+
57 946
90 401
284 078
64 403
51 666
5 795
9 040
28 408
6 440
5 167
2 866
8 598
362
181
60
106
318
13
7
2
Total
548 494
54 849
12 067
446
Males
Females
crude estimates, we considered that 20 per cent of the residents of Africa
were at risk of dengue/DHF, even though we could locate no confirmed
record of DHF in sub-Saharan Africa.
Overall incidence rates. The limited information currently available indicates that dengue/DHF is less abundant than in India or the Other Asia
and Islands Region. We estimated the incidence to be 0.1 per 1000, with
little factual basis for this figure.
Sex-specific incidence rates. We used the same ratio of sex-specific incidence
rates as for the Other Asia and Islands Region, thus we used an incidence
rate of 0.09 per 1000 males and 0.11 per 1000 females.
Age-specific incidence rates. We used the same age-specific incidence rates
as for the Other Asia and Islands Region.
Estimated number of cases. Age-specific incidence rates were used to estimate
the age-specific number of cases by multiplying the fraction by the total
sex-specific estimated number of cases.
Estimated number of deaths. We used a high case fatality rate of 5.2 per
cent, based on the fact that the incidence rate is relatively low, thus giving
clinicians little experience with the disease, and realizing that virtually no
special training has been provided to clinicians in Africa for management
of DHF/DSS. We used only a single case fatality rate for all of the SubSaharan Africa Region. The estimated number of deaths was calculated by
Dengue and dengue haemorrhagic fever
229
multiplying the case fatality rate by the estimated number of cases. These
estimates are presented in Table 8.4.
Latin America and the Caribbean
Population at risk. Dengue and DHF/DSS are rapidly expanding throughout Latin America and the Caribbean, closely following the reinfestation
of most urban centres and many rural areas by the vector mosquito of
dengue, Aedes aegypti. As a result, the general trend has been to increasing
incidence of disease, especially over the past decade. Limited quantitative
information is available to support specific country estimates, although the
Pan American Health Organization has attempted to monitor dengue and
DHF for more than a decade (Pan American Health Organization 1993).
The most dramatic outbreak of dengue and DHF/DSS occurred in Cuba in
1981, primarily between the months of June and October, when 344 203
cases of dengue were reported, of which 116 151 were hospitalized (Kouri,
Guzman & Bravo 1986). Of the hospitalized cases, 9203 were considered
“serious,” and an additional 1109 were considered “very serious.” A total
of 158 deaths were recorded (the case fatality rate was 1.5 per cent of
serious and very serious cases, or 0.14 per cent of hospitalized cases).
While Cuba has subsequently virtually eliminated Aedes aegypti mosquito
populations, the dramatic potential impact of epidemic dengue or DHF
on a nation’s health care system is nonetheless evident from these figures.
Indeed, at the peak of the Cuban epidemic, approximately 10 000 cases
were hospitalized per week, enough to swamp even the most sophisticated
medical system. Considering the expanding dengue incidence throughout
most of Latin America and the Caribbean in both urban and rural settings,
Table 8.4
Sex and age
(years)
Estimates of the burden of dengue haemorrhagic fever,
Sub-Saharan Africa
Regional population (thousands)
Population at risk
(thousands)
Estimated
number of cases
Estimated
number of deaths
0–4
5–14
15–44
45–59
60+
47 484
70 258
103 764
20 308
10 508
9 497
14 052
20 753
4 062
2 102
1 079
3 236
136
68
23
56
168
7
4
1
Total
252 322
50 464
4 542
236
0–4
5–14
15-44
45–59
60+
47 030
69 818
106 257
22 117
12 730
9 406
13 964
21 251
4 423
2 546
1 035
1 536
2 338
487
280
54
80
122
25
15
Total
257 952
51 590
5 675
295
Males
Females
230
Global Epidemiology of Infectious Diseases
we have estimated that 60 per cent of the population of this region is at
risk of severe dengue/DHF.
Overall incidence rates. While the incidence of dengue is less in Latin
America and the Caribbean than in Asia, it is nonetheless significant and
increasing. From 1988 to 1992, an average of 102 162 cases of dengue
fever were reported in the region. During that same period, an average
of 2100 DHF cases were reported annually, with a mean of 31 deaths
attributed to the disease (Pan American Health Organization 1993), as
shown in Table 8.5.
Based on these reported rates, we have estimated the annual incidence
of DHF to be 0.006 per 1000.
Sex-specific incidence rates. We used the same ratio of sex-specific incidence
rates as for the Other Asia and Islands Region; thus the rate for males was
0.0056 per 1000 and for females 0.0063 per 1000.
Age-specific incidence rates. We used the same age-specific incidence rates
as for the Other Asia and Islands Region.
Estimated number of cases. Although dengue fever is rapidly increasing in
most countries of the region, DHF remains relatively uncommon, and thus
we used the same annual incidence rate for all populations at risk.
Estimated number of deaths. We used a case fatality rate of 1.5 per cent
based on the average number of deaths reported from 1988 to 1992. A
summary of estimates for the population at risk, number of cases and
deaths is found in Table 8.6.
Middle Eastern Crescent, Formerly Socialist Economies
of Europe, and Established Market Economies
In these regions, dengue and DHF/DSS are generally limited to tourists
travelling to and from endemic areas in other regions, although transmisTable 8.5
Reported cases of dengue fever, dengue haemorrhagic fever,
and deaths attributable to dengue haemorrhagic fever in
Latin America and the Caribbean, 1988 to 1992
Year
Dengue fever
Dengue haemorrhagic fever
Deaths
1988
1989
1990
1991
1992
47 783
89 138
116 389
155 543
101 958
86
2 682
3 646
1 760
2 319
6
33
62
31
23
Average
102 162
2 099
31
Source: Pan American Health Organization (1993).
Dengue and dengue haemorrhagic fever
Table 8.6
Sex and age
(years)
231
Estimates of the burden of dengue haemorrhagic fever,
Latin America and the Caribbean
Regional population (thousands)
Population at risk
(thousands)
Estimated
number of cases
Estimated
number of deaths
Males
0–4
5–14
15–44
45–59
60+
28 721
52 124
104 286
22 249
14 231
22 977
41 699
83 429
17 799
11 385
236
707
30
15
5
2
7
0
0
0
Total
221 611
177 289
993
10
0–4
5–14
15-44
45–59
60+
27 676
50 744
104 085
23 355
16 824
22 141
40 595
83 268
18 684
13 459
267
800
34
17
6
4
12
1
0
0
Total
222 684
178 147
1 122
17
Females
sion may exist in a few population centres. For example, in the Middle
Eastern Crescent Region, there is growing evidence that active dengue
transmission probably occurs in some locations. Nonetheless, the number
of cases in these regions is relatively small, and no quantitative information
exists upon which incidence estimates could be based.
Validity of incidence estimates
Clearly the estimate of incidence rates is the single most critical value in
calculating the global burden of disease. Unfortunately, the data from which
this estimate must be drawn, at least for dengue/DHF, are very weak. The
incidence of dengue/DHF depends upon several factors, including the abundance of potential mosquito vectors, especially Aedes aegypti, the number
of susceptible humans in the population at risk, and the presence of dengue
viruses circulating in or introduced into those populations. Other factors,
especially environmental and sociological, also influence estimates of the
incidence of dengue/DHF. The fact that distinct viruses may cause dengue,
the confusion among clinicians about what actually distinguishes dengue
from DHF, and the limitations in availability of laboratory confirmation,
all contribute to the ambiguity of incidence estimates. Further, dengue and
DHF tend to occur in epidemics, so that tremendous numbers of cases may
occur during one period, followed by subsequent years when relatively
few cases may be recorded. Finally, as with all diseases, the estimates are
only as good as the surveillance and reporting systems from which the
estimates are drawn. In general, for dengue and DHF, these are not well
developed. Between outbreaks, there is likely to be underreporting, dengue
232
Global Epidemiology of Infectious Diseases
being grouped with undifferentiated febrile illness or haemorrhagic diseases
of undetermined origin. During outbreaks, there may be overreporting,
since all febrile illnesses may be reported as dengue, and any febrile disease
with bleeding manifestations as DHF.
To overcome these potential problems, we have concentrated our efforts
at estimation on incidence in the Other Asia and Islands Region, where
dengue and DHF are best known clinically and historically, and where we
feel that the reporting systems are most reliable. To overcome the large
annual variations in incidence of dengue and DHF, we have attempted to
average the incidence rates for the most recent 10-year period for which
complete information is available. The actual number of reported DHF
cases by selected countries are presented in Table 8.7. We have attempted
to calculate the overall regional incidence rates by taking into account the
specific rates for those countries for which information is available, and
estimating for other countries in the region where DHF is known to occur,
but no published information on incidence rates is available. Whenever
possible, we used these same techniques in the other areas considered;
however, the data are generally much less reliable for the other regions.
Consequently, we used the rate for the Other Asia and Islands Region
as a reference point, then determined whether other regions had greater,
equal, or lower incidence rates, based on informal reporting and published
information from recent outbreaks. The gross estimates are summarized
in Table 8.8.
We suspect that the final product of this exercise grossly underestimates
the true burden of DHF. The question that remains to be answered is the
order of magnitude that this underestimation represents. Attempts are
in progress to improve dengue diagnosis and surveillance in hopes of
generating more accurate information on the true global burden of this
increasingly important disease.
In reviewing the data available to estimate incidence, a striking trend
is consistently seen. Dengue and DHF are increasing in virtually every
location where they are found, and are rapidly appearing in new areas,
following infestations by the vector mosquito, Aedes aegypti. This rapid
increase is most notable in the Other Asia and Islands Region, where DHF
has become endemic and a constant threat in many countries, and in Latin
America and the Caribbean, where dengue epidemics are increasingly
common and DHF is seen with increasing frequency. Given that the estimates for incidence were based on 10-year averages, they are most likely
underestimates of the true incidence of disease. The global burden of this
disease is likely to be much greater in the coming years.
Other considerations in estimating disease burden
The focus of this discussion has been on severe dengue and DHF, conditions likely to require hospitalization and thus be captured by a national
surveillance system. Uncomplicated dengue fever has not been considered
although it is acknowledged that there are many more dengue fever patients
Cases
5 909
4 665
13 875
12 710
13 875
12 710
22 765
47 573
10 362
13 043
21 120
17 620
196 2270
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
1992
Total
6 994
231
255
491
382
460
600
1 039
1 527
464
458
578
509
Deaths
Indonesia
16 152
486
3 052
790
702
384
1 403
2 025
1 448
2 401
2 071
741
649
Cases
211
14
36
10
5
11
9
8
2
14
38
39
25
Deaths
Malaysia
38 822
1 524
1 706
2 856
2 323
2 666
2 191
7 292
1 181
1 196
6 318
8 055
1 514
Cases
1 372
90
49
83
39
134
111
222
65
52
182
305
40
Deaths
Myanmar
13 979
123
305
1 684
2 545
2 096
687
859
2 922
305
588
1 865
n/a
Cases
654
8
31
130
89
210
30
27
68
14
27
20
n/a
Deaths
Philippines
9 535
133
216
205
86
126
354
436
245
944
1 733
2 179
2 878
Cases
180
0
0
2
0
2
0
0
0
0
4
6
4
Deaths
Singapore
681 013
25 641
22 250
30 022
69 597
80 076
29 030
170 630
26 926
69 204
113 855
43 782
n/a
Cases
3 689
194
159
231
451
542
206
896
189
280
422
119
n/a
Deaths
Thailand
Dengue haemorrhagic fever reported, selected countries, Other Asia and Islands, 1982–1992
Year
Table 8.7
1 009 640
35 323
39 806
149 519
30 498
45 107
46 266
354 517
85 160
40 205
37 569
94 630
51 040
Cases
7 455
408
361
1 798
368
399
511
1 566
826
289
255
403
271
Deaths
Viet Nam
Dengue and dengue haemorrhagic fever
233
234
Table 8.8
Global Epidemiology of Infectious Diseases
Crude estimate for the global burden of disease attributable
to dengue haemorrhagic fever, 1994
Region
Cases
Deaths
Other Asia and Islands
India
China
Sub-Saharan Africa
Latin America and Caribbean
180 000
205 000
23 000
11 000
3 000
7 000
11 000
1 000
600
100
Total
422 000
19 700
for each case of DHF. Consequently, the nearly half a million cases of DHF
estimated here are likely to reflect 5–50 million or more dengue infections
annually. Certainly in epidemic years, this could well be an underestimation. The cost of uncomplicated dengue is perhaps most noticeable
among the adult population, where the disease is more often clinically
apparent, frequently leading to acute illness of about a week’s duration,
and occasionally with prolonged convalescence. Those at greatest risk are
residents of areas recently infested with vector mosquitoes and exposed
for the first time as adults to dengue, as is happening now in many parts
of Latin America, and travellers (including deployed military personnel,
business people, tourists and others). No attempt has been made to quantify
either the economic or health impact of dengue on these groups, but it is
undoubtedly substantial and growing.
Risk factors
Risk factors for dengue and DHF are primarily those associated with the
potential to be fed upon by infected mosquitoes. Because the primary
vector feeds mostly during daylight hours, and is well adapted to the
urban environment, the socioeconomic conditions that favour the spread
of other vector-borne disease, such as malaria, are not as important with
dengue. Certainly lower-income neighbourhoods may be at increased risk
of infection, especially if litter and refuse that may retain sufficient water
to support mosquito larval development are abundant; however, this mosquito species breeds equally efficiently in flower pots and other ornamental
containers that hold water, and may be abundant in any area, including
middle-income or upper-income neighbourhoods, or in public places such
as schools and parks. This, coupled with its day-biting activity, means that
people may easily be exposed to dengue-infected mosquitoes during their
daily travels, even though their personal dwellings have screens and they
live in a “nice” neighbourhood.
A second major risk factor is prior infection with a dengue virus, since
heterologous anti-dengue antibodies may enhance dengue infection and
predispose an individual to much greater risk of DHF on subsequent infection. Similarly, maternally-acquired antibodies, as titres wane and are no
longer able fully to inactivate dengue virus, place infants at increased risk
Dengue and dengue haemorrhagic fever
235
of antibody-enhanced dengue infection leading to increased risk of DHF.
Other risk factors include the human population density, and thus the
availability of susceptible individuals to sustain transmission, residence in
tropical environments, where vector species survive best, and residence in
an area where infected travellers may introduce the virus and precipitate
epidemic transmission.
The risk of dying from dengue or DHF depends to a large extent on
the skills of local attending physicians and nurses. Properly trained and
experienced health care professionals can expertly manage critically ill
patients and reduce mortality rates to below 1 per cent; however, those not
familiar with the disease may find mortality rates of 5 per cent or greater
among their seriously ill patients.
Other diseases
Two other vector-borne diseases frequently occur under conditions similar
to those which support dengue virus transmission: yellow fever and Chikungunya fever. Yellow fever is well known as a historical scourge of the
tropics; thousand of individuals died, especially in the temperate and tropical zones of the Americas, often seriously limiting national development
projects, as was the case with the Panama Canal. What is often overlooked
today is the fact that the same conditions that originally supported urban
yellow fever transmission in the Americas are once again developing, with
widespread and abundant populations of vector mosquitoes, Aedes aegypti,
and large, susceptible human populations. All that is needed to initiate
urban transmission is the introduction of infected humans into a situation
where they may be fed upon by vector mosquitoes, and an outbreak could
ensue. Currently, active yellow fever transmission is limited to endemic
areas of sub-Saharan Africa and northern South America; however, with
the frequency of air travel to and from virtually all parts of the world, it is
not inconceivable that an individual could be infected in a remote endemic
area, and shortly thereafter be fed upon by potential vector mosquitoes in
a major urban centre far removed from the site of original infection.
Chikungunya is not as well known as yellow fever, but it too is transmitted by Aedes aegypti, and may cause massive outbreaks in urban settings.
This virus is not known to cause fatal human infection, but it does cause
a serious febrile illness similar to dengue fever, which may incapacitate
infected individuals for about a week. Large epidemics have been reported
in India, Indonesia and the Philippines, and the virus is known to be present in much of Africa.
Cost-effectiveness of interventions
At present, countries where dengue and DHF are endemic spend millions
of dollars on vector control. This includes direct health care costs for
treatment and indirect costs resulting from lost tourism and lost work.
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The latter arises not solely in relation to infected individuals; since those
infected are often children, parents may have to stop working while they
care for their sick child. The average hospital stay for DHF patients is
5 to 10 days. Shepard & Halstead (1993) have summarized recent cost
estimates for dengue epidemics and found the total for direct health care
interventions, associated vector control activities, and indirect costs to be
from several million to over US$100 million per outbreak. Unfortunately,
the frequency of such outbreaks is increasing as new areas are infested
with Aedes aegypti.
Future research priorities
Substantial research efforts are required to manage the problem of dengue/
DHF. An immediate need exists for expanded medical training to teach
physicians and nurses the proper management of DHF patients, especially
in areas where the disease is just emerging and clinicians have little experience in managing these seriously ill patients. Significant reductions in
the mortality rates in endemic areas can be realized with minimal costs
through such efforts, and clearly this should be among the highest priority
activities in dengue control efforts. Likewise, support is required in the
clinical laboratory to ensure that dengue/DHF is properly and promptly
diagnosed. Again, this can be accomplished with relatively little investment
since common laboratory techniques are used, and all that may be required
is provision of the appropriate diagnostic reagents. Accurate diagnosis
should then feed into a well-organized surveillance and reporting system
that could allow health managers to monitor disease trends and initiate
outbreak control efforts at the first indication of a pending epidemic.
Several organizations are attempting to develop a vaccine for dengue/
DHF. A tetravalent vaccine would be especially beneficial. Since humans
represent the primary amplifying host of these viruses, a fully protective
vaccine that was widely administered could interrupt transmission and
significantly reduce the risk of infection. This is an especially challenging
task, however, since four distinct viruses may cause the disease, and the
confounding factor of immune-enhancement where there is partial protection, as would be elicited in a vaccine against only one, two or three
of the four dengue viruses, may in fact place individuals at greater risk of
DHF than unvaccinated persons. A live, attenuated, tetravalent vaccine
for dengue viruses has entered into Phase 2 clinical trials, and appears to
be safe and immunogenic.
At present, the only avenue for effective prevention of dengue/DHF is
through vector control. Unfortunately, sustained vector control is costly,
and as a consequence, frequently limited in success. Research is needed into
better ways of controlling Aedes aegypti populations. These must not only
be economically feasible, but also sustainable. Further, they need to take
into account the movement of large segments of the populations from rural
areas to urban centres in many affected countries. Current control efforts
Dengue and dengue haemorrhagic fever
237
are often directed towards routine pest management, and may include
community involvement coupled with emergency insecticide applications
when outbreaks are recognized. These efforts have met with marginal success, and it is clear that there is room for improvement. Historically, Aedes
aegypti was controlled by highly regimented mosquito control programmes
that involved both source reduction and effective use of insecticides (Soper
et al. 1943). Such programmes are, however, extremely expensive and difficult to maintain. Today, some countries have succeeded in controlling
vector mosquito populations using these techniques (for example, Cuba
after the 1981 outbreak), but in most cases countries have relied on insecticide applications after outbreaks are recognized, generally with much
less success. It is clear that innovative measures are needed, which will be
identified only through multidisciplinary research efforts that consider both
the sociological aspects of the local conditions leading to vector breeding,
and of the biology of the vector mosquito itself.
Equally challenging are the characteristics of the viruses that cause
dengue. Wide variations in the pathogenicity of dengue viruses have been
observed. Some strains of the same serotype may cause outbreaks with
little or no serious illness, while others may elicit significant numbers of
severe or fatal DHF cases. The molecular basis for this variation must be
determined. Fortunately, the complete nucleotide sequence is now available for strains of all four dengue serotypes, and infectious clones have
been produced for some serotypes. These tools should help in the future
definition of virulence factors of dengue viruses.
Conclusions
Dengue, and especially DHF/DSS, are significant global diseases that are
increasing in incidence and economic importance. Four distinct viruses
may cause classic dengue fever, and while infections with one serotype
leads to lifelong homologous protection, there is no lasting cross-protection from other dengue serotypes; indeed, subsequent dengue infections
are associated with increased risk of DHF/DSS. All four dengue viruses
are transmitted primarily by the urban mosquito vector, Aedes aegypti, a
species that is well adapted to life in close association with humans, and
one whose distribution and abundance is rapidly expanding throughout
tropical and subtropical cities, suburbs and villages of the world. Vector
control is expensive and inefficient, and as a result, conditions are prime
for epidemic dengue virus transmission in these areas. The result is that
today much of the world’s population is at risk of dengue, either as an
immediate threat in areas where the primary vector is abundant and dengue
viruses are endemic, or to travellers to these areas.
We have attempted to estimate the global burden of disease attributable to severe dengue and DHF/DSS, based on reported numbers of cases.
The greatest number of cases and deaths are thought to occur in India
and the Other Asia and Islands Region; however, the fastest growing
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Global Epidemiology of Infectious Diseases
region in terms of dengue fever is the Latin America and the Caribbean
Region. Little information is available to document the burden of disease
for the Sub-Saharan Africa Region. These analyses conclude that nearly
half a million cases of dengue sufficiently severe to reach formal reporting occur annually. Of these, approximately 20 000, or about 4 per cent,
end in death. These values clearly underestimate the true impact of severe
dengue because:
 they are based on reported cases only, and this information is fragmen-
tary and incomplete;
 they are based on annual estimates averaged over a decade and thus
minimize the impact of the increasing incidence of DHF/DSS in some
regions;
 in some regions, little information is available on which to base any
estimate.
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Chapter 9
Intestinal nematode infections
DAP Bundy, MS Chan, GF Medley, D Jamison,
L Savioli
Introduction
Effective control of the major intestinal nematode infections of humans
involves relatively low-cost interventions (Savioli, Bundy & Tomkins
1992). Informed decisions about the need for investment in control programmes, however, also require useable estimates of the scale of morbidity
(Guyatt & Evans 1992).
Direct estimates of morbidity would be preferred, but the currently
available techniques suffer from major limitations, examples of which
follow. Active case detection can be useful at the local level (Pawlowski &
Davis 1989), but demands a level of resources that makes its widespread
use impractical. Passive case detection, which has more appropriate
resource demands (Guyatt & Evans 1992), is unreliable for geohelminthiases because the symptoms are non-specific; in one prospective study
of trichuris colitis, only 2 per cent of cases observed in the community
had self-presented to the local health services (Cooper, Bundy & Henry
et al. 1986). Furthermore, there is increasing evidence that the most common and potentially important consequences of infection are insidious
effects on nutritional status (Nesheim 1989, Tomkins & Watson 1989)
and on physical and intellectual development (Stephenson 1987, Cooper
et al. 1990, Nokes et al. 1992a, 1992b). Such effects are unlikely to result
in self-presentation to passive case detection clinics, and will be grossly
underestimated by survey procedures based on the active detection of
clinical signs. This is especially so, as the infections are ubiquitous; both
passive and active detection are usually based on deviations from local
norms, which may be greatly influenced by the infections.
There are no direct estimates of the community morbidity caused by
intestinal helminths. Instead, most studies have focused on estimating
the prevalence of infections, only a fraction of which will be associated
with disease. Perhaps the first estimate of the global prevalence of intestinal nematode infections was presented by Stoll (1947). His technique
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of extrapolation from survey data has proven robust and has been used
to derive many of the more recent estimates which suggest that there are
some billion infections with Ascaris lumbricoides and only slightly fewer
infections with hookworm (both Necator americanus and Ancyclostoma
duodenale) and Trichuris trichiura (World Health Organization 1987,
Crompton 1988, 1989, Bundy & Cooper 1989). In the absence of reliable
procedures for estimating disease directly, estimates of burden have been
based on extrapolation from the infection prevalence data to provide an
estimate of the proportion of infections that are likely to be associated with
disease (Warren et al. 1993, Chan et al. 1994). This requires a careful and
conservative approach because of the ubiquity of infection; extrapolating from such large numbers has the consequence that even small errors
in estimating the disability attributable to individual cases can result in
considerable inaccuracy in estimating the total burden. Because of the
inherent potential for error in the use of any extrapolation procedure,
the major aims of this chapter are to encourage independent scrutiny of
the methodology and to highlight areas that particularly warrant further
empirical study.
This chapter builds on the studies of Chan et al. (1994) and Warren
et al. (1993), and attempts to provide improved estimates of burden of
disease based on extrapolation from observed estimates of prevalence of
infection. The size of the population at risk of disability is estimated using
epidemiological methods developed to describe the relationship between
prevalence and mean intensity, and between intensity and potential morbidity (Guyatt et al. 1990, Lwambo, Bundy & Medley 1992), but modified
to incorporate the heterogeneity between communities and age classes
(Chan et al. 1994). The disability per case at risk is estimated using procedures described elsewhere in this series (Murray & Lopez 1996), and
the regional and global burden of disease is obtained by extrapolation
from these estimates.
Basic biological characteristics of intestinal
nematodes
The analyses presented here focus on the four species of intestinal nematode that are of circumglobal distribution and occur at high prevalence:
Ascaris lumbricoides, Trichuris trichiura, and the two major hookworm
species, Necator americanus and Ancylostoma duodenale.
A. lumbricoides is the large roundworm (15 cm) and lies free in the
human duodenum where it feeds on lumenal contents (see Crompton,
Nesheim & Pawlowski (1989) for further details of the biology of this
parasite). Like all the other nematodes considered here, the worms are
dioecious, which is to say that they exist as male and female. The female
produces some 100 000 eggs per day which pass out in the faeces of the
host and embryonate externally at a rate determined by local environmental
factors. The eggs hatch on ingestion, releasing a larva that undergoes a
Intestinal nematode infections
245
tissue migration involving the cardiovascular and pulmonary systems. The
larva moults as it migrates and ultimately is coughed up from the lungs,
swallowed, and becomes established as the adult in the small intestine.
The cycle from egg deposition to female patency, when the female is able
to produce eggs, has a duration of some 50 days.
T. trichiura, the human whipworm, is a much smaller worm (25 mm)
and inhabits the colon (Bundy & Cooper 1989). The anterior two-thirds
of the worm is thin and thread-like and is laced through the mucosal
epithelium, upon which the worm is believed to feed, leaving the blunt
posterior projecting into the colonic lumen for excretion and oviposition.
The female produces some 2000 eggs per day which pass out in the host
faeces and embryonate externally. The infectious eggs hatch on ingestion
and undergo a specifically local migration, via the crypts of Lieberkühn to
the mucosal surface. The development cycle takes some 60 days.
The two major hookworm species, which are of similar magnitude to
the whipworm, inhabit the small intestine, where they attach to villi with
biting mouthparts (Schad & Warren 1990). The worms feed on host blood
and move frequently to new sites, leaving multiple, bleeding petechial
haemorrhages on the mucosal surface. A. duodenale is believed to be more
voracious, consuming some 0.14–0.40 ml of blood per day compared
with 0.01–0.10 ml by N. americanus. The eggs pass out in host faeces
and embryonate. Unlike the roundworm and whipworm, the eggs hatch
externally releasing a mobile infective larva that actively infects the human
host by dermal penetration. A. duodenale is also able to infect by the oral
route, and there is evidence for vertical transmission of this species either
transplacentally or in maternal milk. Having entered the host, the larva
undergoes a tissue migration to the lungs and is coughed up and swallowed
to moult to the adult in the small intestine. The cycle takes approximately
60 days for both species. A. duodenale is apparently able to extend this
period by arresting development to the adult stage; a mechanism which
may allow avoidance of seasonally hostile external conditions.
Basic epidemiological characteristics
of intestinal nematodes
Understanding the epidemiology of helminth infections requires a fundamentally different approach from that required for all other infectious
agents. Each worm’s establishment in a host is the result of a separate
infection event, and the number of infective stages shed (the infectiousness of the host) is a function of the number of worms present. In population dynamic terms this implies that the individual worm is the unit
of transmission for helminths, while the individual host is the unit for
microparasites (Anderson & May 1982). The size of the worm burden
(the intensity of infection) is therefore a central determinant of helminth
transmission dynamics, and is also the major determinant of morbidity
since the pathology is related to the size of the worm burden, usually in
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a non-linear fashion (Stephenson 1987, Cooper & Bundy 1987, 1988).
Since the size of the worm burden varies considerably between individuals, and infection implies only that worms are present, a population of
“infected” people will exhibit considerable variation in the severity of
disease manifestations. The intuitive assumption that all infections are
equal may help to explain the historical confusion over the pathogenicity
and public health significance of helminth infection (Bundy 1988, Cooper
and Bundy 1989). From these considerations it is apparent that an understanding of helminth epidemiology centres around an understanding of
the patterns of infection intensity.
Worm burden distributions
Worm burdens are neither uniformly nor randomly distributed amongst
individuals, but are highly over-dispersed such that most individuals have
few worms while a few hosts harbour disproportionately large worm burdens. This pattern has been described for Ascaris lumbricoides (Croll et al.
1982), both species of hookworm (Schad & Anderson 1985) and Trichuris
trichiura (Bundy et al. 1985). Most studies suggest that approximately 70
per cent of the worm population is harboured by 15 per cent of the host
population. These few heavily infected individuals—the “wormy persons”
described by Croll & Ghadirian (1981)—are simultaneously at highest risk
of disease and the major source of environmental contamination.
Studies of reinfection suggest that individuals are predisposed to a high
or low intensity of infection; the size of the worm burden reacquired after
successful treatment is positively associated with the intensity of infection before treatment. This association has been shown for all the major
geohelminths (Anderson 1986, Elkins, Haswell-Elkins & Anderson 1986,
Bundy & Cooper 1988, Holland et al. 1989), and persists over at least two
reinfection periods (Chan, Kan & Bundy 1992). Longitudinal studies of
T. trichiura (Bundy et al. 1988) and A. lumbricoides (Forrester et al. 1990)
confirm that this positive association reflects a direct relation between
the rate of reinfection and initial infection status. Thus in an endemic
community it appears that there is a consistent trend for an individual
to have an above (or below) average intensity of infection. This trend is
more apparent in children with A. lumbricoides (Haswell-Elkins, Elkins &
Anderson 1987) and T. trichiura (Bundy & Cooper 1988) infection, and
more apparent in adults with Necator americanus (Bradley & Chandiwana
1990) infection, perhaps reflecting the different age-intensity patterns of
these species. This pattern is also apparent at the family level (Chai et al.
1985, Forrester et al. 1988, 1990, Chan, Bundy & Kan 1994).
Worm burden and age of host
Over-dispersed distributions, where the highest intensity infections are
aggregated in a few individuals of infection intensity, are observed in the
community as a whole and also in individual age-classes. The degree of
over-dispersion, however, shows some age-dependency. In hookworm
Intestinal nematode infections
247
infection the distribution becomes more over-dispersed in adults (Bradley
& Chandiwana 1990), while in A. lumbricoides and T. trichiura there is
evidence that dispersion increases to a peak in the child age groups (Bundy
et al. 1987b) and then declines in adults (Chan, Kan & Bundy 1992). These
changes reflect age-specific trends in the proportion infected (the size of
the zero class in the frequency distribution) and in the mean intensity of
infection (the mean of the distribution).
The age-dependent pattern of infection prevalence is generally rather
similar amongst the major helminth species, exhibiting a rise in childhood
to a relatively stable asymptote in adulthood. Maximum prevalence is
usually attained before 5 years of age for A. lumbricoides and T. trichiura,
and in young adults with hookworm infection. In A. lumbricoides there
is often a slight decline in prevalence during adulthood, but this is less
common with the other major nematode species.
Prevalence data indicate the proportion of individuals infected and do
not provide a simple indication of the number of worms harboured. The
marked non-linearity of this relationship is a direct statistical consequence
of the over-dispersed pattern of intensity (Guyatt et al. 1990). If worm
burdens were normally distributed, there would be a linear relationship
between prevalence and intensity (Anderson & May 1985). This is an
important relationship since it is central to the method of extrapolation
from infection prevalence to infection intensity described in this chapter.
It is worth emphasising, therefore, that the relationships are firmly based
on empirical studies of the major species of intestinal helminths (Guyatt
et al. 1990, Lwambo et al. 1992, Booth 1994).
The lack of simple correspondence between prevalence and intensity
has the consequence that the observed age-prevalence profiles provide
little indication of the underlying profiles of age-intensity. For most helminth species the initial rise in intensity with age closely mirrors that of
prevalence but occurs at a slightly slower rate. Maximum intensity occurs
at a host age which is parasite species-specific and dependent on parasite
longevity, but independent of local transmission rates (Anderson 1986). For
A. lumbricoides and T. trichiura maximum worm burdens occur in human
populations at 5–10 years of age and for hookworms at 20–25 years.
The most important differences in the age-intensity profiles of these
species become apparent after peak intensity has been attained. A. lumbricoides and T. trichiura both exhibit a marked decline in intensity to a low
level which then persists throughout adulthood. Age-profiles based on
egg density in stool had suggested that there was considerable variation
in the patterns seen in hookworm (Behnke 1987, Bundy 1990), but it now
appears, from studies where burdens have been enumerated by anithelminthic expulsion, that the intensity attains a stable asymptote, or rises
marginally, in adulthood (Pritchard et al. 1990, Bradley et al. 1992).
Thus, for those species with convex age-intensity profiles, but asymptotic age-prevalence profiles, a similar proportion of children and adults
are infected but the adults have substantially smaller worm burdens. With
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Global Epidemiology of Infectious Diseases
hookworm infection, where both prevalence and intensity are asymptotic,
more adults are infected and they have larger worm burdens.
Definition and measurement
For most helminthiases, the relationship between infection and disease
is likely to be non-linear and complex. If we accept, for the moment, the
simple premise that only heavy worm burdens cause disability, then it is
apparent that disability will have an age-dependent distribution, since
intensity is age-dependent, and also that disability will have an over-dispersed pattern even within the susceptible age-classes. The relationship is
further complicated by the non-linear relationship between the severity
of disease and the intensity of infection, and by the interaction between
symptomatology and the chronicity of infection. Helminthic infection does
not inevitably lead to disease: a failure to appreciate this has led to apparently contradictory results from morbidity studies and may be the major
contributor to the under-recognition of the public health significance of
helminthiasis (Cooper & Bundy 1987, 1988).
An essential prerequisite, therefore, to assessing the global burden of
disease is the estimation of the sub-population of the infected population
that has a sufficiently large worm burden to put them at risk of disability.
This requires some method of relating prevalence of infection data, which
are available from empirical studies in all geographical regions, to intensity
of infection data, which are not. In this section we describe procedures for
extrapolating intensity from prevalence survey data, and for partitioning
the risk of disability.
Worm burdens and morbidity
There is a general acceptance of the simple view that very intense infection
results in illness, a view that reflects both clinical experience of overwhelming infection and, perhaps equally importantly, an atavistic repugnance
at the insidious invasion of the body by large numbers of worms. Such
extremes of infection result in the severe anaemia of necatoriasis and the
intestinal obstruction of ascariasis (Stephenson 1987), and the chronic
colitis of classical trichuris dysentery syndrome (Cooper & Bundy 1988).
That helminth morbidity is dependent on infection intensity is, from this
perspective, uncontroversial. An understanding of the pattern of the relationship between infection intensity and clinical signs has proven more
elusive. This appears to be the result of two main factors.
First, intensity and pathogenesis are non-linearly related. Studies of
the anaemia associated with hookworm infection indicate that there is a
disproportionate reduction in plasma haemoglobin concentration after
some threshold worm burden is exceeded. Although profound anaemia
is associated with thousands of worms, clinically significant anaemia can
be induced by a few hundred worms, the precise threshold depending on
the host’s iron status (Lwambo, Bundy & Hedley 1992). Note that this
Intestinal nematode infections
249
occurs despite the constant per capita blood loss attributable to hookworm
feeding (Martinez-Torres et al. 1967), which might intuitively be expected
to give a linear relationship between burden and anaemia. Studies of protein-losing enteropathy in trichuriasis also indicate a non-linear relationship with worm burden (Cooper et al. 1990). The rate of gut clearance
of a-1-antitrypsin at first rises rapidly with increasing worm burden to a
threshold and rises more slowly thereafter. The relationship is markedly
non-linear. This implies that significant intra-lumenal leakage of protein
can occur with T. trichiura burdens of a few hundred worms. The clinical
consequences of this loss will be determined by the nutritional and dietary
status of the host and by the chronicity of infection (Cooper, Bundy &
Henry 1986). In one study, children with the classical Trichuris Dysentery
Syndrome had all experienced mucoid dysentery and rectal prolapse for
more than three years (Cooper & Bundy 1987, 1988).
The second reason for the lack of understanding of the relationship
between intensity and disease is the difficulty of measuring and attributing
morbidity. This is in part the classical epidemiological problem of identifying specific morbidity in an endemic population subjected to multiple
insults (Walsh 1984). It is exacerbated for helminth infection, however, by
the absence of pathognomonic signs in moderate, but clinically significant,
infection. This problem has been addressed by intervention trials using
specific antihelminthic therapy. Such studies have shown, for example,
significant improvements in linear growth after treatment of moderately infected and stunted children with hookworm, A. lumbricoides or
T. trichiura infection (Stephenson 1987, Stephenson et al. 1990, Cooper
et al. 1990). Even more subtle consequences of infection are suggested by
recent double-blind placebo trials, which show significant improvement
after antihelminthic treatment in the cognitive ability of school-children
moderately infected with T. trichiura (Nokes et al. 1991, 1992a). These
results suggest that even moderate helminthic infection may have insidious
consequences that are unlikely to be attributed to helminthiasis in public
health statistics. In one study of a village population with hyperendemic
geohelminthiasis (Cooper, Bundy & Henry 1986), only 2 per cent of actual
morbidity had been reported to the health authorities.
Some insights into the relationship between infection and disability can
be provided by data analysis (Guyatt et al. 1990, Lwambo, Bundy & Medley 1992). Empirical studies can provide estimates of the threshold number
of worms associated with risk of disability (see above). Then, using models
which describe the empirical relationship between infection intensity and
prevalence, it is possible to estimate the proportion of individuals in whom
the threshold worm burden is exceeded (and are thus are likely to suffer
disability) at a given prevalence of infection. Non-linear relationships of
this form have been shown in studies of schistosome infections, for which
adequate country based morbidity data are available (Jordan & Webbe
1982). There is a need to obtain similar data for intestinal nematodes,
but this is currently confounded by the difficulties in estimating morbidity
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Global Epidemiology of Infectious Diseases
directly for these infections. One important conclusion of this analysis,
however, is that the threshold need not be precisely defined, since the form
of the relationship between infection and disease is relatively insensitive to
the threshold value, provided the value is relatively large (> 20 worms).
These analyses indicate that the proportion at risk of disability increases
dramatically as infection prevalence rises. For example, if 25 A. lumbricoides worms are associated with disease, then 20 per cent of the population will be at risk at an infection prevalence of 80 per cent, and less than
2 per cent at an infection prevalence of 70 per cent. It is worth noting
that both these infection prevalences could reasonably be considered to be
high, which may help explain why studies of helminth morbidity in “high”
prevalence areas often reach very different conclusions about the public
health significance of helminthiasis (for example, Keusch 1982).
The relationships described here form the basis for the extrapolation
procedure developed in this chapter. This procedure involves the use of
infection prevalence survey data from individual countries to give an
estimate of regional and global prevalence of infection. Empirical data
are then used to estimate the fraction of this infected population which
is at risk of disability. The following sections describe this procedure and
discuss the validity of its assumptions.
Estimation of risk of disability from infection
prevalence data
The risk of disability is estimated on the basis of the relationship between
worm burden and prevalence of infection. The frequency distribution of
worm burdens between individuals has been consistently shown to be
highly over-dispersed. Within a community, the majority of people have
few or no worms and a few people have very high worm burdens. Observed
distributions can be represented empirically by a negative binomial distribution (Anderson & Medley 1985, Guyatt et al. 1990, Lwambo, Bundy &
Medley 1992, Bundy & Medley 1992). This theoretical distribution has
two parameters, the mean worm burden, m, and the aggregation parameter,
k (see Anderson and Medley, 1985 for explanation of this parameter).
General values used in this study are k = 0.54 for A. lumbricoides (Guyatt
et al. 1990), k = 0.23 for T. trichiura (Booth 1994) and k = 0.34 for hookworms (Lwambo, Bundy & Medley 1992). These values are estimated
from empirical data from field surveys that estimated the distribution of
intensity in human populations.
The basis for estimating potential disability is that a) the risk of disability is higher in individuals with higher worm burdens and b) there
is some threshold worm burden above which disability is more likely to
occur (Table 9.1). The proportion of the population with worm burdens
higher than this threshold can then be estimated from the negative binomial distribution (Guyatt & Bundy 1995, Lwambo, Bundy & Medley
Intestinal nematode infections
Table 9.1
251
Worm burden thresholds for morbidity used in the model
Higher estimate,
lower threshold
Lower estimate,
higher threshold
0–4
5–9
10–14
15+
10
15
20
20
20
30
40
40
T. trichiura
0–4
5–9
10–14
15+
90
130
180
180
250
375
500
500
Hookworms
0–4
5–9
10–14
15+
20
30
40
40
80
120
160
160
Species
Age (years)
A. lumbricoides
Note: The lower thresholds are based on empirical observations of worm numbers associated with developmental deficits. The higher thresholds are a more conservative value intended to provide a lower bound to
the estimate of morbidity. The thresholds were estimated for children in the 5–10 year age group, and then
adjusted for other age group using the procedure described in the text. The lower threshold estimate for
Ascaris lumbricoides assumes that 30 000 eggs per gram (epg) is associated with deficits in growth and fitness
(see Stephenson et al. 1989,1990) and that worm fecundity is equivalent to approximately 3000 epg for female
worm. The higher threshold assumes that morbidity is associated with twice this burden. The Trichuris trichiura
lower threshold is taken from studies of growth stunting in 5–10 year old children (Cooper et al. 1990), while
the higher threshold is estimated from studies of clinical colitis (ES Cooper, personal communication). The
hookworm thresholds are based on upper and lower bound estimates of the relationship between infection
intensity and anaemia (Lwambo, Bundy & Medley 1992).
1992, Medley, Guyatt & Bundy 1993). This approach is necessarily an
approximation, since the effects of a given worm burden on an individual
will be modified by that individual’s condition (e.g. nutritional status and
concurrent infections) and the chronicity of the infection.
Studies indicate that developmental effects of infection (e.g. cognitive
and growth deficits) occur at lower worm burdens than the more serious
clinical consequences. We therefore use two sets of thresholds for each
species, where the lower threshold corresponds to a higher estimate of
potential disability from cognitive and growth deficits. These thresholds
are shown in Table 9.1. The thresholds for A. lumbricoides and T. trichiura correspond to those given by Chan et al. 1994. The thresholds for
hookworm have been adjusted downwards. This reflects the analyses
presented by Crompton & Whitehead (1993), and the observation that
the thresholds reviewed by Lwambo, Bundy & Medley (1992) apply to
adults rather than children, as had been assumed in the previous calculations. Because children are smaller than adults, it is assumed that a similar
worm burden is associated with more morbidity in children.
There is a lack of data on the relationship between disability threshold
and age. However, since a given worm burden is more likely to cause
disability in children than in adults, the use of a single, age-independent
threshold would tend to considerably overestimate the potential disability.
252
Global Epidemiology of Infectious Diseases
In order to approximate this age effect, in the absence of empirical data,
the same proportional changes with age are used for all worm species.
The threshold for children under 5 years of age was taken as 50 per cent
of that for adults (i.e. adults require twice the worm burden of pre-school
children before suffering ill effects), for 5–9 year old children it was taken
as 75 per cent of that for adults, and the adult threshold was used for 10–14
year old children (Table 1). These estimates are, we believe, conservative;
but they are not firmly based on empirical observation.
Other age-dependent differences are also incorporated into the model.
A. lumbricoides and T. trichiura infections are usually more prevalent in
children, whereas hookworm infections are more prevalent in adults. For
simplicity, a single age-prevalence relationship (one for each species) was
used, based on the typical age-prevalence relationship observed in field
studies (Table 9.2). The use of different prevalences for different age groups
implies that a separate negative binomial distribution must be calculated
for each age group. In order to ensure that the overall prevalence remains
unchanged by this procedure, the observed demographic age distribution
of the population must be taken into account. The effect of host age on the
aggregation parameter (k) remains undefined, and the present framework
uses a single (species-specific) aggregation parameter for all age groups.
Incorporating geographical heterogeneity
The prevalence of infection is non-linearly related to the mean intensity
of infection in a community, such that the proportion of the population
potentially suffering morbidity is disproportionately greater at higher levels
of prevalence (Guyatt & Bundy 1991). If the average prevalence among
communities is used as a basis for estimating intensity (and potential
disability) for a geographical region, this will grossly underestimate the
actual morbidity. It is therefore necessary to incorporate geographical
Table 9.2
Age weights for prevalences used in the model
Species
Age (years)
A. lumbricoides
0–4
5–9
10–14
15+
Age weight
0.75
1.2
1.2
1
T. trichiura
0–4
5–9
10–14
15+
0.75
1.2
1.2
1
Hookworms
0–4
5–9
10–14
15+
0.2
0.5
0.9
1
Intestinal nematode infections
253
heterogeneity in prevalence within the estimation procedure (Chan et al.
1994). Spatial heterogeneity in intestinal nematode infection is a relatively
neglected area of study (Bundy et al. 1991, Booth & Bundy 1992) but its
potential importance has been convincingly demonstrated for microparasitic infections (Anderson 1982, May & Anderson 1984).
Heterogeneity was considered at several geographical levels in the
extrapolation procedure. The highest level is the regional level, as defined
for the eight World Bank regions. Two regions (EME and FSE) were
excluded from the analysis since the prevalences of intestinal nematode
infections are very low. The remaining six regions were then divided into
“population units” of 20 to 100 million people for which mean prevalence
values, based on empirical data, were input into the model. Generally
these population units coincide with politically defined countries (which
is the unit for which prevalence data are most readily available) but some
countries with exceptionally large populations, especially China and
India, were subdivided into smaller units based on states or provinces for
prevalence estimates.
The subdivision of a region into population units captures some geographical heterogeneity, but this does not include the heterogeneity within
the population unit (or country). Literature searches yielded suitable data
for examining intra-country variation in the six geographical regions.
The level of heterogeneity among communities within the same country
was assessed using community-level estimates of prevalence from different studies. Variation in prevalence within countries was estimated for 9
countries for A. lumbricoides, 8 countries for T. trichiura, and 10 countries for hookworm. The number of prevalence surveys available within
each country ranged from 21 to 115. A total of 1600 prevalence surveys
were examined in this analysis. The within-country distributions differed
between worm species and between countries but were not markedly
skewed or asymmetrical. Good correspondence was found between the
data and the theoretical normal distribution which was therefore used.
Highly significant positive correlations between mean and standard
deviation were observed for A. lumbricoides and T. trichiura distributions.
Therefore, an estimate of “typical” geographical heterogeneity within a
population unit could be estimated for these species from the regression.
Hookworm distributions show a wider range of standard deviations and
there was no significant correlation between these and the means. This
may reflect the fact that the hookworm data include undifferentiated
estimates for two quite different parasite species (A. duodenale and N.
americanus). This additional source of variation was captured by taking
the mean of the standard deviations as an estimate of heterogeneity within
the population unit.
These estimates of the geographical variation in prevalence within a
population unit were assumed characteristic of each species and were
incorporated in the model for all subsequent calculations.
254
Global Epidemiology of Infectious Diseases
Summary of estimation procedure assumptions
The framework for estimation of the population at risk of disability
involves a set of assumptions about the patterns of infection observed at
both the community and the regional level.
Community-level assumptions
 Worm burden frequency distributions are adequately described by
the negative binomial distribution. This probability distribution is the
most widely accepted empirical description of observed worm burden
distributions (Anderson & May 1991). However, it has been shown in
some parasite species to underestimate the proportion of very low worm
burdens and thus, potentially, overestimate the number of people in the
higher worm burden classes. This could lead to an overestimation of
the population at risk.
 The frequency distribution of worm burdens is species-specific and
largely independent of geographical region, infection prevalence or
age group. Analyses of the available empirical data suggest that the
degree of aggregation, as assessed by the negative binomial parameter,
k, is remarkably consistent between studies and largely independent
of geographical region for all the nematode species considered here
(Guyatt et al. 1990, Lwambo, Bundy & Medley 1992, Booth 1994).
There is some evidence that k increases slightly with prevalence of
A. lumbricoides (Guyatt et al. 1990) and even more marginally with
hookworm prevalence (Lwambo, Bundy & Meadley 1992). Exclusion
of this effect would lead to overestimation of potential morbidity. There
is conflicting and limited evidence for the relationship between worm
burden distribution and age, with some studies showing an increase
and others a decrease in aggregation with age (Bundy et al. 1987b).
The current assumption of an age-independent distribution could lead
to either overestimation or underestimation of potential morbidity.
 Disability occurs above a worm burden threshold that is higher for
adults than children. Thresholds were estimated from empirical data
(Table 9.1). Two sets of thresholds were used for each species. An overestimate of the threshold worm burden would lead to an underestimate
of potential morbidity and vice versa. No information is available on
the variation of the threshold with age.
 The age prevalence profile can be generalized between communities. A
similar general pattern is seen when age prevalence profiles from different studies of the same species are compared (Anderson & May 1985).
The effect on the estimates of changing the shape of the age-prevalence
profile are likely to be complex but, in general, the larger the differences
in prevalence between different age groups, the higher the estimate of
population at risk.
Intestinal nematode infections
255
Regional-level assumptions
 Infection prevalences between communities in the same country are
normally distributed. Examination of the actual distributions suggested
that a normal approximation would be appropriate (Chan et al. 1994).
The use of a symmetrical distribution is the most conservative assumption since with a skewed distribution with the same mean (such as the
negative binomial distribution), the frequency of very high prevalences
will be increased. The current assumption may therefore tend to underestimate the population at risk.
 The standard deviations of these normal distributions increase linearly
with the mean prevalence for A. lumbricoides and T. trichiura and are
independent of mean prevalence for hookworms. These assumptions
are the best available estimates of the effect of spatial heterogeneity on
the prevalence distribution, and are based on data presented by Chan
et al. (1994).
 The mean standard deviation relationship is the same in different geo-
graphical regions of the world. The data available suggest a consistent
relationship but there are insufficient data to assess this relationship by
region. It is not known if there are any regional differences nor whether
these might increase or decrease the estimates.
 A population unit of 20 to 100 million people is a sufficiently fine-
grained spatial stratification to capture geographical variation in a
population of 4.1 billion people. The size of this unit is constrained by
the availability of empirical data. Larger units would reduce the precision of the estimates of potential morbidity.
Estimation procedure
The method used for estimation is essentially an integration of all the processes described in the text. Fuller details are given by Chan et al. (1994).
In summary, the procedure involved the following steps.
1. Country (or other population unit) prevalence data were obtained and
divided into prevalence classes. Five prevalence classes were defined and
an intermediate prevalence value (S) was used for calculation purposes.
These classes are shown in Table 9.3. In this round of calculations the
highest two prevalences classes were combined and the set prevalence
of the lower class was used for estimation (67 per cent) of community
morbidity. This was necessary because with very high prevalences, the
negative binomial distribution greatly overestimates potential morbidity.
This calculation is not exactly equivalent to merging the two highest
prevalence classes since countries in class 5 have a different distribution
of community prevalences with a greater proportion in the class 4+5.
The estimated morbidity for these countries will therefore be higher.
256
Global Epidemiology of Infectious Diseases
Table 9.3
Prevalence classes and reference (set) prevalences used in
the model
Class
Prevalence range
(percentage)
Reference prevalence
(percentage)
1
2
3
4
5
4+5a
< 25
25–45
45–60
60–75
75–100
60–100
10
35
52
67
80
67
a. Combined classes 4 and 5 were used for community prevalence distribution.
2. The total populations in each prevalence class were multiplied by the
transition matrix (M) to give an estimated community distribution of
prevalences for the region (C). The matrix is derived using the following procedure. For each reference prevalence class in the estimation,
a normal distribution for the individual community prevalence class
distribution in the countries concerned was calculated. For A. lumbricoides and T. trichiura a standard deviation that increased with mean
was used, whereas with hookworms a constant standard deviation
given by the average standard deviation of the data sets was used. The
regional community distribution of prevalences can then be obtained
by multiplying a vector of the country mean prevalence distribution
with a species-specific transition matrix which consists of the calculated
normal distributions: C = R.M.
The community prevalence distribution has one zero prevalence
class and four non-zero-prevalence classes equivalent to the four
lower prevalence classes of the country prevalence distribution (Table
9.3). Note that in the previous estimation (Chan et al. 1994) a fifth
prevalence class (> 75 per cent) was included. This is now considered
to over-emphasize the top end of the prevalence range and thus to
overestimate the population at risk, and was therefore not used in the
present calculations.
The transition matrices used for each of the species are shown respectively, in Tables 4a, 4b and 4c.
3. Using regional demographic data, the population is divided into classes
of community prevalence and age group and the age-weighted prevalence is calculated for each of these classes. The age weights (A) are
shown in Table 9.2. Given a community prevalence si for prevalence
class i, the prevalence in adults (pi,15+) is given by:
pi,15+ =
∑
j
si
(a jd j)
Intestinal nematode infections
Table 9.4a
257
Transition matrix for Ascaris lumbricoides
Community prevalence distribution
Reference class
1
2
3
4
5
0
1
2
3
4+5
0.251
0.081
0.057
0.021
0
0.590
0.264
0.149
0.081
0.048
0.149
0.310
0.214
0.149
0.097
0.010
0.186
0.175
0.169
0.133
0
0.159
0.405
0.580
0.722
Note: A zero class community distribution denotes a prevalence of 0%.
Table 9.4b
Transition matrix for Trichuris trichiura
Community prevalence distribution
Reference class
1
2
3
4
5
0
1
2
3
4+5
0.288
0.097
0.068
0.028
0.011
0.509
0.259
0.153
0.087
0.047
0.177
0.288
0.200
0.149
0.101
0.026
0.180
0.170
0.157
0.125
0
0.176
0.409
0.579
0.716
Note: A zero class community distribution denotes a prevalence of 0%.
Table 9.4c
Transition matrix for hookworms
Community prevalence distribution
Reference class
1
2
3
4
5
0
1
2
3
4+5
0.309
0.040
0
0
0
0.464
0.269
0.089
0.018
0
0.187
0.382
0.274
0.118
0.040
0.04
0.203
0.292
0.227
0.119
0
0.106
0.345
0.637
0.841
Note: A zero class community distribution denotes a prevalence of 0%.
where aj is the age weight for age group j and dj is the proportion of
the population in age group j. The age specific prevalence in the other
age groups are then given by:
pij = pi,15+ a j .
4. For each of the classes, using the species-specific aggregation parameter
(k) and age specific morbidity threshold (ttj), the potential morbidity
estimate (eij) is calculated using the negative binomial distribution. This
theoretical distribution has two parameters, the mean worm burden µ,
and the aggregation parameter k. These are related to the prevalence
(P) in the following way:
µ −k
P = 1 − (1 + )
k
258
Global Epidemiology of Infectious Diseases
The basis for the estimation of the population at risk of disability is that
morbidity is mainly confined to the fraction of the population with high
worm burdens. A threshold worm burden (T ) is defined over which
morbidity effects are potentially observed (Table 9.1). The individual
terms of the negative binomial, p(x),(the proportion of individuals with
x worms) are given by:

µ
π (x) =  1 + 
k

−k
 Γ(k + x)   µ 



 x! Γ(k)   µ + k 
x
where Γ represents the gamma function. The proportion of the population with more than (T) worms (the morbidity function Morb(P,T)) is
therefore given by:
x =T
Morb(P, T ) = 1 −
∑ π (x )
x=0
The potential morbidity estimate (eij) is obtained by multiplying the
morbidity function by the population in each class (nij):
e ij = nij Morb(pij , t j)
5. The above estimates are summed to give the age specific population at
risk estimates for each region (ffj):
fj =
∑ eij
i
These procedures were followed for each of the parasitic infections
under consideration.
Estimates of population infected and at risk
of disability
The estimates of population infected and at risk or disability are shown in
Tables 9.5 to 9.7. For each nematode species, these estimates are given for
different age classes and for different geographical regions. Two estimates
of population at risk were used for each infection, based on different estimates of worm burden thresholds. Both thresholds are based on empirical
data and were chosen to be relatively conservative. The lower estimate of
worm burden reflects probable developmental consequences of infection
such as impaired growth or fitness, while the higher estimate is intended
to reflect the likelihood of more serious consequences of infection.
The estimates of population infected are all slightly lower than those
presented by Chan et al. (1994), because of the exclusion of the highest reference prevalence class from the present extrapolation procedure.
This has had an even greater effect on reducing the estimated size of the
Intestinal nematode infections
Table 9.5a
Region
259
Estimates of numbers infected and at risk of disability for
Ascaris lumbricoides, by World Bank region
Population
(millions)
Infections
(millions)
Infections (as a
percentage)
Population at
risk (millions)
Population at risk
(percentage)
SSA
512
104
20.25
3.04
0.78
0.59
0.15
LAC
441
171
38.76
8.04
1.92
1.82
0.44
MEC
503
96
19.15
2.94
0.74
0.58
0.15
IND
850
188
22.13
6.60
1.62
0.78
0.19
1 160
532
45.85
25.320
5.72
2.18
0.49
OAI
654
291
44.53
16.380
3.99
2.50
0.61
Total
4 120
1 382
CHN
Table 9.5b
Age group
(years)
62.320
14.760
Estimates of numbers infected and at risk of disability for
Ascaris lumbricoides, by age group
Population
(millions)
Infections
(millions)
Infections
(percentage)
Population at
risk (millions)
Population at risk
percentage)
0–4
553
130
24
1.84
0.05
0.33
0.01
5–9
482
182
38
27.810
9.45
5.77
1.96
10–14
437
169
39
17.990
4.65
4.12
1.06
15+
2 647
901
34
14.680
0.61
0.55
0.02
Total
4 120
1 382
34
62.320
14.760
1.51
0.36
population at risk of disability from ascariasis and trichuriasis, and on the
estimated population above the high threshold for hookworm infection.
The estimated population above the lower threshold of hookworm burdens
has, however, increased as a result of the change in threshold.
The estimates for A. lumbricoides are shown in Table 9.5. The estimated total number of A. lumbricoides infections is 1382 million, slightly
higher than estimates from other sources (World Health Organization
1987, Crompton 1988, Bundy 1990). The number at risk of morbidity is
estimated in the range 15–63 million. The overall infection prevalence is
34 per cent in the exposed population while the prevalence of those at risk
260
Global Epidemiology of Infectious Diseases
Table 9.6a
Region
Estimates of numbers infected and at risk of disability for
Trichuris trichiura, by World Bank region
Population
(millions)
Infections
(millions)
Infections
(percentage)
Population at
risk (millions)
Population at risk
(percentage)
SSA
512
85
16.57
2.21
0.97
0.43
0.19
LAC
441
146
33.16
7.27
2.97
1.65
0.67
MEC
503
64
12.64
0.04
0.00
0.01
0.00
IND
850
134
15.78
3.02
1.25
0.36
0.15
1 160
340
29.29
17.290
6.65
1.49
0.57
OAI
654
238
36.41
15.700
6.54
2.40
1.00
Total
4 120
1 007
24.43
45.530
18.390
1.11
0.45
CHN
Table 9.6b
Age group
(years)
Estimates of numbers infected and at risk of disability for
Trichuris trichiura, by age group
Population
(millions)
Infections
(millions)
Infections
(percentage)
Population at Population at risk
risk (millions)
(percentage)
0–4
553
96
17.38
0.04
0.00
0.01
0.00
5–9
482
135
28.04
19.920
10.400
4.13
2.16
10–14
437
125
28.60
15.930
7.69
3.65
1.76
15+
2 647
650
24.57
9.63
0.30
0.36
0.01
Total
4 120
1 007
24.43
45.530
18.390
1.11
0.45
in the exposed population is between 0.4 per cent and 1.5 per cent. The
highest prevalences are found in China and the Other Asia and Islands
region.
The model assumes that prevalence of A. lumbricoides infection is
slightly higher in children of 5 to 15 years old than in adults and younger
children (Anderson & May 1985). The results show that this difference is
greatly magnified in the estimates of population at risk, such that potential
morbidity is significantly higher in school age children than in any other
Intestinal nematode infections
Table 9.7a
Region
261
Estimates of numbers infected and at risk of disabililty for
hookworm, by World Bank region
Population
(millions)
Infections
(millions)
Infections
(percentage)
Population at
risk (millions)
Population at risk
(percentage)
SSA
512
138
26.93
18
8
2.46
1.06
LAC
441
130
29.40
15
3
3.44
0.70
MEC
503
95
18.81
8
2
1.54
0.47
IND
850
306
36.00
47
11
5.48
1.32
1 160
340
29.29
29
3
2.47
0.24
OAI
654
242
37.04
35
8
5.29
1.29
Total
4 120
1 250
30.34
151
36
3.66
0.87
CHN
Table 9.7b
Age group
(years)
Estimates of numbers infected and at risk of disability for
hookworm, by age
Population
(millions)
Infections
(millions)
Infections
(percentage)
Population at
risk (millions)
Population at
risk (percentage)
0–4
553
41
7.35
0
0
0.00
0.00
5–9
482
89
18.54
0
0
0.00
0.00
10–14
437
145
33.31
10
1
2.29
0.16
15+
2 647
975
36.81
141
35
5.33
1.32
Total
4 120
1 250
30.34
151
36
3.67
0.87
age group. This is a result of the non-linear relationship between prevalence
of infection and potential morbidity (Guyatt et al. 1990).
The estimates for T. trichiura are shown in Table 9.6. The totals show
a lower number of infections than for A. lumbricoides, there being 1007
million infections resulting in a global prevalence of 24 per cent. The total
population at risk is also lower for T. trichiura, in the range 18–45 million.
As with A. lumbricoides, the highest prevalences of disability risk are found
in Other Asia and Islands, in China and in children of school age.
The estimates for hookworm infections are shown in Table 9.7. There
262
Global Epidemiology of Infectious Diseases
are an estimated 1250 million hookworm infections and between 36 million
and 151 million people at risk of disability. The distributions of infection
and morbidity, both by age and region, are different from those for A.
lumbricoides and T. trichiura. The disability risk attributable to hookworm
infections is much higher in adults. The regional distribution is also different, with the highest prevalence of estimated disability in India.
Review of empirical databases by region
Direct estimates of the community morbidity attributable to intestinal
helminthiases are unavailable. Hence the disability-adjusted life year
(DALY) estimates are based on extrapolating the population at risk
(intensely infected) from empirical observations of the proportion of the
population infected.
The data on prevalence of infection used in the current estimation are
from a database held at Oxford University, derived from field survey data
compiled for a UNESCO report on global prevalence of helminth infection
(Bundy & Guyatt 1990). They are based on an extensive search of the
original literature and, as far as possible, represent data collected within
the last 20 years; older data were used only if no other data were available for a particular country. Additional criteria for data selection include
large sample size and community-based studies (i.e. not hospital records
or institutional data). The number of studies available for each country
varied, hence the reliability of the estimate for mean prevalence also varies.
For the majority of countries, the sample size was at least several thousand
individuals. Note that the data presented in Table 9.8 exclude a substantial
number of unpublished surveys used in the actual analysis.
The survey estimates are based on the microscopic detection of parasite
eggs in faecal specimens. While A. lumbricoides and T. trichiura eggs can
be readily identified, the eggs of the two hookworm species, Ancyclostoma
duodenale and Necator americanus, cannot be distinguished by normal
diagnostic methods and are recorded here as the combined prevalence of
both species. The stool examination procedure also fails to detect light
infections, particularly when single examinations are made as in the case
of field surveys (Hall 1982). Furthermore, the procedure will not detect
non-fecund infections (e.g. single worm or single sex) which may represent a significant minority of infections (Guyatt 1992, Guyatt & Bundy
1995). Thus the survey data are conservative and underestimate the true
prevalence of infection.
Estimation of DALYs
The analyses to this point have produced estimates of the size of the populations with worm burdens that are likely to result in some form of disability.
This section focuses on the estimation of the proportion of the population
at risk who are likely to be disabled and the degree of disability, and how
214
126
88
32 276
1 059
5 506
2 684
684
422
690
217
3 313
Central African
Republic
Gabon
Gambia
Ghana
Liberia
Madagascar
Madeira
Ethiopia
1 572
423
135
913
27 040
5 040
Cape Verde
Burkina Faso
Cameroon
Benin
Sample size
21
3
4
8
1
2
5
3
2
290
41
95
1
1
2
530
18
Number
of sites
39
29
52
17
61
7
40
19
72
0.5
45
60
Ascaris
30
19
20
0.5
68
40
17
53
35
Trichuris
Prevalence estimate
(percentage)
17
60
A.d = 30
A.d = 18
N.a = 0.1
N.a = 20
A.d = 1
43
N.a = 34
A.d = 83
N.a = 49
N.a = 19
Hookworma
Garin 1978, Richard-Lenoble 1982
McGregor & Smith 1952; Marsden 1963
Annan et al. 1986
Sturchler et al. 1980
Cerf, Burgess & Wheeler 1981
Santos 1952
Tedla & Ayel 1986
Taticheff, Abdulahi & Haile-Meskal 1981
continued
Pampliglione & Ricciardi 1971
Faucher et al. 1984
Ratard et al. 1991
Carrie 1982, Ripert et al. 1978, Ripert, Leugueun-Ngougbeou &
Same-Ekobo 1982
de Meira, Nogueira & Simoes 1947 Barbosa 1956, Nogueira &
Coito1950
Ricciardi 1972
Brumpt et al.,1972
Source
Summary of prevalence studies of helminth infections, by World Bank region and country or area
Sub-Saharan Africa
Country or area
Table 9.8
Intestinal nematode infections
263
China
India
Togo
Uganda
United Republic of
Tanzania
Zambia
Zimbabwe
Nigeria
Réunion
Senegal
Somalia
Sudan
Malawi
Mali
Country or area
Table 9.8
1 477 742
2 843
59
48
17
4 920
38 484
595
23 949
1 270
6+
3
1
10
4
5
3
6
10
4
5
3
93 504
157
276
289
2 174
2 974
1 797
1 266
2 803
359
556
319
Sample size
Number
of sites
47
8
0.5
7
0
2
67
49
36
13
4
0.5
Ascaris
19
16
0.5
1
0
43
46.5
85
15
34
0.5
Trichuris
Prevalence estimate
(percentage)
17
13
10
0
A.d. =7
38
N.a. = 62
A.d. = 8
N.a. = 58
31
24
N.a = 9
15
Hookworma
Yu 1994
Saxena & Prasad 1971
Bidinger, Crompton & Arnold 1981; Arora 1975; Chowdury 1968;
Chatterjee & Mukhopadhyay 1985; Mukerji & Mathen 1950; Lane
et al. 1917; Bagchi, Prasad & Mathur 1964; Sanyal et al. 1972
Wenlock & Ash 1977
Goldsmid et al. 1976
Blackie 1932; Goldsmid 1976
Oduntan 1974
Bonnefoy & Lsautier 1978
Juminer, Diallo & Laurens 1971
Bianchini et al. 1981
Ilardi et al. 1980, 1981, 1987
Kuntz, Lawless & Mansour 1955
Lapierre, Tourte-Schaeffer 1982
Sorvillo 1982
Sturrock 1964
Burgess, Burgess & Wheeler 1973
Rougement et al. 1974
Ranque 1982
Source
Summary of prevalence studies of helminth infections, by World Bank region and country or area (continued)
264
Global Epidemiology of Infectious Diseases
Guatemala
Mexico
Surinam
Costa Rica
Dominica
Ecuador
Brazil
Chile
Latin America & Caribbean
Viet Nam
Singapore
Taiwan, China
Thailand
2 511
34 799
90 277
33 161
1 000
3 970
1 568
15 383
604
854
10
38
81
3
2
14
12
1
1
10
30
33
32
4
3
7
7
85
101
8
96 075
1 304
1 023
1 300
286
614
622
67 300
68 153
409
Philippines
1
11
398
2 493
Republic of Korea
Lao People’s Democratic Republic
Malaysia
Papua New Guinea
77
51 364
Indonesia
Other Asia & Islands
73
62
62
12
38
50
60
19
33
45
91
6
54.8
48
24
14
49
71
33
4
N.a. = 11
26
28
92
60
1819
67
45
27
35
57
36
14
37
7
72
22
2
69
72
44
5.8
49
0.5
A.d = 41
29
55
42
50
48
continued
Vinha 1971
Neghme & Silva 1952, 1963, 1983; Schenone et al. 1981; Ramirez et
al. 1972; Puga et al. 1980
Zamora et al.1978; Rojas & Zumbado 1980
Grell & Zumbado 1981
Peplow 1982
Ortiz 1969
Aguilar 1981
Stoopen & Beltran 1964
Asin & van Thiel 1963
Kan 1982, 1985; Russell 1928, 1934; Dunn 1972 Sinniah et al. 1978
Ashford et al. 1981
Shield et al. 1986
Cross et al. 1977c
Tatengco, Marxan & Castro 1972
Desowitz 1963
Bergner 1964; Chang, Sun & Chin 1973
Jones 1976
Preuksaraj et al. 1981; Papasarathorn et al. 1975 Sadun 1955
Colwell et al. 1971
Cross et al. 1970, 1975, 1976, 1977a & b; Clarke et al. 1973; Carney
et al. 1974, 1977; Stafford et al. 1980; Joseph et al. 1978
Seo et al. 1983
Sornmani et al. 1974
Intestinal nematode infections
265
1 137
4 000
61 995
62 004
295
835
24 047
Iran
Iraq
Morocco
7
16
3
3
3
1
6
8
5
61
0.1
11
1
22
41
16
Ascaris
2
55
0.1
c. Hookworm only among Jasmin workers.
49
0
A.d = 29
1.3
A.d. = 1
17
0.5
13
Hookworma
29
Trichuris
Prevalence estimate
(percentage)
b. For hookworm, Ancylostoma duodenale accounts for 50% and Necator americanus makes up 2%.
a. N.a = Necator americanus; A.d. = Aneaslostoma duodenale.
Pakistan
Saudi Arabia
Tunisia
565
41 476
39 574
Algeria
Egypt
Sample size
Number
of sites
Kuntz 1960
El-Rahimy et al. 1986
Thiers, Lassoued & Abid 1976
Pampiglione & Hadjeres 1965
Mohamed et al. 1985
Farag 1985; Tadros 1973; Wells & Blagg 1956; Mohamed et al. 1988;
Lawless, Kuntz & Strome 1956;
Colett 1966; Nazari & Massoud 1980
Niazi et al. 1975
Cadi-Soussi et al. 1982
Source
Summary of prevalence studies of helminth infections, by World Bank region and country or area (continued)
Middle Eastern Crescent
Country or area
Table 9.8
266
Global Epidemiology of Infectious Diseases
Intestinal nematode infections
267
this varies with such factors as age and sex. It also attempts to determine
the relatively rare mortality attributed to intestinal nematode infection.
The calculation of disability-adjusted life years (DALYs) is based on the
population at risk of disability. It is assumed that there are three sources
of DALY loss: contemporaneous disability, which occurs in individuals
with worm burdens above the higher threshold in Table 9.1 and which
persists as long as the individual remains infected; chronic disability, which
occurs in a small proportion of children with worm burdens above the
lower threshold and which is life-long; and life years lost from mortality.
The sum of these three effects gives the overall DALY estimate.
Population at risk of disability
Estimates of the populations at risk of disability are shown in Tables 9.9
to 9.11. Note that these populations are not the populations infected but
some fraction of these which are at risk of disability because their worm
burdens exceed a threshold that has been shown to be associated with some
disability. For each species there are two populations considered to be at
risk, based on two estimates of threshold burden: a larger population with
worm burdens exceeding the lower threshold (associated with chronic or
developmental disability); and a smaller population with burdens exceeding
the higher threshold (associated with acute or contemporaneous disability).
The proportion of the population at risk (not
not the prevalence of infection)
is given in Tables 9.9 to 9.11.
These estimates have been recalculated and differ from the original
estimates (World Bank 1993, Chan et al. 1994). For A. lumbricoides and
T. trichiura they are substantially lower than the earlier estimates as a result
of removing the highest prevalence reference class from the extrapolation analysis. This change avoids overemphasis on the highest prevalence
classes, which contribute disproportionately to the at risk population, and
so gives a more conservative estimate. For the hookworm estimates, there
was the same change in procedure but also a change in the worm burden
thresholds. The change in thresholds was necessary to correctly assign the
thresholds to the appropriate age classes in the light of new information.
The effects of these changes for hookworm infection are to substantially
reduce the estimated size of the population above the higher threshold and
to slightly increase the population above the lower threshold.
Contemporaneous effects of infection
Given that people in endemic areas are continuously infected and reinfected
throughout life it can be assumed, for present purposes, that incidence is
numerically equivalent to prevalence and that infection duration is one
year. The contemporaneous effects are assumed to occur in 100 per cent
of the population with worm burdens above the higher threshold, and
persist as long as an individual remains infected.
With A. lumbricoides, the most common consequences of infection are
insidious effects, which are often manifested as effects on development
268
Global Epidemiology of Infectious Diseases
(reviewed by Crompton, Nesheim & Pawlowski 1989). They are, however,
contemporaneous effects in that they can be partially reversed on treatment;
that is, they occur only while infection persists. Such effects include reduction in growth rate (height-for-age and weight-for-age), physical fitness
and appetite, for school-age and younger children (Stephenson et al. 1989,
1990, 1993). There is also evidence that this infection has consequences
for congnitive ability in school-age children.
Cognitive consequences have yet to be sought in adults, but it would
be surprising if adults responded differently from children since the effect
is on ability rather than development. We assume here that adults with
above-threshold worm burdens are affected, although the proportion of
adults in this category is very small (0.02 per cent).
Table 9.9
Data for DALY calculation, Ascariasis, both sexes, 1990
Proportion at risk
Region
Age Group
Acute
Permanent
Average age
at onset
Duration
of risk
Duration of disability
Acute
Permanent
SubSaharan
Africa
0–4
5–14
15–44
45–59
60+
0
525
10
10
10
120
1 720
170
170
170
2
10
30
50
70
1
1
1
1
1
1
1
1
1
1
81.3
71.7
51.9
32.5
14.9
Latin
America &
Caribbean
0–4
5–14
15–44
45–59
60+
10
1 790
20
20
20
410
5 950
580
580
580
2
10
30
50
70
1
1
1
1
1
1
1
1
1
1
81.3
71.7
51.9
32.5
14.9
Middle
Eastern
Crescent
0–4
5–14
15–44
45–59
60+
0
555
10
10
10
120
1 815
180
180
180
2
10
30
50
70
1
1
1
1
1
1
1
1
1
1
81.3
71.7
51.9
32.5
14.9
India
0–4
5–14
15–44
45–59
60+
0
770
10
10
10
170
2 530
250
250
250
2
10
30
50
70
1
1
1
1
1
1
1
1
1
1
81.3
71.7
51.9
32.5
14.9
China
0–4
5–14
15–44
45–59
60+
20
2 810
40
40
40
600
8 870
890
890
890
2
10
30
50
70
1
1
1
1
1
1
1
1
1
1
81.3
71.7
51.9
32.5
14.9
Other
Asia &
Islands
0–4
5–14
15–44
45–59
60+
10
2 345
30
30
30
540
7 850
770
770
770
2
10
30
50
70
1
1
1
1
1
1
1
1
1
1
81.3
71.7
51.9
32.5
14.9
Intestinal nematode infections
269
The disabling consequences of reduced physical fitness and cognitive
ability have yet to be empirically quantified, as is the case for many of
the morbid effects for which DALY estimation is attempted. We assume
here, by default, that the contemporaneous effects of moderate ascariasis
result in disability at the lowest disability weight (Class 1) (Murray &
Lopez 1996).
There are also more serious consequences of infection, largely associated with obstruction of ducts and intestinal lumen by these large worms.
Systematic data on these acute complications are lacking, but the numerous
reports based on inpatient records suggest that ascariasis is an important
cause of hospitalization in endemic areas (reviewed by Pawlowski & Davies
1989). Ascariasis was the cause of 2.6 per cent of all hospital admissions
in Kenya in 1976, and 3 per cent in a children’s hospital in Myanmar
between 1981 and 1983 (Stephenson, Lathan & Oduori 1980, Thein-Hlaing 1987). Complications resulting from ascariasis accounted for 0.6 per
cent of all admissions to a paediatric surgery department in South Africa
in 1987, 5.8 per cent of emergency admissions to a hospital in Mexico
in 1975, 10.6 per cent of admissions for acute abdominal emergency to
a children’s hospital in Myanmar, and between 0.8 and 2.5 per cent of
admissions in a survey of hospitals in China (Flores & Reynaga 1978,
World Health Organization 1987, Thein-Hlaing et al. 1990). The most
common abdominal emergencies presenting are intestinal obstruction and
biliary ascariasis, the proportions varying geographically, perhaps because
of differences in diagnostic procedures (Maki 1972). The classical surgical presentation is in patients between 3 and 10 years of age, although
adults also may be affected (Davies and Rode 1982, Chai et al. 1991).
Laparotomy attributable to ascariasis was the second most common
cause of all laparotomies in 2–4 year old children in Durban, Lishiu and
Sao Paulo, and the fifth or sixth cause in adults in Myanmar, China and
Nigeria (World Health Organization 1987). Reports using unstandardized indicators indicate that between 0.02 and 0.9 per cent of infections
may require hospitalization (Pawlowski & Davies 1989), the proportion
presumably varying with the local intensity of infection. Thus of the 4.5
per cent of infected children under 10 years of age who are here estimated
to exceed the higher threshold of infection, between 0.4 and 20 per cent
are likely to require hospitalization. These children will suffer a severely
disabling condition, which may be life-threatening (see below), but which
can be alleviated by appropriate clinical management. If it is assumed that
such cases are managed appropriately, then the duration of disability is
likely to be a few weeks. Complicated ascariasis has a reported history of
over 10 days followed by 5 days of management, while the management
of biliary ascariasis involves 4–6 weeks of observation before opting for
surgical intervention (Davies & Rode 1982). The disability therefore is
considered, for the present analyses, to be contemporaneous with infection, to have a duration of 4 weeks, to have a severity of Class III (Murray & Lopez 1996), and to affect 5 per cent of children under 15 years
270
Global Epidemiology of Infectious Diseases
Table 9.10
Data for DALY calculation, Trichuriasis, both sexes, 1990
Proportion at risk
Region
Age Group
Sub-Saharan 0–4
Africa
5–14
15–44
45–59
60+
Average age Duration
at onset
of risk
Acute
Permanent
0
680
0
0
0
0
1 340
110
110
110
2
10
30
50
70
Duration of disability
Acute
Permanent
1
1
1
1
1
1
1
1
1
1
81.3
71.7
51.9
32.5
14.9
Latin
America &
Caribbean
0–4
5–14
15–44
45–59
60+
0
2 855
10
10
10
10
5 795
470
470
470
2
10
30
50
70
1
1
1
1
1
1
1
1
1
1
81.3
71.7
51.9
32.5
14.9
Middle
Eastern
Crescent
0–4
5–14
15–44
45–59
60+
0
0
0
0
0
0
30
0
0
0
2
10
30
50
70
1
1
1
1
1
1
1
1
1
1
81.3
71.7
51.9
32.5
14.9
India
0–4
5–14
15–44
45–59
60+
0
620
0
0
0
0
1 240
100
100
100
2
10
30
50
70
1
1
1
1
1
1
1
1
1
1
81.3
71.7
51.9
32.5
14.9
China
0–4
5–14
15–44
45–59
60+
0
3 380
20
20
20
10
6 475
570
570
570
2
10
30
50
70
1
1
1
1
1
1
1
1
1
1
81.3
71.7
51.9
32.5
14.9
Other Asia
& Islands
0–4
5–14
15–44
45–59
60+
0
3 980
20
20
20
20
8 050
650
650
650
2
10
30
50
70
1
1
1
1
1
1
1
1
1
1
81.3
71.7
51.9
32.5
14.9
of age with burdens exceeding the higher threshold. Note that this is a
conservative assumption since it excludes the documented, though rare,
occurrence of complications in adults. Furthermore, the case rates for
children are based on records from tertiary facilities to which a substantial
proportion of the most disadvantaged and heavily infected children may
have limited access.
With T. trichiura there is evidence that moderate intensity infections
result in growth deficits that can be reversed by the antihelminthic removal
of the worms (Cooper et al. 1990), and that these infections result in a
protein losing enteropathy and anaemia (Cooper et al. 1991, 1992, MacDonald et al. 1991, Ramdath et al. 1995). In young children there are also
Intestinal nematode infections
271
Table 9.11a Data for DALY calculation, Hookworm disease, males, 1990
Proportion at risk
Region
Average age Duration
at onset
of risk
Age Group
Acute
Permanent
Sub Saharan
Africa
0–4
5–14
15–44
45–59
60+
0
180
2 650
2 650
2 650
0
1 260
5 760
5 760
5 60
2
10
30
50
70
Latin
America &
Caribbean
0–4
5–14
15–44
45–59
60+
0
30
1 090
1 090
1 090
0
945
5 030
5 030
5 030
Middle
Eastern
Crescent
0–4
5–14
15–44
45–59
60+
0
30
770
770
770
India
0–4
5–14
15–44
45–59
60+
China
Other Asia &
Islands
Duration of disability
Acute
Permanent
1
1
1
1
1
1
1
1
1
1
80.0
70.4
50.5
31.0
13.6
2
10
30
50
70
1
1
1
1
1
1
1
1
1
1
80.0
70.4
50.5
31.0
13.6
0
480
2 400
2 400
2 400
2
10
30
50
70
1
1
1
1
1
1
1
1
1
1
80.0
70.4
50.5
31.0
13.6
0
70
2 070
2 070
2 070
0
1575
8150
8 150
8 150
2
10
30
50
70
1
1
1
1
1
1
1
1
1
1
80.0
70.4
50.5
31.0
13.6
0–4
5–14
15–44
45–59
60+
0
10
330
330
330
0
540
3 260
3 260
3 260
2
10
30
50
70
1
1
1
1
1
1
1
1
1
1
80.0
70.4
50.5
31.0
13.6
0–4
5–14
15–44
45–59
60+
0
70
2 060
2 060
2 060
0
1545
7 980
7 980
7 980
2
10
30
50
70
1
1
1
1
1
1
1
1
1
1
80.0
70.4
50.5
31.0
13.6
effects on development quotient (Griffiths locomotor subscale), anaemia
and growth that are at least partially reversible by antihelmintic therapy
(Callender et al. 1994). There is also an increasing body of evidence that
both cognitive function (Tables 9.12a and 9.12b) and educational achievement are impaired by moderate intensity infections, and that at least some
of these effects can be reversed by antihelmintic treatment (Nokes et al.
1992a, 1992b, Simeon, Grantham-McGregor & Wong 1995, Simeon et
al. 1995). As for ascariasis, it is assumed that these are contemporaneous
effects of trichuriasis and result in the lowest disability weight (Class 1).
Particularly large burdens of T. trichiura may result in the “classical”
dysenteric form of trichuriasis, synonymous with Trichuris Dysentery Syn-
272
Global Epidemiology of Infectious Diseases
Table 9.11b Data for DALY calculation, Hookworm disease, females, 1990
Proportion at risk
Region
Age Group
Average age Duration
at onset
of risk
Acute
Permanent
Sub Saharan 0–4
Africa
5–14
15–44
45–59
60+
0
180
2 650
2 650
2 650
0
1 260
5 760
5 760
5 760
2
10
30
50
70
Latin
America &
Caribbean
0–4
5–14
15–44
45–59
60+
0
30
1 090
1 090
1 090
0
945
5 030
5 030
5 030
Middle
Eastern
Crescent
0–4
5–14
15–44
45–59
60+
0
30
770
770
770
India
0–4
5–14
15–44
45–59
60+
China
Other Asia
& Islands
Duration of disability
Acute
Permanent
1
1
1
1
1
1
1
1
1
1
82.5
73.0
53.3
34.0
16.2
2
10
30
50
70
1
1
1
1
1
1
1
1
1
1
82.5
73.0
53.3
34.0
16.2
0
480
2 400
2 400
2 400
2
10
30
50
70
1
1
1
1
1
1
1
1
1
1
82.5
73.0
53.3
34.0
16.2
0
70
2 070
2 070
2 070
0
1 575
8 150
8 150
8 150
2
10
30
50
70
1
1
1
1
1
1
1
1
1
1
82.5
73.0
53.3
34.0
16.2
0–4
5–14
15–44
45–59
60+
0
10
330
330
330
0
540
3 260
3 260
3 260
2
10
30
50
70
1
1
1
1
1
1
1
1
1
1
82.5
73.0
53.3
34.0
16.2
0–4
5–14
15–44
45–59
60+
0
70
2 060
2 060
2 060
0
1 545
7 980
7 980
7 980
2
10
30
50
70
1
1
1
1
1
1
1
1
1
1
82.5
73.0
53.3
34.0
16.2
drome (Ramsey 1962) and Massive Infantile Trichuriasis (Kouri & Valdes
Diaz 1952). This typically occurs in children between 3 and 10 years of
age and is associated with burdens involving at least several hundreds of
worms carpeting the colonic mucosa from ileum to rectum. The colon is
inflamed, oedematous and friable, and often bleeds freely (Venugopal et al.
1987). Reviews of case histories suggest that the mean duration of disease
at the time of presentation is typically in excess of 12 months and that
relapse after treatment frequently occurs (Gilman et al. 1983, Cooper et
al. 1990, Callender et al. 1994). The probability of relapse, and of a child
experiencing multiple episodes, is greatly enhanced because a proportion
of heavily infected children are predisposed to reacquire heavy infection
Intestinal nematode infections
273
even after successful treatment (Bundy et al. 1987a, 1987b). The typical
signs of the syndrome (see Bundy & Cooper 1989a for a review of 13 studies involving 697 patients) are rectal prolapse, tenesmus, bloody mucoid
stools (over months or years), growth stunting, and a profound anaemia,
which may lead to a secondary anaemia. The complete spectrum of clinical features associated with the syndrome occurs in some 30 per cent of
children with intense trichuriasis. Many of the major clinical effects are
reversible by appropriate therapy (Cooper, Bundy & Henry 1986, Gilman
et al. 1983), hence the disability is considered here to be a contemporaneous consequence of infection. For the present analyses it is assumed that
the disability is contemporaneous with infection, has a duration of over
12 months, has a severity of Class II (Murray & Lopez, 1996), and affects
20 per cent of children under 15 years of age experiencing the higher
threshold of intensity.
With hookworm the major consequence of infection is anaemia (see
Schad & Banwell 1984 and Crompton & Stephenson 1990 for reviews of
the extensive literature in this area). Anaemia is associated with: reduced
worker productivity; reduced adult and child fitness; reduced fertility in
women; reduced intrauterine growth rate, prematurity and low birth
weight; and cognitive deficits (Fleming 1982, Stephenson et al.1993, Pollitt et al. 1986, Boivin et al. 1993) (Tables 9.12a and 9.12b). Since the
higher threshold for the intensity of hookworm infection was selected on
the basis of the development of anaemia, it is here assumed that 100 per
cent of those exceeding this threshold suffer at least Class I disability. As
discussed elsewhere (World Bank 1993), the consequences of anaemia
will be more serious for a subset of the affected population, resulting
in Class II and Class III disability. The disability weight distribution for
anaemia was used for the present analyses, 70 per cent in Class II, 24 per
cent in Class III and 6 per cent in Class IV.
For all species it is assumed here that the effects are independent of
host sex. It is also assumed that the disability weight is age-independent
since the method of extrapolating the population at risk incorporates ageweights in both the prevalence of infection and the threshold associated
with disability by age.
Chronic effects of infection
In addition to the contemporaneous effects of infection, there is evidence
that some consequences of infection are irreversible. This is the case for
some cognitive deficits (Table 9.12a), some elements of development quotient (Callendar et al. 1994), and some growth effects during childhood
(Stephenson et al. 1993). In all studies, some forms of disability in a proportion of children do not respond to therapy. We estimate that in any annual
cohort of heavily infected children some 5 per cent suffer these permanent
consequences. Studies of reinfection show that children are predisposed
to a particular intensity of infection (Keymer & Pagel 1990, Hall, Anwar
& Tomkins 1992), such that some 30 per cent of heavily infected children
Tests in battery = 9
x Pegboard non-dominant hand
x Analogical reasoning
C = 63
Albendazole
x Digit-span backwards
x Digit-span forwards
P = 67
Placebo controlled
9–11
T = 66
Intervention
10 weeks
Tests in battery = 8
C = 48
Albendazole
* Silly sentences
x Letter search
10–11
P = 48
Placebo controlled
14 weeks
T = 49
Intervention
Tests in battery = 6
* Letter search
C = 100
Albendazole
x Fluency
x French learning (initial)
8–10
P = 93
14 weeks
T = 96
Placebo controlled
Tests in battery = 4
x School Attendance
* Arithmetic
* Reading
C = 206
7–11
x Spelling
26 weeks
Baseline differences
between infected and
uninfected group
None significant
None significant
Underweight children improved in fluency.
Treatment interaction effects:
• stunted and received treatment improved in school
attendance.
• heavily infected and received treatment improved
in spelling;
Treatment interaction effects:
Intervention differences
Significant effects of helminth infection on mental processing
P = 201
T = 206
Sample size
Age of
subjects
(years)
Intervention
Albendazole
Placebo controlled
Intervention
Jamaica
Trichuris trichiura
Moderate
intensity
Study design
Country
Parasite
Time between
baseline and
follow-up (if
appropriate)
Table 9.12a Selected studies investigating the effects of parasitic helminth infections on mental processing
Sternberg, Powell
& McGrane, 1995
Baddeley,
Meeks-Gardner
& GranthamMcGregor 1995
Simeon et al. 1994
Simeon et al. 1994
Investigators
274
Global Epidemiology of Infectious Diseases
presence
+ Iron status
Hookworm
presence
Hookworm
Moderate–
heavy intensity
Trichuris trichiura
Zaire
Zaire
Jamaica
Levamizole
iron supplements
Intervention,
placebo controlled
Levamizole
+ malaria
treatment if
infected only
Case control
Intervention,
Albendazole
Placebo controlled
Intervention
P + Iron; T
only; P only;
= 30
T + Iron
= 17
C = 50
T = 47
4 weeks
4 weeks
Fem =
8.0
Male =
7.7
8.75 ±
1.6
Tests in battery = 10
Not reported
Tests in battery = 10
* Mental processing total
Word order
Sequential processing,
including number
recall
Tests in battery = 8
Matching familiar figures:
hard
Matching familiar figures:
easy
Comprehension
Coding
Arithmetic
Digit-span backwards
Fluency
C = 56
9–12
Digit-span forwards
63 ± 8 days
P = 41
T = 62
Simultaneous total
Sequential total
Mental processing total
Matrix analogies
Gestalt
Face recognition
Word order
Number recall
Spatial memory
Effect = iron + hookworm
trnt
Spatial memory
Digit-span backwards
Digit-span forwards
Fluency
1993
continued
Boivin & Giordani
Boivin et al. 1993
Nokes et al.1992a,
1992b
Intestinal nematode infections
275
presence
Ascaris
lumbricoides
(Study actually
designed to
investigate T.
trichiura)
Presence
Ascaris
lumbricoides
Ecuador
Jamaica
Jamaica
Trichuris
trichiura
TDS – very
heavy intensity
Country
Parasite
Cross-section
Cross-section,
matched for
class
Albendazole given
to infected
children every
4 months
T = 19
Case control,
interventions
pair-matched
Uninfd C
= 27
Infd = 103
(Infd with T.
trichiura =
409)
Uninfd =
207
Infd = 196
C = 19
Sample size
Study design
—
—
12 months
Time between
baseline and
follow-up (if
appropriate)
9–13
7–11
3–6
Age of
subjects
(years)
Interaction with nutrition in
* Wisconsin Card Sorting Test
* Digit Symbol
* Peabody raw score
* Stroop words
Tests in battery = 4
* School attendance
* Arithmetic
* Spelling
* Reading
Performance
Hearing and speech
Eye hand coordination
Locomotor
Griffiths DQ subscales
Baseline differences
between infected and
uninfected group
Not done
Locomotor
Intervention differences
Significant effects of helminth infection on mental processing
Table 9.12a Selected studies investigating the effects of parasitic helminth infections on mental processing (continued)
Levav et al. 1995
Simeon et al. 1994
Callender et al.
1991
Investigators
276
Global Epidemiology of Infectious Diseases
intensity
Low-Moderate
and heavy
Trichuris trichiura
Intensity
A. lumbricoides,
T. trichiura,
hookworm,
Schistosome
spp. Protozoa
Polyparasitism
intensity
A. lumbricoides,
T. trichiura,
Hookworm
Polyparasitism
Italy
South
Africa
Jamaica
Cross-section
all infected
with different
spp.
Cross-section
Cross-section
Infd = 124
Uninf = 232
Subjects =
110
Uninfd =
170
Infd = 473
—
—
—
6–10
10
9–11
Other outcome = promotion.
x Lower school grade
correlated with intensity. No relationship
when controlled for
social and hygienic
conditions.
Other test = Memory
(pathogenicity of parasitic species more important than prevalence/
intensity at predicting
performance)
* Sustained attention
Only test in battery
Academic stream
(children streamed by
teachers according to
academic ability; children
with least ability more
likely to be infected and
heavily infected)
Tests in battery = 13
All sample had high EEG
* = controlled for nutrition status
Peabody Test
Not done
(Intervention disrupted by
flooding)
Not done
Not done
continued
de Carneri 1968
Kvalsvig Cooppan
& Connolly 1991
Nokes et al. 1991
Intestinal nematode infections
277
presence
Hookworm
Intensity
Hookworm
Intensity
United
States of
America
Australia
Cross-section
Cross-section
Cross-section
Italy
Trichuris trichiura
Low–Moderate
& heavy
Study design
Country
Parasite
78
Infected:
high intensity= 159
Infected:
low intensity = 65
Uninfd =
116
Infd = 233
Uninf = 125
Sample size
—
—
—
Time between
baseline and
follow-up (if
appropriate)
6–17
6.5–
15.5
6–11
Age of
subjects
(years)
* Grade advancement
(deficit of 0.23 grades/
year)
Binet-Simon test and
Porteus Mazes correlated with intensity of
infection.
Other outcome = absenteeism
No relationship when
controlled for social and
hygienic conditions.
x Slower promotion,
poor grades correlated with intensity.
Baseline differences
between infected and
uninfected group
Not done
Not done
Not done
Intervention differences
Significant effects of helminth infection on mental processing
Table 9.12a Selected studies investigating the effects of parasitic helminth infections on mental processing (continued)
Stiles 1915
Waite & Neilson
1919
de Carneri
Garofano &
Grassi 1967
Investigators
278
Global Epidemiology of Infectious Diseases
Definitions
Intervention
Placebo controlled
Case control
Pair-matched
Cross-section
Presence
Intensity
Light, moderate or
heavy intensity
presence
Hookworm
A. lumbricoides
T. trichiura
Polyparasitism
Presence
Hookworm
A. lumbricoides
Harvard Step Test
Albendazole
Intervention placebo
controlled
Harvard Step Test
Albendazole
Intervention placebo
controlled
P=26
T=27
P=15
T=18
Sample
size
4 months
7 weeks
7–13
6–12
No difference between
infected groups.
Fitness negatively correlated with haemoglobin/
iron status.
Age of Baseline differences
subjects between infected and
(years) uninfected group
Stephenson
et al.1993
Stephenson
et al.1990
No change in fitness score and
pulse rate in placebo group.
Significant improvement in fitness
in treatment group. Improvement
significantly related to reduction in
hookworm and A. lumbricoides egg
counts.
No change in fitness score and
pulse rate in placebo group.
Significant improvement in fitness
in treatment group. Improvement
significantly related to reduction
in hookworm, weight gain and
increase in energy intake during the
4 month study period.
Investigators
Intervention differences
continued
One group receives treatment. Groups tested pre-intervention and post-intervention.
Infected group randomly assigned to treatment or placebo. Groups tested pre-intervention and post-intervention.
Infected group compared to an uninfected group. Groups matched for age as a minimum. Infected group receives treatment. Uninfected group receives no treatment.
Infected group and uninfected group pair matched for confounding variables other than just for age.
Infected group compared against uninfected group. Neither group receives treatment. Groups tested at baseline only.
Subjects selected for the study on the basis of the presence of infection and not on the basis of the intensity of infection.
Analysis of results takes into consideration the intensity of infection.
The intensity of infection of subjects recruited to the study.
Kenya
Kenya
Polyparasitism
T. trichiura
Country
Parasite
Study design and
Measure of activity
Time between
baseline and
follow-up
(if appropriate)
Table 9.12b Selected studies investigating the effects of parasitic helminth infections on physical fitness
Intestinal nematode infections
279
Key
X
Controlled for confounding variables and infection did not remain significant.
*
Controlled for confounding variables and infection remained significant.
No mark No attempt to control for confounding variables.
Abbreviations
T
Infected group treated with antihelminthic.
P
Infected group treated with antihelminthic placebo.
NoT
Infected group receiving no intervention, i.e. no treatment or no placebo.
C
Uninfected control receiving no treatment or placebo.
Infd
Infected with parasite spp.
Uninfd Uninfected with parasite spp.
Table 9.12b Selected studies investigating the effects of parasitic helminth infections on physical fitness (continued)
280
Global Epidemiology of Infectious Diseases
Intestinal nematode infections
281
in an annual cohort would be expected to reacquire heavy infection. Thus
each year the proportion of children exceeding the threshold worm burden
will consist of some 70 per cent of individuals who have not previously
experienced heavy infection, which implies a cumulative increase in the
proportion suffering permanent disability. We therefore assume that each
year 3 per cent of newly heavily infected children, and children only, suffer
life-long consequences of infection.
The disability attributable to these effects has yet to be empirically
determined. Stunted children may be disadvantaged in education (Moock
& Leslie 1986, Jamison 1986, Glewwe & Jacoby 1995), as are children
with low development quotients or cognitive impairment (Pollitt 1990).
On the other hand, physical and mental maturation may eventually compensate, to some degree, for initial retardation (Pollitt et al. 1986). In a
recent study of two years nutritional supplementation of stunted children,
locomotor development improved in the first year, as seen with antihelminthic treatment of trichuriasis (Callender et al. 1994), while other areas of
development did not improve until the second year (Grantham-McGregor
et al. 1991). Given this uncertainty we assume that the permanent consequences of infection result in disability at the lowest weight (Class 1). Thus
in calculating the DALYs for all the helminth infections it is assumed here
that 3 per cent of children experiencing worm burdens above the lower
threshold suffer permanent disability of Class 1.
Mortality
This is the weakest area of DALY estimation because of the lack of
empirical data. Ascariasis is the best documented helminthiasis in terms
of mortality. There are numerous studies of case fatality rates in hospitals
(reviewed by Pawlowski & Davies 1989). These indicate that the outcome
of acute complications of ascariasis is modified by the general health status
of the patient, the intensity of infection and the medical procedure (see
Pawlowski & Davies 1989). In one hospital in Sao Paulo, for example, the
case fatality rate was 1.35 per cent for conditions which could be managed
conservatively, and 26.1 per cent in patients undergoing surgery (Okumura
et al. 1974). These studies confirm that death is a not infrequent outcome
of complications of ascariasis, but provide little insight into mortality rates
in the community. An extrapolation from central hospital data in Myanmar
suggests there are 0.008 deaths per 1000 infections per year (Thein-Hliang
1987), but this is considered to be a considerable underestimate since only
a small proportion of children with severe complications are likely to have
access to the hospital (Pawlowski & Davies 1989). Only two population
based estimates are available: one for the Darmstadt epidemic (0.1 deaths
per 1000 infected per year) (Krey 1949) and one for Japan prior to national
control efforts (0.061 deaths per 1000 infected per year) (Yokogawa 1976).
Based on the present estimate of global infection, these rates suggest that
between 8 000 and 14 000 children die each year.
The final estimate of global mortality due to ascariasis in the Global
282
Global Epidemiology of Infectious Diseases
Burden of Disease project was 11 000 concentrated in the age group 5–14
years (Murray and Lopez 1996). Mortality was distributed by region in
proportion to the region-specific population at risk (above higher threshold) and to the region-specific probability of dying between birth and 4
years (World Bank 1993). This last quantity was added to take account
of regional variations in access to acute medical services.
No population-based mortality estimates have been published for
T. trichiura infection. Prior to the advent of safe and effective therapy for
T. trichiura infection in the late 1970s a number of reports described paediatric inpatients with Trichuris Dysentery Syndrome who, despite clinical
efforts, died as a result of profuse haemorrhage and secondary anaemia
(Wong and Tan 1961, Fisher and Cremin 1970) or of intussusception
(Reeder, Astacio & Theros 1968). Although there continue to be reports
of the syndrome, a fatal outcome in a clinical setting today would suggest
inappropriate management. The picture in the community, however, may
be rather different since, in the absence of specific diagnosis, the aetiology
of chronic bloody dysentery may be unrecognized. Nevertheless, mortality
is undoubtedly a rare consequence of trichuriasis.
The profound anaemia of hookworm infection is life-threatening and
has been estimated, although the means of estimation are not described,
to result in 65 000 deaths per year (World Health Organization 1992).
Again there is a lack of empirical data, presumably in this case because
of the difficulty in identifying the etiology of anaemia-related deaths. A
figure of 4 300 deaths was used by Murray and Lopez (1996) and was
distributed to ascribe the highest proportion of mortality to women of
childbearing age (15–44 years) and to older age groups. The distribution
of deaths between regions was divided in the same way as for the other
infections.
In including these estimates of mortality we recognize that they are
unsupported by vital registration statistics. But it should also be recognized
that intense infection is most prevalent in the poorest regions of the poorest
countries. In such areas mortality may be most likely because of limited
access to appropriate management, while both the diagnosis of cause of
death and its registration may be least reliable. There is clear evidence that
deaths do occur. What is unclear is the extent of this mortality.
Disability
Much of the disability associated with helminth infection is insidious
and would be unlikely to be brought to clinical attention. As such it is
difficult to compare with the more classical clinical signs. On the other
hand, cognitive deficits may have profound consequences for educational
outcomes and growth stunting is one of the best characterized correlates
with underachievement, so these insidious effects may have far reaching
societal consequences. Achieving some realistic balance between the clinical consequences for the individual and developmental consequences for
Intestinal nematode infections
283
society goes beyond the scope of the present exercise, and would require a
more sophisticated weighting system, if indeed the effects could be quantified. For present purposes, the very low proportional weighting selected for
the chronic effects of infection is influenced by the view that the Class 1
disability weight may be an overestimate of the effects of infection from
a clinical perspective.
Other considerations in calculating burden
There are three main reasons why the burden of intestinal helminths may
not be adequately captured by the present calculations. First, there are no
direct measures of morbidity against which the extrapolation procedure
could be conclusively validated. Although each step in the extrapolation
was independently assessed against empirical data as far as possible, there
must remain uncertainty until observed data become available. Second, the
mortality data are largely unsubstantiated. Mortality has the potential to
significantly alter the overall burden estimates. It is therefore unsatisfactory that mortality data have received so little research attention. Third,
there is a particular lack of information on the morbid consequences of
infection in young children. It is possible that even very low worm burdens
may have disproportionately severe effects on developing physiologies and
organ systems. Anecdotal evidence suggests that the current estimates of
threshold and disability weights may significantly underestimate the burden
in children under 10 years of age, and particularly those under 5 years.
The societal consequences of growth stunting and educational underachievement may be of substantially greater relevance than the disability
in the individual.
Intestinal nematode infections as risk factors
for other diseases
Intestinal nematode infection is associated with malabsorption and is a
potentially important predisposing factor for malnutrition in communities on marginal diets. These effects may relate broadly to protein-energy
malnutrition, or to specific deficiencies. For example, A. lumbricoides
infection has been associated with malabsorption of vitamin A.
Hookworm infection and to a lesser extent trichuriasis are associated
with iron loss predisposing to anaemia. It is self evident that the risk of
anaemia is dependent on iron balance and thus that infection may be an
important contributing factor.
The attributable contribution to global malnutrition is potentially considerable given the ubiquity of infection and its specifically high prevalence
in the poorest societies with the least adequate diets.
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Burden and intervention
The major intestinal helminth infections can be effectively treated simultaneously with single dose oral therapy. The treatment is widely available,
safe, simple and inexpensive. Prevention of reinfection requires reduction
in transmission, which can be achieved by synchronized treatment programmes and by improvements in sanitation.
In the absence of currently financed health interventions there would be
some increase in the current burden. For example, there would be a greater
number of deaths from intestinal obstruction in the absence of operative
procedures, and from severe anaemia or malnutrition in the absence of
rehabilitation therapy. However, with some important exceptions such as
Japan and the Republic of Korea, control of intestinal helminth infections
is only rarely a component of national public health programmes.
It could be argued that the entire burden could eventually be avoided by
appropriate application of currently available interventions. For example,
evidence from the Republic of Korea and Japan indicates that reduction in
the prevalence of A. lumbricoides infection at the national level results in
a significant decline in acute complications of ascariasis requiring hospitalization (Chai et al. 1991) and in ascariasis related mortality (Yokogawa
1976). Curative treatment would mitigate the contemporaneous or acute
effects of infection, while measures to control transmission would avoid
chronic developmental disability, although neither could reverse the deficits
that are already present in the population.
Economic analyses suggest that carefully targeted community treatment
programmes are exceptionally cost-effective (Warren et al 1993, Guyatt
& Evans 1992, World Bank 1993). This arises because the therapy is
inexpensive (US$0.20 or less per dose), is required at infrequent intervals (of the order of one year), can have community-wide effects even
if targeted at some fraction of the population which makes the greatest
contribution to transmission (such as school-age children), and can be
delivered through existing infrastructures (such as schools or the primary
health care system).
Conclusions
The global morbidity attributable to intestinal nematode infections,
although generally accepted to be large, has proven difficult to quantify.
The method presented here provides a framework whereby the potential
global burden may be estimated in the absence of any direct measures
of morbidity. The estimates are intended to give some indication of the
potential burden of intestinal helminthiases rather than to provide absolute values. It would of course be possible to seek further refinement of
the approach, but our view is that the most pressing need is to obtain
reliable community data on the observed levels of morbidity and on the
consequences of disability. The present analyses indicate that even low
Intestinal nematode infections
285
levels of individual disability can sum to a considerable burden with such
ubiquitous infections; the important question is what this implies for communities in practice. The analysis has revealed important lacunae in our
knowledge of these infections and it is hoped that this might guide future
applied research.
The present estimates suggest that the potential morbidity attributable to geohelminthiases is much greater than previously supposed. This
reflects the inclusion of both the traditionally recognized clinical effects of
helminthiases (see World Health Organization 1992) and more recently
recognized developmental effects, which rarely result in clinical presentation but which may have major consequences for the individual and the
community.
Another general implication of the results arises from the similarity
of the age and regional distributions for A. lumbricoides and T. trichiura infection and morbidity. This observation has been made before for
prevalence data (Booth & Bundy 1992), and strong positive correlations
between A. lumbricoides and T. trichiura prevalences in communities
have been demonstrated. This suggests that these two infections could be
controlled within a single programme. The age distribution of the burden
also supports the conclusion that there are particular benefits in targeting
control of A. lumbricoides and T. trichiura infection at school age children
(Bundy et al. 1985, Savioli, Bundy & Tomkins 1992).
The results suggest that the vast majority of the morbidity attributable
to intestinal nematodes is readily avoidable or reversible using existing and
cost-effective approaches, and that the mortality is also a largely avoidable
consequence of acute infection. These observations, and the scale of the
burden of current disease, argue for greater public health emphasis on the
control of intestinal helminthiases.
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Chapter 10
Trachoma-Related Visual Loss
B Thylefors, K Ranson, A-D Négrel,
R Pararajasegaram
Introduction
Trachoma as a cause of blindness has been known to mankind for many
centuries; it was documented in ancient China, Egypt and India. The
disease probably came to Europe with the Napoleonic troops returning
from Egypt and was endemic in most European countries well into the
20th century (Jitta & Luharis 1930).
Trachoma, a communicable eye disease most commonly found amongst
poor populations living in crowded conditions with insufficient personal
and environmental hygiene, is the most important cause of preventable
blindness in the world. The disease is still commonly found in many
developing countries, usually in the poorest population groups in rural
areas. Trachoma is a typical socioeconomically determined disease, with
poverty, low living standards, and lack of hygiene as main risk factors. The
disease is typically “clustered” in relation to community development and
social class (Dawson, Jones & Tarizzo 1981). The trachomatous infection
starts early in life, but the blinding outcome usually does not occur until
adulthood, with a predominance of visual loss in women. The disease can
constitute a significant cause of visual disability, adding to the already high
burden of disease commonly found in poor rural populations.
Trachoma is caused by Chlamydia trachomatis, a microorganism that is
intracellular (like viruses) but susceptible to some antibiotics (like bacteria).
Chlamydial infection may give systemic manifestations, including respiratory tract infections in infants and genital tract infections in adults. The
relationship between ocular and genital chlamydial infections is complex
and not the subject of this review.
The epidemiology of trachoma is characterized by the early inflammatory phase, often during childhood, involving the tarsal conjunctive (the
mucous membrane lining inside the eyelids). The upper eyelid is the main
site of inflammation and the infection is invariably bilateral. The invasion
of chlamydiae into the conjuctival cells leads to the formation of small
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follicles, which represent the inflammatory reaction to the presence of the
infectious agent. The follicles gradually increase in size, up to 1–2 mm; as
they “mature,” reaching their optimal size, they rupture and are eventually replaced by scar tissue. The scars can be seen as discrete white lines
or stars on the tarsal conjuctival surface. With an increasing number of
scars, there is traction inside the eyelid, leading eventually to an inturned
lid (entropion), with eyelashes rubbing against the cornea (trichiasis). This
causes superficial lesions in the corneal epithelium, which over time result
in a gradual infiltrate and opacification of the cornea, often following
severe secondary infections.
The classical profile of trachoma is a severe blinding disease, usually
hyperendemic amongst poor and underserved rural populations. The
disease can, however, also exist in a non-blinding form with less intense
infection, although still prevalent in the communities concerned. Under
such circumstances, there is still typically a substantial burden of active
inflammatory disease amongst children, whereas there are very few cases
of trichiasis or corneal opacification in the adults.
Trichiasis and corneal opacification usually do not occur until the third
or fourth decade of life, but this varies in relation to the intensity of infection. Women tend to have more active inflammatory disease because of
their close contact with children, who constitute a reservoir of infection.
Accordingly, trichiasis is particularly common in middle-aged and elderly
women (Dawson, Jones & Tarizzo 1981).
The prevention of blindness from trachoma can be effectively achieved
by: prevention of trachoma infection through health education and
improved standards of living; antibiotic treatment of inflammatory disease; or surgery against trichiasis to prevent corneal opacification. Specific
guidelines have been developed for the antibiotic treatment of trachoma,
as well as for standard surgical procedures (Reacher et al. 1992).
There have been few attempts in the past to measure the global disease
burden of trachoma and the resulting visual loss.
A WHO Scientific Group on Trachoma Research in 1959 referred to
an estimated 400 million cases of trachoma (World Health Organization
1959). In the 1960s, the results of a number of surveys on trachoma and
experience gained in several national campaigns led to a global estimate
of 500 million cases of trachoma worldwide, with at least 2 million blind
as a result of the disease (Bietti, Freyche & Vozza 1962). Subsequently,
in the light of better epidemiological data on blindness, the figure for the
estimated number of blind was adjusted to 6–9 million (World Health
Organization 1984).
In 1985, Dawson & Schachter (1985) estimated by means of a simple
model that there could be some 360 million people with trachoma. A
more comprehensive model was developed a few years later by the WHO,
partially based on the results of a global questionnaire on trachoma (Thylefors, Négrel & Pararajasegaram 1992). Thus, it was estimated in 1992
that approximately 146 million people had active inflammatory disease.
Trachoma-Related Visual Loss
303
That estimate took into account only cases of active disease in need of
treatment, in accordance with a new and simplified grading system for
trachoma (Thylefors et al. 1987). A separate estimate was subsequently
put forward, taking into account the number of blind attributable to
trachoma and cases with disabling, or potentially disabling, lesions, i.e.
corneal opacification and trichiasis (Thylefors et al. 1995). The overall
figure for this category of blind and those at immediate risk of blindness
was 5.9 million.
Definition
A multitude of definitions of blindness were in use up to 1972, when a
WHO study group on the prevention of blindness recommended a uniform definition for use in surveys and reporting systems. The definition is
expressed as vision less than 3/60 (0.05) in the better eye with best possible optical correction. This corresponds to the inability to distinguish the
fingers of a normal hand at a distance of 3 metres (10 feet), and it implies
loss of “walk-about” vision. The 1972 recommendation has become universally accepted and is included in the ninth and tenth revisions of the
International Classification of Diseases (ICD) (World Health Organization
1977, 1992). The WHO study group also defined other categories of visual
loss, notably the concept of “low vision,” i.e. significant or severe visual
impairment, but not quite blindness, in the individual. Low vision is thus
defined as vision less than 6/18 (0.3) but equal to or better than 3/60 (0.05).
It should be noted that the above recommended definitions are mainly for
uniform reporting of data; each country may still have its own criteria for
social and rehabilitative care for people with visual loss.
The definition of trachoma, as given by the WHO Expert Committee
on Trachoma in 1962, reads: “Trachoma is a specific, communicable
kerato-conjunctivitis, usually of chronic evolution, …characterized by
follicles, papillary hyperplasia, pannus, and it its later stages, cicatrization” (World Health Organization 1962). The definition for a case of
trachomatous blindness commonly applied is the central opacification
of the cornea (leucoma) in the presence of typical conjunctival scars and
entropion/trichiasis.
The classification of trachoma and its complications has evolved over a
period of several decades, from the classification proposed by MacCallan
in the early part of this century, up to the most recent simplified grading
system proposed by the WHO (Thylefors et al. 1987).
Differential diagnostic problems refer mainly to other forms of follicular conjunctivitis; criteria for the field diagnosis of trachoma were
laid down by the WHO Expert Committee on Trachoma (World Health
Organization 1962), e.g. the presence of typical follicles or infiltrate in
the tarsal conjunctiva. Trachoma tends to be underestimated as a cause
of blindness, especially in situations where complications of trachoma,
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such as suppurative keratitis and phthisis bulbi, are mistakenly recorded
as the primary cause.
Review of empirical data bases
Data sources on trachoma are unfortunately very limited. The epidemiology of the disease is such that only population-based assessments are of
value. Surveys of schoolchildren were carried out in many countries in the
1960s, but they are limited by the low rate of school attendance in some
settings and the lack of data on trichiasis to confirm the blinding potential of trachoma in the particular population. Community-based surveys
have not been undertaken in many countries in recent years, although the
assessment of trachoma is part of the WHO-suggested procedure for an
overall blindness survey (Thylefors 1987). The sampling poses a problem
in such a situation, when in fact the epidemiological mapping of trachoma
is the priority for the planning of intervention. Data for eye clinics are
notoriously unreliable for trachoma, in view of the patchy distribution
of the disease and its social profile, being most common in impoverished
rural populations.
Overall, trachoma studies tend to be biased to focus on areas where
trachoma is strongly suspected or known to exist. Very few nationwide
surveys have attempted to give a mapping of trachoma, which is obviously
difficult, given the focal distribution of the disease in relation to socioeconomic, cultural and environmental circumstances.
Available data on trachoma and related visual loss are reviewed in Table
10.1. Studies are included in this compilation only if they are population-
Box 10.1
International Classification of diseases (ICD) codes related
to trachoma
ICD-9
ICD-10
076
Trachoma
A.71
Trachoma
076.0
Initial stage
Trachoma dubium
A.71.0 Initial stage of trachoma
Trachoma dubium
076.1
Active stage
Granula conjunctivities
(trachomatous)
Trachomatous
– follicular conjunctivitis
– pannus
A.71.1 Active stage of trachoma
Granular conjunctivitis
(trachomatous)
Trachomatous
– follicular conjunctivitis
– pannus
076.9
Unspecified
Trachoma NOS
A.71.9 Trachoma, unspecified
374.0
Entropion and trichiasis of eyelid
B.94.0 Sequelae of trachoma
139.1
Late effects of trachoma
H.02.0 Entropion and trichiasis of eyelid
1987
1985
China
China
1990
Australia
1973
1976
India
India
IND
1976–1977
Australia
EME
1982–1985
Date of
study
20 134
1 060
1 514
5 134
10 279
1 579 316
433 083
Population
examined
≤ 3/60
≤ 6/60
< 3/60
≤ 6/60
—
< 3/60
< 3/60
Community surveys in rural Uttar Pradesh.Villages closest to the health centre were chosen
for the study. Only those reporting visual difficulty were examined.
Community survey in rural Uttar Pradesh. The
village surveyed is in the area of a rural health
centre. Reports on blindness attributable to
both trachoma and associated conjunctivitis.
Survey of Aborigines in one area of southern
Australia. Study population consisted of people
who voluntarily presented for examination.
Survey of Aborigines in west and central Australia. Method of sample selection is not clear.
National random survey. Little information is
provided on the sampling method. No definition
of “rural” and “urban” is provided.
Trachoma survey in one county. Does not present prevalence of trachomatous blindness
Sample survey in suburban and rural areas. No
information on sampling method is provided.
WHO endorsed examination method was used.
Blindness (low
vision) definition Comments
353
1 038
1 321
711
NR
432
335
Blindness
(< 3/60)
30
377
594
107
NR
47
32
continued
Srivastava & Verma
1978
Chakrabarti, Gary &
Siddhu 1974
Stocks, Newland &
Hiller 1994
Taylor 1987
Hu et al. 1989
Zhang et al. 1992
World Health Organization 1985
Trachomatous
Blindness
(< 3/60)
Reference
Prevalence per 100 000
Review of available data on trachomatous blindness: population-based surveys after 1974
China
CHI
World Bank Region
Country or area
Table 10.1
Trachoma-Related Visual Loss
305
1986–1989
India
West Bank & Gaza
Strip
MEC
Brazil
1982–1983
1986
1981
India
LAC
Date of
study
6 038
2 908
254 758
685 200 000
Population
examined
< 3/60
< 3/60
< 6/60
< 3/60
Random cluster sample in two geographically
separate areas mainly populated by Palestinian
Arabs. Most children under the age of 5 and a
small number of older children and adults were
unable to understand or cooperate in visual
acuity testing. Authors state that the prevalence
of trachomatous blindness in West Bank was
twice that in Gaza strip.
Random cluster sample in one municipality in
southeastern Brazil. WHO Simplified Grading Scheme is used for assessing prevalence of
trachoma infection.
National random cluster survey. Sample sizes
were determined based on the findings of the
1981 NSSO study. Clinical staging of trachoma
not consistent with WHO classification. Results
are inconsistent from one report to another.
Only 11 cases of trachoma blindness (< 3/60)
found.
National census. Report includes no information
on examination methods. Reports on blindness
attributable to both trachoma and associated
infection.
Blindness (low
vision) definition Comments
2 733
NR
697
250
Blindness
(< 3/60)
364
0
4
50
Thomson & Chumbley
1984
Luna et al. 1992
Mohan 1989
NSSO survey 1981
Trachomatous
Blindness
(< 3/60)
Reference
Prevalence per 100 000
Review of available data on trachomatous blindness: population-based surveys after 1974 (continued)
World Bank Region
Country or area
Table 10.1
306
Global Epidemiology of Infectious Diseases
1993
1989
1984
1981–1990
1991
1993
Morocco
Pakistan
Saudi Arabia
Saudi Arabia
Saudi Arabia
Tunisia
1980–81
1990
Myanmar
Nepal
1991–92
Mongolia
OAI
1992
Morocco
39 887
21 103
4 345
3 547
2 882
4 268
14 76
6 690
4 797
8 878
< 3/60
< 3/60
< 3/60
< 3/60
< 3/60
< 3/60
< 3/60
< 3/60
—
< 3/60
National random cluster survey. Most trachoma
is located in the Far Western terai (western
Nepal).
Examination of nonrandomly selected villages
belonging to 4 Regions of the Prevention of
Blindness Programme.
Random cluster sample in 3 of the 18 regions in
Mongolia. Only people aged 40 years and older
were examined.
National, randomized cluster survey. Obvious
bias (under representation of males 15–54
years of age).
Random cluster sample in a single province.
Definition of low vision used is unclear.
Random cluster sample in a single province.
This province was found to have higher levels of
blindness than other regions of Saudi Arabia in
the 1984 study.
National random cluster sample representing
the settled population of Saudi Arabia.
Population-based survey in the North West
Frontier Province. Obvious bias.
Randomized cluster survey of a trachoma
endemic area. Obvious bias.
National, randomized, stratified, communitybased survey.
840
1,240
1,588
800
659
1 500
1 509
1 000
NR
760
23
62
0
34
0
141
160
90
NR
30
continued
Brilliant et al. 1985
Than 1990
Baasanhu et al. 1994
Tunisia 1993
Al Faran et al. 1993
Badr et al. 1992
Tabbara & Ross-Degnam 1986
Pakistan Ministry of
Health 1989
Morocco Ministry of
Public Health 1992
Chami-Khazraji, Négrel
& Ottmani 1994
Trachoma-Related Visual Loss
307
1991
1989
1990
Tonga
Vanuatu
Viet Nam
1984–1985
1988
1981
1986
1991
Congo
Ethiopia
The Gambia
Ghana
962
874
1 383
6 185
5 002
1 841
1991
Burkina Faso
Chad
7 047
1990
15 071
3 520
4 056
Population
examined
Benin
SSA
Date of
study
< 3/60
< 3/60
< 3/60
< 3/60
< 3/60
—
Random cluster sample in one district. Conducted in a savannah area in central Ghana.
Study did not include individuals younger than
30 years old. Only 67% of the sample population were examined.
National random cluster sample. Well-conducted study with no obvious source of bias.
Random cluster sample in one province. Conducted in a hot, dry, dusty province. The terms
“urban” and “rural” are poorly defined.
National random cluster sample. Little information regarding the sampling and examination
methods is provided.
National random cluster sample. Little information regarding the sampling and examination
methods is provided.
Randomized cluster survey of one region.
National random cluster sample. Authors state
that trachoma is only prevalent in the northern
part of the country.
Survey carried out in 4 northern and 4 southern provinces. No information in report as to
methods used for sampling or examination.
< 3/60
< 3/60
National random cluster sample. Only included
persons aged 6 years or older.
National random cluster survey. Study was
restricted to persons aged 20 years and over.
< 3/60
< 3/60
Blindness (low
vision) definition Comments
2 495
700
940
307
2 310
NR
600
860
369
468
Blindness
(< 3/60)
0
119
434
0
526
NR
0
27
0
25
Moll et al. 1994
Faal et al. 1989
Cerruti et al. 1981
World Health Organization 1990
World Health Organization 1987
Hutin et al. 1992
World Health Organization 1991
Nguyen et al. 1992
Newland et al. 1992
Newland et al. 1994
Trachomatous
Blindness
(< 3/60)
Reference
Prevalence per 100 000
Review of available data on trachomatous blindness: population-based surveys after 1974 (continued)
World Bank Region
Country or area
Table 10.1
308
Global Epidemiology of Infectious Diseases
1990
1976
1976
1983
1985
1985
1990
1988–1989
Kenya
Kenya
Kenya
Malawi
Mali
Mali
Niger
Nigeria
6 831
2 958
3 299
3 538
1 574
13 803
844
895
< 3/60
<3/60
< 3/60
< 3/60
< 3/60
< 3/60
< 3/60
< 3/60
Surveys of nonrandomly selected rural communities. Study conducted in an onchocerciasis
mesoendemic area in northern Nigeria. Study
did not include children younger than 5 years.
Would be a good study for looking at sex ratio,
but does not report total numbers of males and
females examined.
Community-based, randomized cluster survey.
Obvious bias.
Randomized, community based survey of a rural
region. This thesis study was conducted in the
Mopti Region.
Randomized, community based survey of a rural
region. This thesis study was conducted in the
Kayes Region.
Surveys of randomly selected villages in one
region. Conducted in a region of central Malawi
where blindness is particularly common. People
younger than 6 years were not examined.
Random cluster sample in 8 rural areas.
Simple random sample at two nonrandomly
selected sites. In central Kenya. Methods used
for determining cause of blindness are not
provided. Definitions of “active” and “inactive”
disease are not provided. Study is too small
to reliably assess prevalence of trachomatous
blindness.
Surveys conducted at nonrandomly selected
sites in one region. Conducted in a semi-desert
area in north-west Kenya. Study is too small
to reliably assess prevalence of trachomatous
blidness.
3 323
1 300
1 000
1 300
1 271
700
1 659
1 117
278
400
340
369
0
130
118
223
Abiose 1994
Kabo 1990
Boré 1985
continued
Yattassaye 1985
Chirambo et al. 1986
Whitfield et al. 1990
Whitfield et al. 1983
Loewenthal & Peer
1990
Trachoma-Related Visual Loss
309
1979
1985
1986
South Africa
South Africa
Tanzania
NR = not reported
1981–1986
1976
South Africa
Togo
Date of
study
11 081
1 827
18 962
1 749
1 207
Population
examined
< 3/60
< 3/60
< 3/60
< 6/60
< 6/60
Random cluster surveys of 4 rural areas. WHO
sampling procedures. Prevalence of trachomatous blindness is only available for 1 of 4 areas.
Random cluster sample in an area known to be
hyperendemic for trachoma.Visual acuity was
only measured in individuals older than 7 years
Examination of all residents in randomly
selected villages in one district. District has an
ophthalmic hospital. Far fewer males examined
than females.
Random cluster sample in a rural community.
Conducted in an area known to be trachoma
endemic. Sample not representative; working
age males underepresented.
Random cluster sample in a rural community.
Conducted in an area known to be trachoma
endemic. Sample not representative; working
age males underepresented.
Blindness (low
vision) definition Comments
NR
1 259
575
NR
NR
Blindness
(< 3/60)
NR
328
58
610
331
World Health Organization 1989
Rapoza et al. 1991
Bucher & Ijsslmuider
1988
Ballard et al. 1983
Ballard, Sutter & Fotheringhan 1978
Trachomatous
Blindness
(< 3/60)
Reference
Prevalence per 100 000
Review of available data on trachomatous blindness: population-based surveys after 1974 (continued)
World Bank Region
Country or area
Table 10.1
310
Global Epidemiology of Infectious Diseases
Trachoma-Related Visual Loss
311
based surveys in which the criteria for blindness are clearly defined. Only
studies conducted after 1974 are included.
In Table 10.1, blindness and trachomatous blindness refer to best
corrected visual acuity less than 3/60. Values from studies that used different definitions of blindness have been adjusted based on the following
assumptions:
 the prevalence of best corrected visual acuity less than 6/60 is 1.5 times
the prevalence of best corrected visual acuity less than 3/60;
 the prevalence of best corrected visual acuity less than or equal to 6/60
is 2 times the prevalence of best corrected visual acuity less than 3/60
(Thylefors et al. 1995).
Only 11 country-wide, population-based surveys (13 studies) were
found to have looked at the prevalence of trachomatous blindness.
Estimation of the burden of trachoma
The calculation of disability adjusted life years (DALYs) lost as a result of
trachomatous blindness and low vision requires the following information: age-specific and sex-specific values of the prevalence of trachomatous
blindness and low vision for each of the eight GBD regions; the increased
risk of mortality incurred by trachomatous blindness or visual loss; and
disability weights for both blindness and low vision, which express the
fraction of a year of life lost because of having to live for that year with
disability (disability weights are discussed in the next section.
In order to develop regional prevalence values for trachomatous blindness, countries were grouped by the authors according to the following
scale:
0 = no known trachoma;
1 = trachoma infection, but no trachomatous blindness;
2 = trachoma infection, low prevalence of trachomatous blindness (≤ 100
per 100 000);
3 = trachoma infection, high prevalence of trachomatous blindness (> 100
per 100 000).
For each region with endemic blinding trachoma, estimates based on
the 11 available country studies and the country populations concerned
were then applied for categories 2 and 3 above. Box 10.2 sets out these
estimates.
To consider both blindness and low vision caused by trachoma, the
above-mentioned comprehensive review of available population-based
surveys was used to determine the ratio of visual loss to blindness. It was
found, based on 13 studies, that for each case of trachomatous blindness
312
Box 10.2
Global Epidemiology of Infectious Diseases
Regional prevalence per 100 000 for trachomatous
blindness according to prevalence level
World Bank Region
Low prevalence (category 2)
High prevalence (category 3)
SSA
75
203
MEC
31
160
OAI
26
—
CHI
47
—
IND
4
—
there are 1.16 individuals with trachomatous visual loss (Table 10.2).
This proportion has subsequently been applied in the assessment of low
vision attributable to trachoma in each region and globally. Data analysis
based on seven studies gave a sex ratio of 1.00:2.86 for male-to-female
prevalence of trachomatous blindness. This ratio was applied uniformly to
all countries with trachoma-related blindness and low vision (Table 10.3).
Furthermore, the age distribution of the prevalence of blindness and low
vision was calculated based on four studies, and the final result was applied
to all endemic countries or areas (Table 10.4).
Regional prevalence values for trachomatous blindness and low vision
are shown in Table 10.5. Tables 10.6 to 10.11 provide age-specific and
sex-specific values for the prevalence of trachomatous blindness in each
of the regions and globally.
Table 10.2 Ratio of people with low vision (< 6/18 – 3/60) to
people with blindness (< 3/60)
Population
examined
Number of
Blind (< 3/60)
Number with
low vision
(</6/18–3/60)
Ratio of low
visioned to
blind
Zgang et al. 1992
Thomson & Chumbley 1984
Chami-Khazraji et al. 1992
Pakistan Ministry of Health
x1989
Badr et al. 1992
Tunisia 1993
Whitfield et al. 1983
Whitfield et al. 1990
Yattassaye 1985
Boré 1985
Abiose 1994
Rapoza et al. 1991
1 579 316
6 038
8 878
6 690
742
22
3
6
869
11
3
1
1.17:1.00
0.50:1.00
1.30:1.00
0.17:1.00
4 268
3 547
844
13 803
3 538
3 299
6 831
1 927
6
1
1
18
13
11
19
6
8
1
3
46
10
11
12
3
1.33:1.00
0.99:1.00
3.00:1.00
2.54:1.00
0.78:1.00
1.00:1.00
0.63:1.00
0.50:1.00
Totals
1 645 926
848
981
1.16:1.00
Reference
Trachoma-Related Visual Loss
Table 10.3
313
Ratio of female prevalence of trachomatous blindness to
male prevalence
Prevalence of trachomatous blindness
per 100 000
Reference
Taylor 1987
Tabbasa & Ross-Degnan 1986
Bucher & Ijsselmuiden 1958
Total
Table 10.4
Age (years)
Males
Females
Ratio of female prevalence
to male prevalence
62
146
13
147
173
89
2.37 :1.00
1.19 :1.00
6.81:1.00
37
104
2.86 :1.00
Age distribution of the prevalence of trachomatous blindness
Total population
surveyed for visual
impairmenta
0–4
5–14
15–44
45–59
60+
Total
Trachomatous blindness
Number blinda
Prevalence per
100 000
Distribution of
prevalence (%)
4 280
6 459
9 697
1 500
1 240
0
1
6
8
30
8
11
67
544
2 419
0
0
2
18
80
23 176
46
3 049
100
a. Numbers derived from Ballard et al. (1983), Tabbara & Ross-Degnan (1986), Rapoza et al. (1991), and Badr
et al. (1992).
Table 10.5
Prevalence of trachomatous blindness and low vision by region
Trachomatous blindness
Number
Number
533 096
54
616 386
0
0
0
0
346 237
0
0
0
0
India
Latin America & the
xCaribbeanc
Middle Eastern
xCrescent
849 514
4
37 813
5
43 721
444 295
0
0
0
0
503 075
73
364 928
844
21 944
Other Asia & Islands
682 534
10
67 497
11
78 042
Sub-Saharan Africa
510 274
93
472 663
107
546 511
5 268 412
28
1 475 997
32
1 706 604
China
Established Market
xEconomiesa
Formerly Socialist
xEconomies of Europeb
Total
Prevalence
per
100 000
1 134 693
47
797 790
Trachomatous low vision
Prevalence
per
100 000
World Bank Region
1990
Population
(thousands)
a. Blinding trachoma is known to exist only among Australian Aborigines, who are not considered representative of the region.
b. Pockets of trachoma may exist but no information on trachomatous blindness could be identified.
c. Trachoma is known to be endemic in parts of Brazil, Guatemala, Mexico and Peru but its blinding propensity is considered insignificant.
586 199
Total
548 494
57 946
90 401
284 078
64 403
51 666
Females
Population (thousands)
1 134 693
118 189
187 398
591 383
137 077
100 646
Total
145 072
388 024
0
0
37 616
76 752
273 656
Females
Total
533 096
0
0
53 883
112 406
366 807
Number Blinded by Trachoma
0
0
15 265
32 489
97 318
Males
167 738
0
0
17 650
37 565
112 523
Males
448 648
0
0
43 493
88 743
316 411
Females
Males
59 789
101 752
200 525
47 567
29 768
439 401
Age (years)
0–4
5–14
15–44
45–59
60+
Total
410 113
56 679
95 263
183 242
46 005
28 924
Females
Population (thousands)
Total
849 514
116 468
197 015
383 767
93 572
58 692
10 309
0
0
1 136
2 426
6 747
Males
27 504
0
0
2 873
6 492
18 140
Females
Number blinded by trachoma
37 813
0
0
4 061
8 911
24 841
Total
11 920
0
0
1 314
2 805
7 801
Males
31 802
0
0
3 322
7 506
20 74
Females
43 721
0
0
4 695
10 303
28 723
Total
Number with low vision attributable to trachoma
616 386
0
0
6 301
129 968
424 116
Total
Number with low vision attributable to trachoma
Age and sex distribution of the people with blindness or low vision attributable to trachoma, India, 1990
60 243
96 997
307 305
72 674
48 980
0–4
5–14
15–44
45–59
60+
Table 10.7
Males
Age and sex distribution of the people with blindness or low vision attributable to trachoma, China, 1990
Age (years)
Table 10.6
314
Global Epidemiology of Infectious Diseases
256 389
Total
246 686
39 734
61 999
107 211
22 292
15 450
Females
Population (thousands)
503 075
80 895
127 344
221 106
44 629
29 101
Total
97 304
267 624
0
0
30 991
57 994
178 40
Females
Total
364 928
0
0
45 158
82 033
237 738
Number blinded by trachoma
0
0
12 872
22 720
61 712
Males
112 507
0
0
14 883
26 270
71 354
Males
309 437
0
0
35 832
67 055
206 550
Females
421 944
0
0
52 213
94 850
274 881
Total
Number with low vision attributable to trachoma
Males
43 763
84 032
160 825
34 138
20 208
342 966
Age (years)
0–4
5–14
15–44
45–59
60+
Total
339 568
41 988
80 217
159 611
35 090
22 662
Females
Population (thousands)
Total
682 534
85 751
164 249
320 436
69 228
42 870
17 622
0
0
2 220
4 242
11 160
Males
49 875
0
0
5 761
11 398
32 716
Females
Number blinded by trachoma
67 497
0
0
8 136
15 820
43 540
Total
20 375
0
0
2 567
4 905
12 903
Males
57 667
0
0
6 661
13 179
37 828
Females
78 042
0
0
9 407
18 292
50 343
Total
Number with low vision attributable to trachoma
Age and sex distribution of the people with blindness or low vision attributable to trachoma, Other Asia and Islands, 1990
41 161
65 345
113 895
22 337
13 651
0–4
5–14
15–44
45–59
60+
Table 10.9
Males
Age and sex distribution of the people with blindness or low vision attributable to trachoma, Middle Eastern Crescent, 1990
Age (years)
Table 10.8
Trachoma-Related Visual Loss
315
47 484
70 258
103 764
20 308
10 508
252 322
0–4
5–14
15–44
45–59
60+
Total
257 952
47 030
69 818
106 257
22 117
12 730
Females
Population (thousands)
510 274
94 514
140 076
210 021
42 425
23 238
Total
120 505
352 158
0
0
45 941
86 062
220 155
Females
Total
472 663
0
0
65 250
118 627
288 786
Number blinded by trachoma
0
0
17 690
31 159
71 656
Males
139 333
0
0
20 454
36 027
82 852
Males
407 178
0
0
53 118
99 508
254 552
Females
546 511
0
0
75 445
137 161
333 906
Total
Number with low vision attributable to trachoma
2 654 692
Total
Males
321 304
551 205
1 250 941
312 385
218 857
0–4
5–14
15–44
45–59
60+
Age (years)
2 613 720
309 253
525 543
1 198 642
311 067
269 215
Females
Population (thousands)
Total
5 268 412
630 557
1 076 748
2 449 583
623 452
488 072
390 813
0
0
49 183
93 036
248 594
Males
1 085 184
0
0
123 181
239 697
723 306
Females
Total
1 475 997
0
0
176 487
337 796
961 713
Number blinded by trachoma
451 872
0
0
56 867
107 572
287 433
Males
1 254 731
0
0
142 427
275 990
836 14
Females
1 706 604
0
0
204 061
390 573
1 111 969
Total
Number with low vision attributable to trachoma
Table 10.11 Age and sex distribution of the people with blindness or low vision attributable due to trachoma throughout the world, 1990
Males
Age (years)
Table 10.10 Age and sex distribution of the people with blindness or low vision attributable to trachoma, Sub-Saharan Africa, 1990
316
Global Epidemiology of Infectious Diseases
Trachoma-Related Visual Loss
317
The increased risk of mortality associated with blindness and low vision
is derived from a study conducted in Africa (Kirkwood et al. 1983), in the
absence of data from other regions. This study found the standardized
mortality rate to be 3.8 times higher among females blind as a result of
all causes and 2.5 times higher among blind males than among normal
sighted. The standardized mortality rate was found to be 1.5 times higher
among females with low vision and 1.4 times higher among males with
low vision than among normal sighted controls.
Disability
The rating of blindness in the grading of severity of disability needs to be
adjusted. Blindness implies severe repercussions for daily living activities,
as defined in category 6; all blind people should therefore be classified in
category 6, and people with low vision in category 5.
Other considerations
The pathway to blindness from trachoma is not specific, in the sense that
the corneal opacification induced by trachomatous trichiasis may be the
result of secondary infections. Therefore, if there is not enough awareness of the endemicity of trachoma in an area, it is likely that there will
be an underestimate as to the role of trachoma as a cause of blindness.
Furthermore, in certain rural settings, particularly in north Africa, there are
regular seasonal epidemics of conjunctivitis (Kupta, Nicetic & Reinhards
1968, Reinhards et al. 1968), which is transmitted by flies in great numbers. There is a known interaction between conjunctivitis epidemics and
the increased prevalence and intensity of trachoma in such populations,
but this fact may easily be overlooked by local health staff.
A majority of victims of trachomatous blindness are women because
of their prolonged and close contact with affected children, who act as a
reservoir of Chlamydia. The impact of severe trachoma can therefore be
considerable in making women of working age unable to fulfil their family
and socioeconomic role.
Disease as risk factor for other diseases
Trachoma in its advanced stage, with corneal complications, increases
considerably the risk of secondary corneal infections, which often lead to
ulcers and severe loss of vision. Long-standing cases of trachoma are likely
to develop the “dry eye” syndrome because of tear gland involvement;
this, again, acts as a further risk factor for blindness from infections as
a result of increased susceptibility of the eye. Furthermore, it should be
noted that cases of advanced trachoma with corneal complications are
difficult and high risk cases for eye surgery such as corneal transplants or
cataract or glaucoma surgery.
318
Global Epidemiology of Infectious Diseases
It has been demonstrated in Africa and North America that blindness is
associated with increased mortality (Hirsh & Schwartz 1983, Kirkwood et
al. 1983). This may be a result of increased vulnerability, as a consequence
of neglect, absence of social care and increased risk of accidents; it may
also be that blindness attributable to certain causes, such as cataract, is a
marker of ageing and thus an increased mortality.
Burden of trachoma and intervention
Treatment of trachoma should be carried out on a priority basis in communities with blinding trachoma. The objective of treatment is normally
limited to elimination of blindness from trachoma, as it is neither feasible
to eradicate the disease nor to eliminate the chlamydiae in the populations
concerned.
Treatment of trachoma is based on antibiotic topical or systemic treatment or both, surgery for inturned eyelids, and health education pertaining
to improved personal and environmental hygiene. Given that trachoma is
often highly endemic in affected rural communities, the antibiotic treatment is mainly a suppressive scheme (Dawson, Jones & Tarizzo 1981) to
reduce disease intensity; reinfections rapidly occur in the communities or
families concerned unless other measures to improve living standards and
behaviour occur (West et al. 1991). Thus, the effectiveness of trachoma
antibiotic treatment is limited to disease suppression, not to elimination.
Trichiasis surgery has recently been systematically evaluated (Reacher et
al. 1992) and a uniform method proposed.
Access to trachoma treatment for affected populations must be provided
regularly and in a long-term (several years) perspective.
The annual cost of preventing blindness from trachoma can schematically be calculated as the cost of one tube (5 gram) of tetracycline eye
ointment per person per year; at present, this amounts to approximately 15
US cents in a bulk purchase. The preventive treatment should be provided
throughout childhood if the level of intense inflammatory disease remains
high in the community concerned. Distribution costs will depend on how
community-based the control programme is in terms of primary health
care, or volunteer or self-treatment options. A more comprehensive model
for the cost of preventive topical or systemic treatment of trachoma has
been put forward (Dawson & Schachter 1985).
Trichiasis surgery can commonly be made available for a cost of approximately US$5–10 (consumables and partial cost of instruments).
Cessation of the current trachoma control activities could potentially
result in a doubling of the incidence of blindness from trachoma over a
period of 10–20 years. In contrast, if currently available interventions
were systematically applied in all endemic areas, it might be possible to
eliminate trachoma as a cause of blindness over the next 10 years. This
would necessitate strong governmental commitment with allocation of
needed resources, as well as environmental improvements (water and sani-
Trachoma-Related Visual Loss
319
tation) where needed, and behavioural changes for improved hygiene. A
new and more effective antibiotic treatment could substantially improve
the perspective of global trachoma control such as may be possible with
azithromycin, a new and long-acting macrolide.
Discussion
Trachoma has been subject to numerous attempts of control in the past.
Various medical and surgical treatment schemes have been used over the
centuries to get rid of the characteristic follicles on the inside of the eyelids, from copper-sulphate etching in pharaonic Egypt, to surgical compression of follicles with special forceps well into the 20th century. On a
public health level, trachoma was recognized as an important infectious
eye disease and cause of blindness; it was a matter of concern in relation
to population movements in Europe, and in the past immigration to the
United States of America in the 19th and early 20th centuries.
Effective public health measures specifically against trachoma were not
taken until after the Second World War. By then antibiotics were becoming available, and when the WHO started its work in the late 1940s,
trachoma was one of the first diseases subject to field research on more
effective large-scale control measures. After a number of field studies during
the 1950s, particularly in North Africa, a control strategy was designed
consisting of:
 antibiotic treatment with 1 per cent tetracycline eye ointment, which
could be applied on an intermittent basis;
 access to simplified and standardized trichiasis surgery;
 health education.
This strategy was consistently implemented over the following two
decades by the WHO, often in partnership with UNICEF , in most of the
endemic countries. The results were often quite positive, particularly in
areas of socioeconomic development, where there were improved living
standards and opportunities for changes in lifestyle. This is not surprising;
trachoma disappeared spontaneously in several European countries as a
result of better hygiene and living standards well before the antibiotic era.
Suppressive treatment of trachoma with antibiotics allows for rapid control
of the blinding intensity of infection. That element of the strategy is very
important in terms of preventing blindness, particularly in areas where
there are no immediate prospects of improving living standards.
The global picture of trachoma has changed considerably over the past
few decades as a result of the above-mentioned disease control efforts
and socio-economic developments. As the disease is so closely linked to
the social and public health situation, with poverty, crowding, and lack
of hygiene as major propagating factors, the epidemiological pattern
varies accordingly. This leads in many settings to difficulties in properly
320
Global Epidemiology of Infectious Diseases
assessing trachoma and its blinding propensity. The distribution of the
disease is often quite focal, with variations in its intensity. Furthermore,
significant differences in disease patterns can occur rapidly, as a result of
sudden behavioural or environmental changes, for example urbanization
or access to tap water.
Today trachoma is largely confined to the poorest population groups in
some 40 developing countries that are still endemic. The disease has been
pushed back in many countries, and is now found mainly in underserved
rural areas where there is little hope of socioeconomic development. This
makes it imperative to mount interventions for the prevention of blindness
from trachoma in these particularly vulnerable populations, as it may take
many years before the benefits of improved living conditions wipe out the
disease as a cause of visual loss.
For the reasons given above, the present global estimate of trachoma
given in this report can only be indicative. It is based on patchy epidemiological data, indicating only the likely magnitude of trachoma-related visual
loss in known endemic countries. Still, in the absence of the large-scale
population-based surveys that would be needed to derive a more reliable
estimate, the present estimate is probably the most reasonable, recognizing
the limitation of not having more accurate and updated information from
several major populations where recent disease changes are likely to have
occurred (e.g. China and India). It should also be noted that the present
estimate is very conservative, as it is based on a strict definition of visual
loss only in conjunction with trichiasis. This definition, although specific,
does not take into account other pathways to blindness from trachoma,
e.g. invasive pannus or corneal ulceration, often leading to a condition of
phthisis bulbi, which can have multiple origins.
It is important to recognize the association of blinding trachoma with
low standards of living; this allows for the focusing of interventions on the
poorest population groups, where trachoma is likely to be a very significant
cause of blindness and an obstacle to community development. The SAFE
strategy (surgery; antibiotics; facial cleanliness; environmental hygiene)
includes all the essential elements for successful trachoma control. The
surgery for trichiasis can prevent new cases of blindness; the antibiotics can
control the infection; and the personal and environmental hygiene provide
the answer to sustainability of achievements in the future. The recent availability of much-improved antibiotic treatment with azithromycin opens up
new perspectives for rapid and effective control of trachomatous infection
in the target populations, thus allowing for an accelerated implementation
of the SAFE strategy where needed.
Conclusions
Trachoma is the most important cause of easily preventable visual loss in
the world. It adds significantly to the disability burden amongst vulnerable poor population groups, where the disease is commonly found today.
Trachoma-Related Visual Loss
321
Trachoma control efforts, together with socioeconomic progress, have
pushed back the disease in many countries, but in remaining endemic areas
there is still a great need for the prevention of blindness from trachoma. A
comprehensive intervention strategy, including improved antibiotics, holds
out the promise of eliminating trachoma as a public health problem.
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Chapter 11
Chagas Disease
A Moncayo
Introduction
Chagas disease, named after the Brazilian physician Carlos Chagas who
first described it in 1909, exists only on the American continent (Chagas
1909). It is caused by a flagellate protozoan parasite Trypanosoma cruzi
transmitted to humans by blood-sucking triatomine bugs and by blood
transfusion.
Chagas disease has two successive phases: acute and chronic. The
acute phase lasts six to eight weeks. Once the acute phase subsides,
most infected patients recover an apparently healthy status, in which no
organ damage can be demonstrated by the current standard methods of
clinical diagnosis. The infection can be verified only by serological or
parasitological tests. This form of the chronic phase of Chagas disease is
called the indeterminate form. Most patients remain forever in this form
of the disease. However, several years after of starting the chronic phase,
and depending on the geographical area, 10–40 per cent of the infected
individuals will develop lesions of different organs, mainly the heart and
the digestive system. These conditions are called the cardiac or digestive
forms of chronic Chagas disease. The chronic phase lasts the rest of the
life of the infected individual.
Chagas disease is the primary cause of cardiac lesions in young, economically productive adults in the endemic countries in Latin America.
It has been targeted for elimination by the World Health Assembly in
Resolution WHA51.14, approved in May 1998 (World Health Organization 1998b).
Transmission by vectors
Chagas disease is a zoonosis transmitted in natural foci or ecological units
within a well-defined geographical environment. The ecological unit is
composed of sylvan or domestic mammals and of sylvan triatoma bugs,
326
Global Epidemiology of Infectious Diseases
both infected with T. cruzi. Continuous transmission is assured with or
without the involvement of human beings.
These conditions of transmission are present from latitude 42°N to
latitude 40°S. T. cruzi infection extends from the south of the United States
to the south of Argentina.
There are two phases of the human disease: the acute phase, which
appears shortly after the infection; and the chronic phase, which may last
several years and irreversibly affect the autonomic nervous system and
internal organs, in particular the heart, the oesophagus and the colon,
and the peripheral nervous system.
After an asymptomatic period of several years, 27 per cent of those
infected develop cardiac symptoms that may lead to chronic heart failure
and sudden death, 6 per cent develop digestive damage, mainly mega
colon and mega oesophagous, and 3 per cent suffer peripheral nervous
involvement (Pereira, Willcox & Coura 1985, Coura, Anunziato & Willcox
1983, Coura et al.1985).
Transmission via blood transfusion
The rural-to-urban migration movements that occurred in Latin America
in the 1970s and 1980s changed the traditional epidemiological pattern
of Chagas disease as a rural condition and transformed it into an urban
infection that can be transmitted by blood transfusion.
In most countries in Latin America it is now compulsory to screen for
infected blood in blood banks, and systems have been established to do so.
Definition
Chagas disease and its clinical forms are classified in the tenth revision
of the International Classification of Diseases (ICD-10) under code B57.
There have been no changes in the classification of the disease in the last
three revisions of the ICD.
Methods and Measurement
Transmission by vectors
Data on the prevalence and distribution of Chagas disease improved in
quality during the 1980s as a result of the demographically representative
cross-sectional studies carried out in countries where accurate information
was not available.
A group of experts meeting in Brasilia in 1979 devised standard protocols to carry out countrywide prevalence studies on human T. cruzi
infection and triatomine house infestation. These studies were carried out
during the 1980s in collaboration with the Ministries of Health of Chile,
Colombia, Ecuador, Honduras, Panama, Paraguay, and Uruguay. The
accurate information obtained has made it easier for individual countries
to plan and evaluate the effectiveness of national control programmes
Chagas Disease
327
(Pan American Health Organization 1974, Cedillos 1975, Marinkelle
1976, Zeledon 1976, Cordova et al. 1980, Camargo et al. 1984, Ponce
1984, Reyes Lituma 1984, Lopez 1985, Matta 1985, Schenone et al. 1985,
Sousa 1985, Salvatella et al. 1989, Acquatella 1987, Valencia 1990) (see
Table 11.1).
On the basis of these individual countrywide surveys it is estimated
that the overall prevalence of human T. cruzi infection in the 18 endemic
countries is 17 million cases. Some 100 million people (25 per cent of all
the inhabitants of Latin America) are at risk of contracting T. cruzi infection (see Table 11.2).
The incidence was estimated in 1991 at 700 000–800 000 new cases
per year and the annual deaths attributable to the cardiac form of Chagas
disease at 45 000 (UNDP/World Bank/WHO 1991).
The endemic countries can be divided into three groups according to
such indicators as: number of confirmed human cases; prevalence of seropositive tests in blood donors and population samples; and the presence of
infected vectors and reservoirs. The main factors on which these criteria are
based are the following: magnitude of the transmission; quantity and quality of the available epidemiological information; and existence or absence
of coordinated actions towards the control of this disease (UNDP/World
Bank/WHO 1987). The groups are identified as described below.
Table 11.1
Prevalence studies of human T. cruzi infection in Latin America
Sample
size
Argentina
Bolivia
Brazil
Chile
Colombia
Costa Rica
Ecuador
El Salvador
Guatemala
Honduras
Mexico
Nicaragua
Panama
Paraguay
Peru
Uruguaya
Venezuela
Percentage
infected
Year
Reference
Remarks
10.0
1976
Estimation
56 000 a
1 352 917 a
13 514 a
20 000
1 420
532
524
3 952 a
3 802 a
nd
nd
1 770
4 037 a
92
24.0
4.2
16.9
30.0
11.7
10.7
20.0
16.6
15.2
nd
nd
17.7
21.4
9.8
1980
1980
1985
1975
1976
1984
1975
1982
1984
nd
nd
1984
1983
1980
Pan American Health
Organization 1974
Valencia 1990
Camargo et al. 1984
Schenone et al. 1985
Marinkelle 1976
Zeledon 1976
Reyes Lituma 1984
Cedillos 1975
Matta 1985
Ponce 1984
Sousa 1985
Lopez 1985
Cordova et al. 1980
5 924
5 696
3.4
3.0
1985
1983
Endemic areas
Countrywide
Age group 0–6
years
Countrywide
Age group < 24
years
nd
.
.
.
.
.
.
Salvatella et al. 1989
Acquatella 1987
a Demographic sample statistically representative of the country‘s population.
nd = no data
Countrywide
Countrywide
Countrywide
Endemic areas
Endemic areas
Endemic areas
Rural areas
Countrywide
Countrywide
328
Table 11.2
Global Epidemiology of Infectious Diseases
Prevalence of human T. cruzi infection in Latin America,
1975–1985
Population at risk
(thousands)
Percentage of total
population
Number of infected
people (thousands)
Argentina
Bolivia
Brazil
Chile
Colombia
Costa Rica
Ecuador
El Salvador
Guatemala
Honduras
Mexico
Nicaragua
Panama
Paraguay
Peru
Uruguay
Venezuela
6 900
1 800
41 054
11 600
3 000
1 112
3 823
2 146
4 022
1 824
nd
nd
898
1 475
6 766
975
12 500
23
32
32
63
11
45
41
45
54
47
nd
nd
47
31
39
33
72
2 640
1 300
6 180
1 460
900
130
30
900
1 100
300
nd
nd
200
397
621
37
1 200
Total
99 895
25
17 395
nd = no data.
Group 1
The countries of this group present high prevalence of human T. cruzi
infection and high triatomine house infestation rates. These conditions
have induced the national health authorities to establish control activities
through vertical programmes or, more recently, within the context of primary health care strategies. Argentina, Bolivia, Brazil, Chile, Colombia,
Honduras, Paraguay, Peru, Uruguay and Venezuela are included in this
group.
Group 2
All the countries included in this group show evidence of intra-domiciliary transmission, with a clear association between T. cruzi infection and
electrocardiographic alterations as well as other pathologies attributable
to Chagas’ disease. No formal control programmes have yet been established in these countries. Costa Rica, Ecuador, and Mexico belong to this
group.
Group 3
These countries show evidence of domiciliary transmission, but more
accurate epidemiological data are needed to support a clear correlation
between T. cruzi infections and clinical records. In all these countries, the
acute phase of Chagas disease is frequently observed, and recent serologi-
Chagas Disease
329
cal data indicate that the prevalence of seropositive reactions to T. cruzi
antigens is high. El Salvador, Guatemala, Nicaragua, and Panama are
included in this group.
Transmission via blood transfusion
Table 11.3 shows the extent of the problem of transmission via blood
transfusion in some selected Latin American cities between 1980 and
1989 (Schmunis 1991). The prevalence of T. cruzi infection in blood varies
between 1.3 and 51.0 per cent, and is generally much higher than that of
hepatitis or HIV infection.
The transmission of Chagas disease via blood transfusion is a real threat
even in countries where the disease is not transmitted by vector, such as
the United States of America and Canada, where cases of acute Chagas
disease have been recently documented (Kirchoff et al. 1987, Grant, Gold
& Wittener1989, Nickerson et al.1989).
Course of human infection
Morbidity
Controlled prospective studies that describe the clinical evolution of the
cardiac form in T. cruzi-infected persons have been carried out in different
geographical areas of the continent. They provide accurate data on the
evolution of infection and clinical pathology of Chagas disease.
Overall, 58 per cent of the cases of myocardiopathy are observed in
young, economically productive adults, aged 20– 40 years. Signs and
symptoms of congestive heart failure are observed in 65 per cent of these
cardiac patients. Furthermore, 52 per cent of digestive system lesions,
such as mega colon and mega oesophagus, are observed in this same age
group. There are no differences in clinical manifestations by sex (Coura
et al. 1983).
Sudden death is registered in 64 per cent of myocardiopathy patients
with a median age of 47 years, whereas congestive heart failure is observed
in 36 per cent of cardiac patients with a median age of 78 years (Pereira,
Willcox & Coura 1985)
After 7 years of study of a Brazilian community in a prospective electrocardiographic survey, it was observed that cardiac lesions developed
soon after infection and their incidence was highest in younger age groups.
Most of those affected had become infected before 20 years of age.
As shown in Table 11.4, the incidence rates per 1000 person-years of
right bundle branch block (RBBB)—a characteristic conduction alteration
of chronic Chagasic myocardiopathy which leads to severe arrhythmia and
heart failure—were 19.2 in the age group 10–14 years, 3.5 in the age group
20–39 years and 2.8 in the age group 40–59 years among seropositive
people who had had a previously normal electrocardiogram. In contrast,
330
Table 11.3
Global Epidemiology of Infectious Diseases
Prevalence of Trypanasoma cruzi infected blood in blood
banks of selected countries
Number of
samples tested
Percentage
positive
58 284
2 003
2 441
4.9
17.6
8.4
Perez & Segura 1989
Perez & Segura 1989
Perez & Segura 1989
205
51.0
Carrasco 1990
2 413
3 000
56 902
14.6
4.8
2.9
Pereira 1984
Marzochi 1981
Dias & Brener 1984
214
62
3.7
14.5
Liendo et al.1985
Liendo et al. 1985
1 128
491
2.5
7.5
Guhl et al. 1987
Guhl et al. 1987
602
1.6
Urbina et al. 1991
1 054
3.2
Ecuador Ministry of Health 1961
1 225
11.6
Ponce & Ponce 1987
200
17.5
Velasco Castrejon & Guzman
Bracho 1986
562
11.3
Paraguay Ministry of Health 1972
329
12.9
Peru Ministry of Health 1972
445
71
699
4.7
4.2
7.7
Franca 1986
Franca 1986
Franca 1986
195 476
1.3
Schmunis 1991
Reference
Argentina
Buenos Aires (1987)
Santiago del Estero(1987)
Cordoba (1982)
Bolivia
Santa Cruz (1990)
Brazil
Brasilia (1984)
Parana (1987)
Sao Paulo (1982)
Chile
Santiago (1983)
Vicuna (1983)
Colombia
Bogotá (1990)
Cucuta (1987)
Costa Rica
San Jose (1985)
Ecuador
Guayaquil (1961)
Honduras
Tegucigalpa (1987)
Mexico
Puebla (1986)
Paraguay
Asunción (1972)
Peru
Tacna (1972)
Uruguay
Paysandu (1983–84)
Salto (1983–84)
Tacuarembo (1983–84)
Venezuela
Various cities
in the seronegative control groups there was no development of this characteristic circulatory lesion (Maguire, Hoff & Sherlock 1987).
In another 9-year prospective study the incidence of ventricular circulatory defects (VCDs) including RBBB was 23.8 per 1000 person-years in the
Chagas Disease
Table 11.4
Age group
(years)
10–14
20–39
40–59
10–19
20–39
30–59
> 30
331
Incidence of cardiac lesions and T. cruzi infection, rates per
1000 person-years
Rates per 1000 person-years
ECG lesion
Seropositive
RBBB
RBBB
RBBB
VCDs
VCDs
RBBB
RBBB
19.2
3.5
2.8
23.8
88.2
4.6
25.8%
Seronegative
0.0
0.0
0.0
3.3a
6.8a
0.0
8.6%
Reference
Maguire, Hoff & Sherlock 1987
Maguire, Hoff & Sherlock 1987
Maguire, Hoff & Sherlock 1987
Mota et al. 1990
Mota et al. 1990
Mota et al. 1990
Arribada, Apt & Ugarte 1986
RBBB = right bundle branch block
ECG = electrocardiogram
VCDs = ventricular conduction defects
a. p < 0.01
seropositive patients aged 10–19 years and 88.2 per 1000 person-years in
the seropositive patients aged 20–39 years, whereas the incidence of these
defects was 3.3. and 6.8, respectively in the seronegative groups of the same
ages (Mota et al. 1990).
Finally, in Chile after a 4-year follow-up study it was also found that
RBBB was three times more frequent among people who were seropositive for T. cruzi (25.8 per cent) than among those who were seronegative
(8.6 per cent) and the difference was statistically significant (p < 0.01)
(Arribada, Apt & Ugarte 1986).
It is assumed that the evolution of the human infection towards the
development of chronic cardiac lesions is similar in all endemic areas
throughout the continent.
Mortality
In a recent study in Minas Gerais, Brazil, it was found that among all
causes of death in a group young individuals aged 20–50 years old infected
with T. cruzi, 21 per cent was attributable to chronic Chagasic cardiomyopathy; in contrast, only 9 per cent of deaths in patients infected with T.
cruzi and who were older than 60 years were attributable to this condition
(Menezes 1989).
Mortality attributable to cardiac lesions in infected people is twice as
high in males 20–40 years old (25 per cent) as in females of the same
age group (11 per cent) (p < 0.01) (Coura et al. 1985). In another study,
excess mortality rates in seropositive patients aged 30 years or younger
were 71.4 per 1000 person-years, whereas no deaths were registered in
the seronegative group of the same age (Mota et al. 1990).
As indicated in Table 11.5, the mortality rate per 1000 person-years
for seropositive patients with RBBB was 33.5 and with ventricular extra
systoles (VEs) was 39.2, whereas with the two conditions combined
(RBBB and VEs) the mortality rate rose to 116.3 per 1000 person-years.
332
Table 11.5
Global Epidemiology of Infectious Diseases
Excess mortality rates with cardiac lesions, rates per 1000
person-years
ECG lesion
RBBB
VEs
RBBB and VEs
VEs (< 30 years)
VEs (> 30 years)
Seropositive
Seronegative
33.5
39.2
116.30
71.4
67.6
0.0
0.0
0.0
0.0
0.0
Reference
Maguire, Hoff & Sherlock 1987
Maguire, Hoff & Sherlock 1987
Maguire, Hoff & Sherlock 1987
Mota et al. 1990
Mota et al. 1990
RBBB = right bundle branch block.
VEs = ventricular extra systoles.
In the seronegative group with normal ECG the mortality was 3.9 per
1000 person-years (Maguire, Hoff & Sherlock 1987). The data reflected
in Table 11.5 clearly indicate the much higher relative risk of developing
myocardial lesions and dying as a consequence of these lesions in young
individuals who are seropositive with regard to T. cruzi as compared with
seronegative individuals of the same age group.
It is assumed that the mortality due to cardiac lesions follows a similar
pattern in all endemic areas throughout the continent.
Burden and intervention
Economic impact
The economic impact of the disease during the chronic stage is very high,
as shown by data from Brazil (Brazil Ministry of Health 1987).
If we consider that about 30 per cent of infected people will develop
severe cardiac and digestive lesions such as cardiac arrhythmia (75 000
cases), mega oesophagus (45 000 cases), and mega colon (30 000 cases)
per year, the estimated costs for pacemaker implants and corrective surgery (average US$5000) would amount to approximately US$750 million
per year, which would be enough for the improvement or construction
of more than 700 000 rural dwellings at a minimum estimated cost of
US$1000 each in Brazil.
Between 1979 and 1981, 14 022 deaths were resulted from Chagas
disease in Brazil, representing approximately 259 152 years of potential
life lost (YPLL) before the age of retirement. Assuming that all the patients
were unqualified rural workers only and that the minimum daily wage at
the time was US$2.50, the total economic loss attributable to premature
deaths would amount to US$237 million.
Current control programmes
The traditional vertical control programmes in the Latin American countries have focused on the spraying of insecticides on houses, household
annexes and buildings. National control programmes aimed at the inter-
Chagas Disease
333
ruption of the domestic and peridomestic cycles of transmission involving
vectors, animal reservoirs and humans are feasible and have proven to be
very effective. Reaching the goal of eliminating vector borne transmission
is more feasible in areas where the vector is domiciliated like Triatoma
infestans.
Eight countries of the Americas have active control programmes that
combine insecticide spraying with health education. The common pattern
of the vertical, centralized control programmes comprises three operational
phases:
 preparatory phase for mapping and general programming of activities
and estimation of resources;
 attack phase during which a first massive insecticide spraying of houses
takes place and is followed by a second spraying 3 to 6 months later, with
further evaluations for selective re-spraying of re-infested houses;
 surveillance phase for the detection of residual foci of triatomines after
the objective of the attack phase has been reached. Involvement of the
community and the decentralization of residual control activities are
essential elements of this last phase.
A prime example of an active control programme is the programme that
has been operating in Brazil since 1975 when 711 Brazilian municipalities had triatomine-infested dwellings. Ten years later, in 1986, only 186
municipalities remained infested. This represents a successful accomplishment of the programme objectives in 74 per cent of the originally infested
municipalities (Dias 1987).
In large parts of the Southern Cone countries, programmes have entered
the surveillance phase characterized by monitoring of house infestation
and, where necessary focal spraying.
New tools for vector control
Two new tools for triatomine control have been developed with the support of the WHO: fumigant canisters and insecticidal paints (UNDP/World
Bank/WHO 1998b).
After four years of implementation of a control programme in 600
scattered houses in Santiago del Estero, Argentina (covering some 3000
individuals), using fumigant canisters and a triatomine detection box for
entomological surveillance, seropositivity in infants under 1 year of age
dropped from 5.5 per cent to 0 per cent, while seropositivity in children
under 4 years of age dropped from 12.4 to 0 per cent. In other words,
the transmission of the disease through vectors was interrupted. The programme was implemented within a primary health care (PHC) context,
and had a strong component of health education. The cost of the whole
intervention, including canisters and triatomine detection boxes, PHC
personnel, serological evaluation, and so on was US$4.70 per house per
year, i.e. five times lower than the cost of the traditional vertical approach
334
Global Epidemiology of Infectious Diseases
and insecticide application used in the government control programme
(Chuit et al. 1992)
In another field project in 4800 houses in central Brazil ( covering some
30 000 people), the insecticidal paints still had a high level of efficacy 24
months after application, keeping more than 85 per cent of the treated
dwellings free of triatomines. This compares very favourably with the 60
per cent efficacy of traditional insecticide spraying. These insecticidal paints
are manufactured in Sao Paulo, Brazil. The cost per treated house over the
24-month period was US$29 for the paints, compared to US$66.34 for
Deltamethrin and US$73.40 for Benzene hexachloride. It was necessary
to apply the insecticides twice during the 24-month period, while only one
application of the paint was enough to attain the above-mentioned levels
of efficacy (Oliveira Filho 1988, 1989).
In an extended operation being carried out in selected areas of Argentina, Bolivia, Chile, Honduras, Paraguay, and Uruguay, these new control
tools are being applied following a common protocol that will permit
comparability of epidemiological and entomological efficacy, social acceptability and assessment of costs. A health education component will also
be included in the common protocol.
Results from Argentina, Chile, Honduras, and Paraguay are very
encouraging, based on the entomological evaluations at 12 to 24 months
post-intervention. The rates of house re-infestation when using the insecticide paints are two to three times lower than for houses sprayed with
traditional insecticides (see Table 11.6).
These innovations in triatomine control are being incorporated into the
regular activities of the control programme by the Ministry of Health of
Brazil in the State of Ceara, resulting in decreased operational costs and
increased efficacy of vector control.
Feasibility of interruption of transmission
The tools for interrupting the domestic cycle of T. cruzi transmission, such
as chemical control, housing improvement and health education, are available. In fact, the prevalence of the infection has decreased in countries that
have consistently applied control measures. For example, after 20 years of
control programmes in Argentina, positive serology in 18-year-old males
has significantly decreased since 1980, and the number of reported new
acute cases has decreased since the 1970s (Segura et al. 1985).
In Brazil, transmission by vector has been interrupted throughout
the State of Sao Paulo since the mid-1970s. Decreasing seropositivity
in school children has paralleled the above control efficacy: in 1976,
the incidence rate was 60 per cent, and in 1983 it dropped to 0 per cent
(Souza et al. 1984).
Transmission through transfusion could be prevented if blood was
screened serologically and positive units were discarded. In some countries of the region, serological screening for T. cruzi is mandatory for
blood donors.
Chagas Disease
Table 11.6
335
Efficacy of triatomine control tools: percentage of re-infested
houses after different interventions, Argentina, Chile,
Honduras and Paraguay, April 1994
Experimental group
Percentage of houses re-infested
Number of
houses
Chilea
Hondurasb
Argentinac
Paraguayc
150
5.6d
1.6d
2.5d
5.6
150
nd
3.0
0.66d
8.0
150
2.1d
0.8d
2.3d
2.6d
300
8.9
2.7
3.6
4.3
I
Peri-domicile: traditional
insecticide
Intra-domicile: paints
II
Peri-domicile: traditional
insecticide
Intra-domicile: canisters
III
Peri-domicile: paints
Intra-domicile: paints
IV (control)
Peri-domicile: traditional
insecticide
Intra-domicile: traditional
insecticide
Source: Progress reports of field research projects, Geneva, World Health Organization, June 1994 (unpublished data).
a. 24 months after interventions.
b. 18 months after interventions.
c. 12 months after interventions.
d. Statistically significant difference compared with control group.
Available knowledge therefore indicates that the most common ways
of transmitting human T. cruzi infection could be interrupted by:
 implementing of vector control activities in houses in order first to reduce
and then to eliminate the vector borne transmission of T. cruzi;
 strengthening the ability of blood banks to prevent transmission of
Chagas disease and other diseases transmitted by blood transfusion,
through the development and implementation of a policy for the use
of human blood.
Update
Initiative of the Southern Cone Countries
In Brasilia in June 1991, the Ministers of Health of Argentina, Brazil,
Bolivia, Chile, Paraguay and Uruguay launched an Initiative for the elimination of Chagas disease during the 1990s (MERCOSUR 1991). Since
Triatoma infestans, the vector of T.cruzi, is intra-domiciliary in these
countries, sustained implementation of control measures has successfully
336
Global Epidemiology of Infectious Diseases
interrupted transmission of Chagas, disease as indicated in Table 11.7
and Figure 11.1.
In these countries there are 11 million infected people and 50 million
are at risk. This represents 60 per cent of the prevalence of infected individuals for the whole continent.
Chagas disease is recognized as an important public health problem
and is being given increased priority for control, as demonstrated by the
initiative taken by the governments of the Southern Cone countries. That
initiative has been very successful. By cutting transmission in the Southern
Cone countries, the incidence of Chagas disease will be reduced by over
65 per cent in the whole of Latin America. A total of US$450 million has
Table 11.7
Human infection by Trypanosoma cruzi and reduction of incidence, Southern Cone initiative for the elimination of Chagas
disease: 1983–2000
Country
Age
group
(years)
Prevalence of infection
(percentage) in 1980–1985
Prevalence of
infection (percentage)
in 2001a
Reduction of
incidence in the age
group (percentage)
Argentina
Brazil
Chile
Paraguay
Uruguay
18
0–4
0–10
18
6–12
5.8 (Segura et al.1985)
5.0 (Camargo et al.1984)
5.4 (Schenone et al. 1985)
9.3c (Cerisola 1972)
2.5 (Salvatella et al. 1989)
1.2b
0.12
0.38
3.9
0.06
80.0
98.0
94.0
60.0
99.0
a. Reports to the 10th Meeting of the Intergovernment Commission of the Southern Cone Initiative, Montevideo, 2001.
b. Data for 1993.
c. Data for 1972.
Figure 11.1 Southern Cone Initiative for the elimination of transmission
of Chagas disease: incidence of infection 1980–2000
Incidence (%)
10
Paraguay (18 years)
Argentina (18 years)
Chile (<4 years)
1
Brazil (0–7 years)
0.1
0
1980
Uruguay (<12 years)
1985
1990
1995
Year
Source: Reports by national Chagas disease control programmes, 1993–2000.
2000
Chagas Disease
337
been allotted by the six countries for control operations since the start of
the initiative.
Technical representatives of each ministry of the Southern Cone countries have been designated to form an Intergovernmental Commission in
charge of implementation and evaluation of the control programmes. The
Pan American Health Organization (PAHO) has been appointed to act as
the Secretariat of this Commission. A programme guide, designed by the
Commission and incorporating revisions submitted by the professional
staff of the control programmes, has been used for the development of the
country programmes. The proposed plans for Argentina, Bolivia, Brazil,
Chile, Paraguay, and Uruguay are approved on a yearly basis by their
respective governments.
There have been 10 meetings of the Intergovernmental Commission,
held in Buenos Aires, Argentina (1992), Santa Cruz, Bolivia (1993), Montevideo, Uruguay (1994), Asuncion, Paraguay (1995), Porto Alegre, Brazil
(1996), Santiago, Chile (1997), Buenos Aires, Argentina (1998), Tarija,
Bolivia (1999), Rio de Janeiro, Brazil (2000), and Montevideo, Uruguay
(2001). At these meetings, the field activities of the country programmes
were reviewed annually, using common indicators to assess the impact
and cost-effectiveness of the national programmes.
Current data (World Health Organization 1994, 1995, 1996, 1997,
1998a, 1999a, 2000a, 2000b) on ridding of houses of insects, screening
blood banks, and the incidence of infection in the under-5 years age group
indicate that the vector-borne and tranfusional transmission of Chagas
disease were interrupted in Uruguay in 1997, Chile in 1999, and Brazil
in 2000. Argentina, Bolivia, and Paraguay were expected to follow soon
after.
Argentina: The whole endemic area of the country has been placed
under entomological surveillance, the most advanced phase of the elimination process. In 1980 the average house infestation rate for the country
as a whole was 30 per cent; in 1998 it was 1.2 per cent. That change is
equivalent to a 96 per cent reduction in house infestation by the vector.
The seroprevalence rates for the whole country for the age group 0–4
years is 0.9 per cent which confirms the very low number of acute cases
among children in this age group. In the age group 0–14 years, the rate
is 1.9 per cent. These data show that the goal of interruption of vectorial
transmission is being achieved.
Regarding blood safety, the coverage of the blood donations screened
against Chagas disease is 100 per cent in the blood banks of the public
sector and 80 per cent in the blood banks of the private sector (World
Health Organization 1996).
Bolivia: Data on serological prevalence in the general population indicates a rate of 28.8 per cent while the serological prevalence rate in the
age group of 0–4 years is 22.0 per cent in Cochabamba, it is 0.0 per cent
in Potosi where there is an active vector control programme. In Tupiza,
another department where there is an active control programme, the
338
Global Epidemiology of Infectious Diseases
house infestation rate is 0.8 per cent (Pan American Health Organization
1998b).
Brazil: The prevalence of human T. cruzi infection in the 7–14 year
age group in 1999 was 0.04 per cent as compared with 18.5 per cent in
1980. This represents a 99.8 per cent reduction of incidence of infection
in that age group.
Results of serological tests in a limited number of samples in the population of the 0–4 year age group in 1999 indicate that the seroprevalence in
that age group is 0.0 per cent which can be interpreted as a proof of the
interruption of vectorial transmission of Chagas disease in Brazil.
The number of domiciliated T. infestans insects captured by the control
programme in the whole country in 1998 was only 485. This represents
an average of 1 insect per 10 000 houses surveyed, i.e. an infestation rate
far below the minimum required for effective transmission of the parasite
to new patients. This information confirms the interruption of vectorial
transmission of Chagas disease in Brazil.
Chile: The overall infestation rate for the country was reduced from
3.2 per cent in 1994 to 0.14 per cent in 1999, a reduction of 99.8 per cent
over three years. In 1999, just 26 T. infestans insects were captured in the
interior of dwellings in the endemic areas of the whole country, representing 2.5 insects per 1000 houses, an infestation rate far below the threshold
required for effective transmission of the parasite to new individuals.
The infection rate in the age group 0–4 years in 1999 was 0.016 per
cent which represents a reduction of 98.5 per cent as compared to the rate
of 1.12 per cent that was found in the same age group in 1995.
An independent commission visited the endemic areas of Chile in
November 1999 and based on the above data certified the interruption
of vectorial transmission (World Health Organization 1999a, 2000a).
Paraguay: In a serological survey carried out in 1997 in a representative
sample (940 individuals) of children less than 13 years old in marginal areas
of the capital city of Asunción a significant decrease of prevalence rates
was observed in all age groups when compared with data for 1982.
Rural-urban migration to these marginal areas of Asunción comes
mainly from Paraguari, Cordillera, and Central, which have the highest
domiciliary infestation rates by triatomines. The zero prevalence rate in
the age group of less than 4 years old indicates interruption of transmission by triatomines in the urban areas of the capital (Pan American Health
Organization 1998a, 1998b).
Uruguay: The interruption of vectorial and transfusional transmission
was certified in 1997 and the whole country is under surveillance.
The incidence of infections in the age group 0–12 years was 0 per cent
which confirms the interruption of vectorial and transfusional transmission of Chagas disease in Uruguay since 1997 (World Health Organization
1998b).
Chagas Disease
339
Initiative of the Andean Countries
There are 5 million infected individuals in the Andean countries, and 25
million people those countries are at risk of contracting the infection.
This represents 27 per cent of the prevalence of infected individuals for
the whole continent.
As the vectors of Chagas disease in these countries are not strictly
domiciliated, it is necessary to adapt and test the vector control strategies
with respect to the local entomological conditions.
An initiative for the elimination of vectorial transmission in the Andean
countries of Colombia, Ecuador, Peru, and Venezuela, was launched at an
Intergovernmental meeting held in Bogotá, Colombia, in February 1997.
At that meeting detailed country-by-country plans of action, including
annual goals, budgetary needs, evaluation mechanisms and research needs,
were prepared (OPS/OMS 1997).
A second Intergovernmental meeting Commission was held in Maracay,
Venezuela, in March 1999. Progress in control activities was reported as
indicated below.
Colombia: The preparatory phase of the national Chagas disease control
programme has advanced. The prevalence survey has been completed and
a map of the country featuring the risk areas has been prepared. There
is a 100 per cent coverage of blood screening against T. cruzi infection
in blood.
Ecuador: The preparatory phase of the national Chagas disease control
programme has advanced. A law reorganizing the control programme was
issued on 8 December 1998, placing the programme under the Secretary
of Tropical Medicine, with specific functions and budget. A law for compulsory blood screening against T. cruzi was issued in August 1998. The
seroprevalence of infected blood in blood banks for the whole country is
0.2 per cent.
Venezuela: The control programme was officially established in 1966.
The objective of the programme was to interrupt intradomestic transmission through vector control by insecticide spraying. The programme for
improvement of rural housing, originally initiated in the 1960s, assists
rural inhabitants to substitute palm roofs, to plaster adobe walls and to
cement earthen floors. In addition, routine screening for T. cruzi in blood
banks began in 1988.
In children under 10 years of age, the figures for seroprevalence rates
of T. cruzi infection have decreased steadily in the past four decades: from
20.5 per cent in, 1958–1968 to 3.9 per cent in 1969–1979, and further
down to 1.1 per cent in 1980-1989, to 0.8 per cent in 1990–1999. Between
1990 and 1999, incidence of infection in the age group 0–4 years old was
reduced by 90 per cent to less than 1.0 per cent. The geographical distribution of T. cruzi transmission is restricted to the States of Portuguesa,
Barinas and Lara. The prevalence of infected blood in blood banks was
been reduced from 1.16 per cent in 1993 to 0.78 per cent in 1998 (World
Health Organization 1999b).
340
Global Epidemiology of Infectious Diseases
Initiative of the Central American Countries
In Central American countries, there are 2 million infected individuals and
26 million are at risk of contracting the infection. This represents 11 per
cent of the prevalence of infected individuals for the whole continent.
As the vectors of Chagas disease in these countries are not strictly
domiciliated, it is necessary to adapt and test the vector control strategies
with respect to the local entomological conditions.
In the Central American countries—Belize, Costa Rica, El Salvador,
Guatemala, Honduras, Mexico, Nicaragua, and Panama—progress in
control of blood banks is proceeding well. All of these countries except
one have issued legislation for compulsory blood screening against blood
infected by T. cruzi. An initiative for elimination of vectorial transmission
was launched at an intergovernmental meeting held in Tegucigalpa, Honduras in October 1997. At the meeting, detailed country-by-country plans
of action, including annual goals, budgetary needs, evaluation mechanisms
and research needs, were prepared (OPS/OMS 1997).
Further follow-up intergovernmental meetings have been held in Guatemala City, Guatemala, in 1998, in Managua, Nicaragua, in 1999, and
in San Salvador, El Salvador, in 2000. A summary of progress regarding
the updating of epidemiological and entomological data, vector control
activities and control of blood banks is given in Table 11.8.
Conclusions
Cost-effectiveness of Control Interventions
The Ministry of Health of Brazil carried out a study to analyse the costeffectiveness and cost-benefit of the Chagas disease control programme
in Brazil. Because of the chronic nature of the disease and the protracted
period of evolution, a period of 21 years was chosen for the analysis:
from 1975 to 1995. Data from different sources were used to carry out
the evaluation (Akhavan 1997).
Effectiveness was defined using various parameters; the main one was
the burden of disease prevented, measured in DALYs (disability-adjusted
life-years). From 1975 to 1995, the programme (excluding blood banks)
prevented an estimated 89 per cent of potential disease transmission, preventing 2 339 000 new infections and 337 000 deaths. This translated into
the prevented loss of 11 486 000 DALYs, 31 per cent from averted deaths
and 69 per cent from averted disability. These results illustrate the large role
of disability in the overall burden of disease caused by Chagas disease.
The estimated benefits (expenditures prevented) of the programme
(excluding blood banks) were US$7500 million, 63 percent of the savings
being health care expenditures and 37 per cent social security expenditures
(disability insurance and retirement benefits).
The cost-effectiveness analysis demonstrated that for each US$39 spent
on the programme, 1 DALY was gained. This places the programme and its
Epidemiological information
Not started
Ongoing survey in age
group 0–14 years
Starting in 1999
Ongoing survey in age
group 0–14 years
Ongoing survey in age
group 0–14 years
Ongoing survey in age
group 0–14 years
Starting in 1999
Belize
Costa Rica
El Salvador
Guatemala
Honduras
Nicaragua
Panama
Ongoing
Ongoing
Ongoing survey on mobility
of T. dimidiata
Ongoing survey on urban
infestation.
Ongoing survey on mobility
of T. dimidiata
Ongoing survey to map vectors at municipality level.
Ongoing
Ongoing
Not started
Entomological information
Spraying activities started in 1998 in the
central Departments, which are endemic
for R. prolixus
Starting in 1999
Rhodnius prolixus,
Triatoma dimidiata
Rhodnius prolixus,
Triatoma dimidiata
Surveillance activities as the vectors are
sylvatic
Spraying activities will start in 2000 in
the Departments of Quiché, Chiquimula,
Jalapa and Zacapa, which are endemic for
R. prolixus
Rhodnius prolixus,
Triatoma dimidiata
Rhodnius pallescens,
Triatoma dimidiate
Organization of control programme at the
Ministry of Health
Organization of control programme at the
Ministry of Health
Not started
Vector control activities
Triatoma dimidiata
Triatoma dimidiata
Unknown
Main vector
Summary of control activities in Central America, 1999
Country
Table 11.8
Unknown
65%
100%
80%
100%
Unknown
Unknown
Screening of blood
banks (coverage)
Chagas Disease
341
342
Global Epidemiology of Infectious Diseases
activities in the category of interventions with a very high cost-effectiveness.
The results of the cost-benefit analysis indicated savings of US$17 for each
US dollar spent on prevention, also indicating that the programme is a
health investment with a good rate of return. An analysis of other diseases
with socio economic causes demonstrated that the decline in Chagas disease
infection rates is attributable to the preventive activities, rather than to a
general improvement in living conditions.
Research
Current and future research priorities will focus on operational field
research for better planning of control activities, cost-effectiveness of interventions and assessment of the impact of control interventions. Regarding
blood banks, research is centred on standardization and improvement of
screening tests, evaluation of sensitivity and specificity of new screening
tests, and cost analysis of multiple blood bank screening.
A task force will focus its activities on the study of population dynamics
of non-domiciliated triatomine vectors of Chagas disease present in the
northern part of South America and in Central America. It is expected
that the entomological information generated will assist national control
programmes to adapt the vector control strategies that have proven very
successful in interrupting the vectorial transmission of Chagas disease in
the countries of the Southern Cone.
Studies will be carried out on:
 triatomine distribution and house/peridomicile infestation by non-
domiciliated species;
 genetic structure of populations of non-domiciliated triatomines;
 sylvatic/domestic mobility of vector populations;
 cost-effectiveness of different methods to ascertain house re-infestation;
 sensitivity of methods to detect re-infestation by non-domiciliated
species;
 monitoring of insecticide efficacy;
 effect of bio-climatic changes on domiciliated and non-domiciliated
vector populations.
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Chagas Disease
Table 11.9
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343
The time table towards the interruption of transmission of
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Prevalence cross-sectional studies on human infection and house infestation in nine countries are carried out (Acquatella 1987, Camargo et al.
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rural population in northeast Brazil. American Journal of Tropical Medicine
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Moncayo A, Luquetti A (1990) Multicentre double blind study for evaluation
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a non-endemic area. Annals of Internal Medicine, 111:851–853.
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Oliveira Filho AM (1989) Cost-effectiveness analysis in Chagas disease vectors
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Pereira MG (1984) Characteristics of urban mortality from Chagas’ disease in
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Chapter 12
Schistosomiasis
KE Mott
Introduction
Schistosomiasis, sometimes called bilharziasis (after the German physician
Theodor Bilharz), ranks high among parasitic diseases in terms of socioeconomic and public health importance in tropical and subtropical areas. One
measure of that importance within the development strategies of endemic
countries is reflected in executive level planning and inclusion of schistosomiasis control activities in national budgets in Brazil, China, Egypt, the
Philippines, and Morocco (World Health Organization 1993).
At least one form of schistosomiasis is now endemic in 74 tropical
developing countries. It is estimated that over 200 million people residing in rural agricultural and periurban areas are infected, while 500–600
million more run the risk of becoming infected as a result of poverty, substandard hygiene in poor housing, and inadequate public infrastructure.
Schistosomiasis is a major health risk in the rural areas of central China
and Egypt and ranks high in other developing countries.
Schistosomiasis is mainly a rural occupational disease that affects people
engaged in agriculture or fishing. In many areas, a large proportion of
children are infected by the age of 14 years; in other areas, women face
the highest risk because of domestic and occupational contact with fresh
water. Increased population movements help to propagate schistosomiasis,
as evidenced by its introduction into an increasing number of periurban
areas of north-eastern Brazil and Africa and among refugees in Somalia,
Zimbabwe and Cambodia. Controlling the disease is of strategic relevance
for development of tourism in endemic countries; it is recognized that
tourists now increasingly acquire schistosomiasis as “off-track” tourism
increases, sometimes with severe acute infection and unusual sequelae,
including paralysis of the legs.
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Schistosome parasitic worms
The major forms of human schistosomiasis are caused by 5 species of flatworm, or blood flukes, called schistosomes. Urinary schistosomiasis, caused
by Schistosoma haematobium, is endemic in 54 countries in Africa and the
Eastern Mediterranean. Intestinal schistosomiasis, caused by the mansoni
worm, occurs in 53 countries in Africa, the Eastern Mediterranean, the
Caribbean and South America. In 41 countries, both parasites are endemic.
Another form of intestinal schistosomiasis caused by S. intercalatum has
been reported in 7 central African countries. Oriental or Asiatic intestinal
schistosomiasis, caused by the S. japonicum group of parasites (including
S. mekongi in the Mekong river basin), is endemic in 7 countries in the
South-East Asia and the Western Pacific region.
Simple and inexpensive diagnosis
Diagnostic methods for schistosomiasis have recently been reviewed
(Feldmeier & Poggensee 1993) (Table 12.1). For diagnosis of urinary
schistosomiasis, a simple sedimentation can be used efficiently. A syringe
filtration technique using filter paper, or polycarbonate or nylon filters,
makes it possible for a team of 5 to examine up to 200 children in an hour
and a half. Children infected with S. haematobium nearly always have
microscopic or visual blood in their urine (haematuria). Children needing
treatment can be identified by merely looking at the urine specimen or
checking for microscopic blood using chemical reagent strips. The eggs of
intestinal schistosomiasis can be detected in faecal specimens by a technique
using cellophane soaked in glycerine, the Kato or Kato-Katz technique, or
Table 12.1
Diagnostic methods for schistosomiasis
Technique
Parasite
Sensitivity of single examination
Reference
Kato-Katz
S. mansoni
100% - infections > 100 epg
Sleigh et al. (1982)
Glass slide
Questionnaire
Reagent strips
Reagent strips
Reagent strips
Filtration
45% - infection 1–50 epg
100% - infections > 50 epg
Teesdale, Fahringer &
Chitsulo (1985)
S. haematobium 77–92% - infections > 64 eggs/10 ml Mott et al. (1985a)
of urine over age 15 years
Specificity = 62–82%
S. haematobium Sensitivity = 97 per cent > 64 eggs/ Mott et al. (1985b)
(haematuria)
10ml of urine
Specificity = 85%
S. haematobium Sensitivity = 88%
Stephenson et al. (1984)
(haematuria) Specificity = 97%
S. mansoni
S. haematobium Sensitivity = 67% overall = 83%
(haematuria)
= >50 eggs/10ml of urine
Specificity = 80%
S. haematobium 100% - infections > 20 eggs/10ml
epg = eggs per gram
Savioli et al. (1990)
Warren et al. (1978)
Schistosomiasis
351
between glass slides. The cost of the tests requiring a microscope is now
US$0.01 or less. The chemical reagent strips cost about US$0.05.
Safe and effective treatment
Three safe, effective drugs are now available for schistosomiasis and all
can be taken by mouth. Praziquantel, oxamniquine and metrifonate are
all included in the WHO’s model list of essential drugs (World Health
Organization 1990). Their discovery has revolutionized treatment of this
disease.
Praziquantel, effective against all forms of schistosomiasis, has proven
to have few and only transient side-effects and millions of people have benefited from treatment. Oxamniquine is used exclusively to treat intestinal
schistosomiasis in Africa and South America. Metrifonate has now proved
to be safe and effective for the treatment of urinary schistosomiasis.
Box 12.1
Schistosomiasis: life history of a worm
 People contaminate the environment by their unsanitary habits. They acquire schistoso-
miasis infection through repeated daily contact with fresh water during fishing, farming,
swimming, bathing, washing and recreational activities.
 Eggs, excreted in urine or faeces from an infected person, break open on reaching
water, releasing a tiny parasite (a miracidium) which swims frantically through the
water by means of the fine hairs (cilia) covering its body, in search of a freshwater snail
in which it can develop further. The parasite must find a snail host within 8–12 hours
before it perishes.
 Once it has penetrated the snail, the parasite divides many times until thousands of new
forms (cercariae) break out of the snail into the water. This phase of development takes
4–7 weeks or longer, depending on the type of parasite.
 Outside the snail, the cercariae, which have long forked tails, can live for 48 hours at the
longest. They can penetrate a person’s skin within a few seconds in order to continue
their growth cycle.
 As the cercaria penetrates the skin using secretions from its special glands, its tail falls off.
Within 48 hours it has passed completely through the skin into the blood vessels. Sometimes this process causes itching (swimmer’s itch or cercerial dermatitis), but otherwise
most people never notice it.
 Within weeks, the young parasite transforms itself into a long worm—either a male or a
female. The female can produce eggs only when a male worm is present. Male and female
adult worms remain joined together for life (less than 5 years on average, though they
can live for up to 40 years); the more slender female is held permanently in a groove in
the front of the male’s body. Once eggs are produced—over 200 per day depending on
the species—the cycle starts again.
 In intestinal schistosomiasis, the worms attach themselves to the walls of the blood ves-
sels lining the intestines. In urinary schistosomiasis, they live in blood vessels of the bladder. Only about half of the eggs leave the body in the faeces (intestinal schistosomiasis)
or in the urine (urinary schistosomiasis); the rest remain embedded in the body, damaging
organs, including liver, spleen, heart and esophagus.
 Heavy infections with schistosome parasites, occurring mainly in children, cause the actual
disease. The eggs laid by the female worm—not the worms themselves—damage the
bladder, intestines or other organs.
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Global Epidemiology of Infectious Diseases
Even though re-infection may occur after treatment, the risk of developing severely diseased organs is diminished and even reversed in young
children in the short term for all forms of schistosomiasis (Jordan, Webbe
& Sturrock 1993). In most areas, a reduction in the overall number of
cases has been obtained by mass treatment and maintained for 1.5–2 years
and in other areas up to 5 years without further intervention.
No long-term follow-up studies after treatment of S. haematobium or
S. japonicum are available.
Definition and measurement
Historically, the term “bilharziasis” was commonly used for schistosomiasis. Following an expert group report on the epidemiology and control
of schistosomiasis (World Health Organization 1967), “schistosomiasis”
became the official terminology. Schistosomiasis is a group of diseases,
rather than a single entity. The standard criteria on diagnosis of each type
of schistosomiasis is the presence of eggs in excreta. The use of the term
“schistosomiasis,” however, reduces the possibility of discriminating between
the different diseases associated with each type of infection.
Efforts were undertaken to refine the reporting of morbidity attributable
to schistosomiasis in the development of the Ninth Revision of the International Classification of Diseases (ICD-9), whose preparation began in 1969
and concluded in 1975. The ICD-9 categories are as follows:
120.0 Schistosoma haematobium
120.1 Schistosoma mansoni
120.2 Schistosoma japonicum
120.3 Cutaneous
120.8 Other
Infection by Schistosoma:
 Bovis
 Intercalatum
 Mattheei
 Spindale
 cherstermani
120.9 Schistosomiasis, unspecified
In ICD-9, the adaptation of ICD-O for oncology permitted the designation of the cell type of carcinoma. This was relevant to bladder cancer
associated with schistosomiasis (S. haematobium only) in which squamous
cell types predominate (M805–M808) as compared to transitional cell
types (M812–M813).
Deficiencies in the description of morbidity attributable to schistosomiasis
(in contrast to the detail of morbidity regarding amoebiasis and Chagas
Schistosomiasis
353
disease) were addressed in preparations for the tenth revision of the International Classification of Diseases (ICD-10). The First Expert Committee
on Control of Schistosomiasis proposed eight new definitions to be integrated into ICD-10 either under B65 or as a qualifier under the disease state
(World Health Organization 1985). These were provided to the secretariat of
ICD-10 as part of the background preparatory documents. The suggestions
were partially accepted. In ICD-10, schistosomiasis is classified as B65 and
each of the three main species infecting humans are classified separately. S.
intercalatum and S. mekongi come under B65.8—other schistosomiases.
The ICD-10 categories are as follows:
B65.0 Schistosomiasis due to Schistosoma haematobium [urinary schistosomiasis]
B65.1 Schistosomiasis due to Schistosoma mansoni [intestinal schistosomiasis]
B65.2 Schistosomiasis due to Schistosoma japonicum [Asiatic schistosomiasis]
B65.3 Cercarial dermatitis
B65.8 Other schistosomiases
Infections due to Schistosoma:
 Intercalatum
 Mattheei
 Mekongi
B65.9 Schistosomiasis, unspecified
The category for infection attributable to S. chestermani (the same as S.
intercalatum) in ICD-9 was removed in ICD-10. A number of codes were
introduced to classify clinical sequelae of schistosomiasis infection in ICD-10
(see Box 12.2). In ICD-10, haematuria attributable to schistosomiasis is
classified under R31 rather than N02 since the origin is the bladder rather
than the glomeruli.
Unlike most other infectious diseases, infection with Schistosoma is
epidemiologically and clinically different from disease attributable to Schistosoma. Schistosomiasis is a chronic infection whose onset is difficult to
detect. Thus, incidence is generally not measured; if it is, it reflects only the
specific geographical area studied and cannot be extrapolated. Prevalence
of schistosomiasis is the usual epidemiological variable measured.
Morbidity (disease or impairment of the normal state that affects performance of vital functions) is a result of prior or concurrent infection
with Schistosoma. With currently available techniques it is, however, difficult to measure clinical impairment in the early stages of disease or in
light infections.
Schistosomiasis infection is thought to be associated with increased risk
of other parasitic infections. Aside from the theoretical assumptions on
354
Box 12.2
Global Epidemiology of Infectious Diseases
Tenth revision of the International Classification of diseases (ICD 10) codes for schistosomiasis sequelae
ICD 10 code
Sequela
K77.0 Liver disorders in infectious and
parasitic diseases classified elsewhere
Hepatosplenic schistosomiasis
J70.8
Cor pulmonale attributable to schistosomiasis
would probably be designated under J70.8
N29.1
Disorders of the kidney and ureter in schistosomiasis (bilharziasis)
Portal hypertension in schistosomiasis
N33.8 Bladder disorder in schistosomiasis (bilharziasis)
R31
Haematuria due to schistosomiasis is to be
classified under R31 rather than N02 since the
origin is the bladder rather than the glomeruli
Source: World Health Organization (1987)
the frequency of the association of schistosomiasis with other diseases at
the population level (Bundy et al 1991), published reports on community
studies in Brazil (Lehman et al. 1976), Chad (Buck et al. 1970), Egypt (El
Malatawy et al. 1992), Kenya (Thiongo and Ouma 1987), Sierra Leone
(White et al. 1982), and Zambia (Wenlock 1979), have shown that Schistosoma infection is not consistently associated with other parasitic infections. When present, the consequences of multiple infections on morbidity,
disability and mortality have not been adequately studied.
In summary, a “gold standard” for the measurement of schistosomiasis
morbidity has not been developed. This chapter will attempt to clarify
this matter so that, within national development priorities, the impact
of schistosomiasis can be accurately identified and the ensuing changes
induced by control and development can be reliably assessed.
Potential confounding diseases
Of all the types of schistosomiasis, disease attributable to Schistosoma
haematobium is the most likely to be confounded with other diseases.
When haematuria is present, the disease may be misdiagnosed as glomerulonephritis (ICD-10 code N02.9) or haematuria of unknown etiology
(ICD-10 code R31).
In a known endemic area, the direct correlation between gross and
microscopic haematuria and infection attributable to S. haematobium
permits the valid use of haematuria as a proxy for infection even after large
scale treatment. The picture may be further complicated if renal biopsy
is performed, since both S. mansoni and S. haematobium infection have
been associated with morphological changes with clinical manifestations
Schistosomiasis
355
ranging from nephrotic syndrome (ICD-10 code subdivisions .5 and .6,
i.e. membranoproliferative glomerulonephritis types 1–3).
In most endemic areas of schistosomiasis attributable to S. haematobium, the incidence of squamous cell bladder cancer is high. Epidemiological data do not usually cite the association with schistosomiasis as an
etiological agent. Such detail is subject to the thoroughness of the surgical
pathological studies (incomplete in endemic areas) or the training and
personal interest of the surgeon (as in Egypt).
Although most people in the endemic areas have light infections with
no symptoms, the economic and health effects of schistosomiasis should
not be underestimated. In the north-east of Brazil, in Egypt, and in Sudan,
the work capacity of rural inhabitants is severely reduced because of the
weakness and lethargy caused by the disease. The school performance and
growth patterns of infected children are also retarded; after treatment,
remarkable improvement occurs.
A major constraint in the determination of the burden of disease of
schistosomiasis is that it does not occur in isolation. It is one of the diseases of poverty and is linked to all other infectious and parasitic diseases
of poverty. Within any community, it most affects the poorest segment of
the population.
Data sources available and their biases
The standard references for the current distribution and prevalence of
schistosomiasis are two WHO documents. In the CEGET/WHO Atlas
of the global distribution of schistosomiasis (Doumenge et al. 1987), the
geographical distribution of all forms of schistosomiasis is identified on the
basis on an exhaustive compilation of published epidemiological studies
as well as surveys carried out by ministries of health. The prevalence was
estimated (extrapolated) using this geographical representation of data and
the actual surveys or epidemiological data (Utroska et al. 1989).
The heterogeneity of the spatial distribution of the prevalence of parasitic
diseases is widely recognized (Ashford, Craig & Oppenheimer 1992, 1993).
The clustering of heavy infections attributable to S. mansoni and S. japonicum is also heterogeneous (Mott 1982). With the exceptions of Algeria,
Brazil, Botswana, China, Egypt, Mali, Malawi, Morocco, and Zimbabwe,
however, the data available to Ministries of Health are not disaggregated to
the village level; thus most national statistics are intrinsically inadequate.
Review of the empirical databases by world bank
regions
There is no single standard database for schistosomiasis. Schistosomiasis
is not usually reported as an infection nor are any of its disease manifestations reported separately (Iarotski & Davis 1981). The CEGET/WHO
Atlas of the global distribution of schistosomiasis (Doumenge et al. 1987)
356
Global Epidemiology of Infectious Diseases
comprises the most complete database to the village level of endemic countries. Systematic extrapolation of these data to obtain accurate national
estimates of the prevalence or morbidity is not possible because of the
heterogeneity of the data and the distribution of the infection and disease
within any particular country. Despite these limitations, an attempt has
been made to estimate prevalence in order to assess the potential need for
antischistosomal drugs (Utroska et al. 1989).
Unlike the analysis of information on acute infectious diseases, the interpretation of incidence data has many limitations in schistosomiasis (Jordan,
Webbe & Sturrock 1993). To calculate incidence accurately requires greater
sensitivity of the diagnostic techniques than those currently available or
in use by health services (Sleigh & Mott 1986).
Any age-specific data on prevalence of schistosomiasis attributable to
S. mansoni and S. haematobium should be interpreted with caution and
compared with the age distributions shown in Tables 12.2–12.8. There
seems to be no standard age distribution for S. japonicum. This is probably because no endemic area has not been exposed to intervention since
1950 and in some areas, transmission has been eliminated.
Extensive analytical reviews of the published literature on the morbidity
of schistosomiasis have been conducted by Gryseels (1989) and Sleigh &
Mott (1986). There is general agreement that heavy infections, as measured by faecal or urinary egg counts, are associated with disease. Most
of the relevant studies are referred to in Tables 12.2–12.8 or discussed in
the text of this review. The major information gap is the lack of statistics
on schistosomiasis as a cause of outpatient visits, hospitalization and even
as a cause of death.
Established Market Economies
Only Japan is endemic in this region. No new cases have been reported
since 1978. Thus no mortality could be attributed below age 15 years.
Formerly Socialist Economies
Schistosomiasis is not endemic in these countries.
India
S. haematobium has been confirmed near Hyderabad. The extent of the
problem requires further investigation and any estimates cannot be confirmed.
China
The current prevalence estimate of 1.5 million people infected, proposed by
the Ministry of Public Health of the People’s Republic of China, is based
on a national sample survey in 1989 (China Ministry of Public Health
1992). The sex ratio in the sample survey was 14.2:8.3 (male:female).
Prevalence studies for China are summarized in Table 12.2.
China
1990
Not stated
Not stated
Prevalence (%) Morbidity
Surveys on
nutrition and
health in 49
counties
Source
S. Japonicum empirical databases, China
65 counties
Location
Date
Table 12.2
M
0
0
1
2
5
8
17
30
42
70
95
122
197
181
247
209
231
29
1–4
5–9
10–14
15–19
20–24
25–29
30–34
35–39
40-44
45–49
50–54
55–59
60–64
65–69
70–74
75-79
80+
All
0
1
0
1
1
2
6
11
16
34
58
84
108
135
183
177
221
21
F
Mortality Rate
per million
Age group
(years)
Results
Junshi et al. (1990)
Reference
continued
Note: rectal cancer and colon
cancer (registered separately) had
lower cumulative mortality rates
for 0–64 years than schistosomiasis. All these were significantly
associated with schistosomiasis
japonica.
Data from 49 counties used in
calculations. Only 20 are endemic.
Mortality estimates are probably
low.
Comments
Schistosomiasis
357
China
1992
11.8
57 600
advanced cases
in the entire
country
Prevalence (%) Morbidity
Stratified group
random sample
= 1 per cent of
the population
of the endemic
area: Hubei,
Hunnan, Anhui,
Jiangxi
Source
0–4
5–9
10–14
15–19
20–29
30–39
40–49
50–59
60+
M
F
Age group
(years)
Results
S. Japonicum empirical databases, China (continued)
M = males, F = females
Location
Date
Table 12.2
2.8
6.9
10.0
13.6
12.3
8.4
13.4
13.5
12.8
14.2
8.3
Prevalence (%)
China Ministry of
Public Health
Reference
Comments
358
Global Epidemiology of Infectious Diseases
Schistosomiasis
359
Other Asia and Islands
Schistosomiasis attributable to S. japonicum and S. mekongi are present
in five countries of this region. Available prevalence data are summarized
in Table 12.3. The prevalence of infection resulting from S. japonicum in
Indonesia is less than 1 per cent among a population at risk of 10 000
persons. S. malayensis has only been reported in 10 persons of a single
ethnic group in Malaysia. In Thailand, less than 5 cases have been reported.
Thus schistosomiasis is prevalent only in Cambodia and the Lao People’s
Democratic Republic (S. mekongi) and the Philippines (S. japonicum).
There are no studies on comparative morbidity between S. japonicum
and S. mekongi. The distribution in the Lao People’s Democratic Republic
overlaps with a higher prevalence of opisthorchiasis, and increased morbidity may be present in these areas.
In the Philippines, Tanaka et al. have attempted to measure incidence
among schoolchildren (Tanaka et al. 1984) and to assess the impact of
treatment on incidence (Tanaka et al 1985). Incidence at age 7 years was
18.6 per cent and at age 12 years was 33.9 per cent; no difference between
sexes was observed.
Sub-Saharan Africa
Schistosomiasis attributable to S. mansoni or S. haematobium is endemic
in 41 countries of this region. It is not endemic in Cape Verde, Comoros,
Djibouti, and Lesotho. Representative population-based studies of the
prevalence and morbidity of schistosomiasis are shown in Table 12.4. Brinkmann et al. (1988) have published data on age and sex distribution in 13
village clusters in Mali of infection with S. mansoni or S. haematobium.
Schistosomiasis resulting from S. intercalatum has received more attention recently and is now reported from eight West and Central African
states. The geographical extent of risk is unknown, but the morbidity
seems low (see Table 12.5).
One example of the limitations of estimating national prevalence of
infection has been published by Ratard et al. (1992) concerning Cameroon.
The data derived from a national school survey of 5th grade primary school
students (average age 13 years: range 10–19 years) were extrapolated to
show a maximum number of 719 000 cases (range 392 900–1 027 800) in
contrast to an estimate of 2 239 591 cases (range 1 261 355–3 267 963),
which was based on an assessment of published literature (Utroska et al.
1989). In general, national surveys have not been done in sub-Saharan
African; where available, as in Zimbabwe (Taylor & Makura 1985), the
limitations of these data are recognized and no attempt is made to estimate
national prevalence.
Latin America and the Caribbean
Only schistosomiasis attributable to S. mansoni is present in this region.
Several prevalence distributions are presented in Table 12.6. Mortality due
to schistosomiasis in Brazil and Surinam is discussed below.
Location
Philippines
Philippines
1979
1980
43
40.1
Prevalence (%)
Hepatomegaly and splenomegaly
assoication with infection
25% of those infected had hepatomegaly or splenomegaly
Morbidity
N = 755 (90% of
the residents)
Village
N = 851 (45% of
the residents)
Village
Source
S. japonicum empirical databases by region, Other Asia and Islands
Date
Table 12.3
0
14
57
63
73
62
71
57
2
10
37
47
44
65
60
50
F
M
0
12
40
68
81
81
74
77
65
63
63
Age group
(years)
<1
1–4
5–9
10–14
15–19
20–24
25–34
35–44
45–54
55–64
65+
0
0
21
48
52
25
46
59
58
23
17
F
Prevalence (%)
M
1–4
5–9
10–14
15–19
20–29
30–39
40–49
50+
Prevalence (%)
Age group
(years)
Results
WHO workshop (1980)
Lewert,Yogore & Blas
(1979)
References
360
Global Epidemiology of Infectious Diseases
Philippines
1983
M = males F = females
Philippines
1980
Village C: 44
Village B: 39
Village A: 26
35
Hepatomegaly and splenomegaly
associated with infection
Hepatomegaly associated with
infection
Village C
N = 1113
Village B
N = 824
Village A
N = 289
N = 1010
Village
M
10
13
37
19
39
0
47
33
25
20
Age group
(years)
A
F
1–4
5–9
10–14
15–19
20–24
25–29
30–39
40–49
50–59
60+
5
27
18
44
40
33
53
30
0
0
4
17
49
68
44
57
50
51
47
42
9
31
52
46
30
23
41
48
31
39
M
B
43
44
35
40
58
35
35
48
34
39
F
Village
F
8
33
70
69
83
39
45
55
53
62
M
8
10
18
46
18
25
38
53
37
11
Prevalence (%)
M
1–4
5–9
10–14
15–19
20–24
25–29
30–39
40–49
50–59
60+
Prevalence (%)
Age group
(years)
C
6
24
46
52
29
50
47
55
49
49
F
Domingo et al. (1980)
Schistosomiasis
361
Location
Uganda
Kenya
Date
1972
1976
Table 12.4
82%
89%
Prevalence
0
6
3
9
9
Haematemesis
(ever) (%)
Splenomegaly 3% vs 0
in uninfected
0–4
5–9
10–19
20–39
40+
Age group
(years)
Morbidity
Village
N=416
Village
N = 231
Source
S. mansoni empirical databases, sub-Saharan Africa
1–4
5–9
10–19
20–29
30–39
40–49
50–59
60–69
70+
Age group
(years)
<1
1–4
5–9
10–14
15–19
20–29
30–39
40–49
50–59
60+
Age group
(years)
Results
71
91
1000
97
80
73
67
1000
20
M
47
95
97
80
67
70
58
67
86
F
Prevalence (%)
30
60
80
95
100
100
100
100
100
100
Prevalence (%)
(estimated from
graph)
Siongok et al.
(1976)
Ongom & Bradley (1972)
Reference
Kato technique used
Raw data not presented
Comments
362
Global Epidemiology of Infectious Diseases
Ethiopia
Kenya
1976
1979
47%
Village B =
10.7%
Village A =
43.3%
Abdominal pain
Low
30%
household
sample
Village B
N = 155
Village A
N = 352
50%
household
sample:
12
52
93
85
81
48
36
22
1–4
5–9
10–14
15–19
20–29
30–39
40–49
50+
0–4
5–9
10–14
15–19
20–24
25–29
30–39
40–49
50–59
60+
Age group
(years)
M
0
6
18
5
8
0
0
0
M
15
23
57
73
85
78
58
1000
71
90
M
17
32
55
50
38
67
57
47
67
50
F
Prevalence (%)
8
49
60
25
27
25
9
36
F
20
29
0
0
0
0
7
F
Village B
Prevalence (%)
Village A
Age
group
(years)
Smith, Warren
& Mahmoud
(1979)
Hiatt (1976)
continued
Kato technique used
Kato technique used
Schistosomiasis
363
Burundi
Uganda
1988
1992
M = malesF = females
Location
Date
Table 12.4
F = 81%
M = 82%
33%
Prevalence
High intensity of
infection
Hepatomegaly and
splenomegaly associated with infection
Morbidity
20%
population
sample
n = 6 203
5%
population
sample
Source
M
M
51
83
93
90
90
91
75
0–4
5–9
10–14
15–19
20–29
30–39
40+
73
77
94
91
81
76
84
F
Prevalence (%)
(estimated from graph)
F
Prevalence (%)
11
27
43
46
44
37
34
35
36
Age group
(years)
0–4
5–9
10–14
15–19
20–29
30–39
40–49
50–59
60+
Age group
(years)
Results
S. mansoni empirical databases, sub-Saharan Africa (continued)
Kabaterine et al.
(1992)
Gryseels (1988)
Reference
Kato technique used
Comments
364
Global Epidemiology of Infectious Diseases
Equatorial
Guinea
Gabon
1990
1992
M = males, F = females
Location
29
21
Splenomegaly caused by
infection
Diarrhoea and blood in
the stool associated with
infection
Prevalence (%) Morbidity
Village
N = 354
Periurban
N = 1221
Source
12
38
32
18
7
3
0–4
5–9
10–14
15–24
25–44
45+
10
35
48
26
9
9
F
M
14
48
52
60
50
25
0
0
7
Age group
(years)
0–4
5–9
10–14
15–19
20–29
30–39
40–49
50–59
60+
8
46
65
53
35
22
18
0
4
F
Prevalence (%)
M
Age group
(years)
Prevalence (%)
Results
S. intercalatum empirical databases by region, sub-Saharan Africa
Date
Table 12.5
Martin-Prevel et
al. (1992)
Simarro, Sima &
Mir (1990)
Reference
Sedimentation used first, Kato
for quantification.
Kato technique used.
Note infection almost absent
after age 45 years.
Comments
Schistosomiasis
365
Brazil
Brazil
1962
1976
80
83
Prevalence (%)
52% spleen
Morbidity
Groups
N = 363
Town
Source
<1
1–4
5–9
10–14
15–19
20–24
25–34
35–64
65+
Age group
(years)
10
39
65
69
89
1000
85
80
73
M
50
33
77
86
86
1000
96
90
79
F
Prevalence (%)
Age 10–14 years = 50% of spleen
and heaviest infections
Results
Lehman et al. (1976)
Kloetzel (1962)
Reference
S. mansoni empirical databases by region, Latin America and the Caribbean
M = males, F = females
Location
Date
Table 12.6
Kato technique used
First study of its kind Limited to
children
Comments
366
Global Epidemiology of Infectious Diseases
Schistosomiasis
367
Middle Eastern Crescent
S. haematobium is endemic in 15 countries in this region and S. mansoni
is present in 7 of these countries. Some distributions of prevalence by age
and sex are shown in Tables 12.7 and 12.8.
Mortality from schistosomiasis
Mortality from schistosomiasis has been poorly documented in most
endemic countries. Death certificates and patients’ records rarely identify
schistosomiasis as the underlying cause of death. Well-designed prospective
autopsy studies have nevertheless been published (Cheever et al. 1978). In
that study, schistosomiasis was the direct cause of death in 9.2 per cent of
the infected individuals and was the attributable cause of death in 6.2 per
cent of all deaths. The breakdown of these causes among those infected is
shown in Table 12.9. Table 12.10 summarizes the results of available mortality studies by World Bank region; these results are discussed below.
Sub-Saharan Africa
Annual mortality attributable to S. haematobium infection in East Africa
has been estimated at 1–2 per 1000 infected adults (Forsyth 1969). In Chad,
in 1966, the mortality rate of schistosomiasis attributable to S. haematobium infection was 1 per 1000 infected persons (Buck et al. 1970).
Latin American and the Caribbean
In 1984, the annual mortality attributable to schistosomiasis caused by
S. mansoni in Brazil was estimated at 0.5 per 100 000 total population;
at the same time in Suriname the figure was estimated to be 2.4 per
100 000 inhabitants. The control of schistosomiasis through large-scale
chemotherapy in Brazil was associated with a decline in annual mortality
between 1977 and 1988, from 0.67 to 0.44 deaths per 100 000 inhabitants. S. intercalatum infection has never been reported as a cause of death
in the region.
China
Before the introduction of praziquantel in China, severe acute schistosomiasis attributable to S. japonicum had a 2.5–20.7 per cent mortality rate,
and in Leyte, the Philippines, the annual mortality among 135 untreated
patients with severe schistosomiasis was 1.8 per cent (Blas et al. 1986). It
is expected that the more widespread use of current antischistosomal drugs
for morbidity control in highly endemic areas will also reduce mortality.
The national survey by the Ministry of Health of China appears to
confirm the total annual mortality rate. A total of 982 severe cases were
detected among 165 384 people examined; (16 953 people in the sample
cohort were infected). If it is assumed that only infected people had severe
disease, the rate of severe cases was 5.79 per cent. This is probably not
reasonable since many advanced cases do not excrete eggs. The peak mor-
Egypt
Egypt
1981
1982
37
29
Prevalence (%)
Morbidity
6 villages
N = 5 998
2 villages
N = 2403
Source
<1
1–4
5–9
10–14
15–19
20–24
25–29
30–39
40–49
50–59
60+
F
20
18
36
43
18
15
9
5
7
5
12
M
20
57
75
66
41
42
43
42
40
32
Age group
(years)
1–4
5–9
10–14
15–19
20–24
25–29
30–39
40–49
50–59
60+
21
41
49
35
21
17
11
12
13
13
F
Prevalence (%)
M
18
19
55
75
54
30
35
27
30
26
24
Age group
(years)
Prevalence (%)
(estimated)
Results
S. haematobium empirical databases by region, Middle Eastern Crescent
M = males, F = females
Location
Date
Table 12.7
King et al. (1982)
Mansour et al. (1981)
Reference
Comments
368
Global Epidemiology of Infectious Diseases
S. mansoni: 40.5
4
10
23
6
17
6
N = 8712
25% sample
in 8 villages
Village
N = 1747
2–5
6–10
11–15
16–20
21–30
31+
Age group
(years)
5–9
10–19
20–29
30–39
40–49
50+
Age group
(years)
Egypt
9
22
29
20
17
8
Infected
(%)
Not
infected
(%)
1977
1–4
5–9
10–14
15–19
20–39
40+
Age group
(years)
Spleen
Source
Sudan
1976
Morbidity
Prevalence
Location
Date
48
S.mansoni empirical databases by region, Middle Eastern Crescent
Table 12.8
F
24
80
50
45
22
15
15
33
50
40
25
18
Prevalence (%)
(estimated from
graph)
24
80
60
55
40
50
M
Prevalence (%)
Results
El-Alamy & Cline (1977)
Omer et al. (1976)
Reference
continued
Comments
Schistosomiasis
369
M = males, F = females
74
Egypt
M
134
204
331
165
233
194
194
83
Age group
(years)
1–4
5–9
10–19
20–29
30–39
40–49
50–59
60+
95
67
213
199
151
109
112
100
F
Intensity (geometric mean
no. eggs/gram)
Village
N = 537
M
25
71
89
80
86
80
75
50
Age group
(years)
1–4
5–9
10–19
20–29
30–39
40–49
50–59
60+
33
57
81
71
78
56
55
50
F
Prevalence (%)
Results
1980
Source
Prevalence
Location
Date
Morbidity
S.mansoni empirical databases by region, Middle Eastern Crescent (continued)
Table 12.8
Abdel-Wahab et al.
(1980)
Reference
Comments
370
Global Epidemiology of Infectious Diseases
Schistosomiasis
Table 12.9
371
Causes of death related to schistosomiasis
Attributed cause of death
Percentage of deaths
Mean age (years)
Obstructive uropathy
Bladder cancer
Symmer’s fibrosis
Colonic polyposis
Salmonellosis
2.5
2.4
3.1
0.8
0.4
42
38
30
35
—
Total deaths in infected persons
9.2
Source: Cheever et al. (1978).
tality was in the 45–59 year age group. Overall mortality rates were 29 per
million population for males and 21 per million population for females.
The most recent data on mortality from to schistosomiasis have been
produced by a study of 65 Chinese counties (Junshi et al. 1990). Schistosomiasis ranked as the most significant cause of death resulting from
colorectal, rectal and colon cancer. Only 20 of these counties were currently
endemic for schistosomiasis. The cumulative mortality rate attributable to
schistosomiasis for both sexes was as high as 38.99 per 1000 deaths.
S. japonicum is possibly carcinogenic in humans, causing colorectal
carcinoma. The cumulative data from China support this conclusion; see
also the comprehensive review by the International Agency for Research
on Cancer (1994).
Other Asia and Islands
One in 20 deaths in the Khong district of the Lao People’s Democratic
Republic were attributable to schistosomiasis (S. mekongi) according to
survey data obtained in preparation for the national control programme
on opisthorchiasis and schistosomiasis (A. Sleigh, personal communication 1992).
The case fatality rate of schistosomiasis attributable to Schistosoma
japonicum infection in the Philippines is estimated to be 1.78 per cent
per year (Blas. et al 1986). The recognized number of cases in Thailand
and Malaysia is so low that neither the populations nor the populations
at risk should be included in the totals.
Middle Eastern Crescent
Mortality from schistosomiasis is the cause of 6 per cent of all deaths in
Egypt. The annual crude mortality rate is 1 per 1000 infected individuals, and is higher in men than in women. The male-to-female sex ratio
is 47.2:23.0, based on the combined raw data of King et al. (1982) and
Mansour et al. (1981).
Reference
China Ministry of Public
Health (1992)
El Malatawy et al. (1992)
Utroska et al. 1989.
Lopes (1984)
Buck et al. (1970)
Blas et al. 1986
A. Sleigh (personal communication 1992)
Region and type
China — S. japonicum only
Middle East Crescent —
S. mansoni
Middle East Crescent —
S. haematobium
Latin America & Caribbean
— S. mansoni only
Sub-Saharan Africa —
S. haematobium
Other Asian Countries
& Islands — S. japonicum
(Philippines & Indonesia)
S. mekongi (Lao PDR &
Cambodia)
Females
Males
Females
Males
Females
Males
Females
Males
Females
Males
Females
Males
Females
Males
Sex
0-14
15–65+
0–14
15–65+
0–14
15–65+
0–14
15–65+
0–14
15–65+
0–14
15–65+
0–14
15–65+
0–14
15–65+
0–14
15–65+
0–14
15–65+
0–14
15–65+
0–14
15–65+
0–14
15–65+
0–14
15–65+
Age group
(years)
117 742 000
134 580 000
116 848 000
141 104 000
80 845 000
140 766 000
78 420 000
144 264 000
106 506 000
149 883 000
101 733 000
144 953 000
106 506 000
149 883 000
101 733 000
144 953 000
157 240 000
427 959 000
148 347 000
400 147 000
Population (number)
Table 12.10 Studies of mortality rates associated with schistosomiasis, World Bank regions
50 000
75 000
50 000
75 000
151 252
208 748
99 248
140 752
27 318 640
22 082 160
21 607 502
13 872 797
1 755 725
3 244 275
1 986 486
2 913 514
2 127 152
1 719 416
1 036 544
837 858
1 550 687
3 419 463
1 347 793
2 972 057
205 427
741 240
120 073
433 260
Number of people
infected
5
25
5
25
3
55
2
39
27
2 208
21
1 000
3
64
3
62
21
1 719
10
600
1.5
34
3
30
50
530
40
380
Number of deaths per
year
372
Global Epidemiology of Infectious Diseases
Schistosomiasis
373
Disability
In a critical review, Prescott (1979) pointed out that, at that time, no clear
empirical basis had been found for the assumption that schistosomiasis seriously impairs labour productivity. He attributed this to possible
sampling bias resulting in the exclusion of workers with severe disease.
Subsequent studies have lent more support to the thesis that not only does
severe infection cause disability but infection alone limits productivity
and well-being.
In the workplace, decreased productivity has infrequently been shown
to be the result of to schistosomiasis. In contrast, increased absenteeism
has consistently been shown to be related to schistosomiasis. In irrigation
workers, who are at greatest risk, schistosomiasis infection was associated with a 3.67 per cent greater absenteeism rate than among those not
infected; in cane-cutters, schistosomiasis infection was associated with
1.64 per cent greater absenteeism (Foster 1967). These figures are based
on observation of over 28 000 consecutive work shifts and the difference
related to the irrigation workers was considered statistically significant. As
Prescott points out, the determinants of absenteeism were not analysed.
Since Prescott’s review, a substantial amount of data has been published
supporting the hypothesis that infection without clinical manifestations
causes work days lost: 26.2 to 41.6 work days lost per year as a result of
S. japonicum (Blas 1989); 4.4 work days per year as a result of S. haematobium (Ghana Health Assessment Project Team 1981, Morrow et al.
1984). Absenteeism was noted to be twice as high among labourers infected
with S. mansoni as among those uninfected (Ndamba et al. 1991); 6 working days per year were estimated to be lost due to S. mansoni infection
(Chowdhry & Levy 1988); in Madagascar 50 per cent of people reported
unable to work had evidence of urinary schistosomiasis and remained out
of work for at least 10 days (Breuil, Moyroud & Coulanges 1983). There is
a latency period of 5–15 years between infection and development of severe
disease due to S. mansoni, thus hepatosplenomegaly with portal hypertension attributable to S. mansoni occurs after age 20 years. Approximately
10 per cent of those infected will develop severe disease.
Since 1980 a number of studies have shown that schistosomiasis resulting from S. mansoni has a negative effect on productivity. A reduction of
18 per cent in the work output of those individuals with heavy infection
or hepatosplenomegaly can be expected (Awad El Karim et al. 1980).
According to a recent study, physical performance increased 4.3 per cent
after treatment, and work output (as measured by the amount of sugar
cane cut in a given time) increased 16.6 per cent (Ndamba et al. 1993).
Infected individuals without organomegaly were observed to have no
reduction of work output (Van Ee & Polderman 1984).
A minimum of 12 per cent lower exercise capacity was found in children
with S. haematobium infection in Zimbabwe (Ndamba 1986). This deficit
was recovered within one month after treatment. Similarly, in Kenya, a
374
Global Epidemiology of Infectious Diseases
7–10 per cent improvement in exercise capacity was found one month after
treatment in children with S. haematobium infection (Latham et al. 1990).
Of those with hepatosplenomegaly attributable to S. mansoni, 33 to 67
per cent have oesophageal varices (De Cock et al. 1982, Saad et al. 1991).
Of those with oesophageal varices, 3 to 4 per cent have recurrent upper
gastrointestinal bleeding. After oesophageal varices have bled once, there is
a tendency for the bleeding to recur, and 3–4 months per year will be lost
either in or out of hospital.
Disease of the central nervous system, affecting the spinal cord, is more
frequent and causes more disability than is currently recognized, especially
among migrants into endemic areas of S. mansoni transmission (World
Health Organization 1989, Joubert et al. 1990). In the Philippines, the
minimum contribution of schistosomiasis attributable to S. japonicum
to the etiology of epilepsy is 6 per 1000 of the total rate of 11 per 1000
(Hayashi 1979). Spinal cord involvement attributable to schistosomiasis
(S.
S. mansoni mostly) is the cause of 1 in 4 of all hospital admissions to the
neurological nervice of a general hospital in Durban, South Africa (Haribhai
et al. 1991).
Average disability weights for cases of schistosomiasis infection were
estimated using expert panels, person-trade off methods for 22 indicator
conditions, and rankings of other conditions (including schistosomiasis)
against the indicator conditions as described by Murray & Lopez (1996a).
The resulting average disability weights were 0.005 for children aged 0–14
years and 0.006 for adults aged 15 years and over.
Estimation of disability-adjusted life years
General methods used for the calculation of disability-adjusted life years
(DALYs) lost due to a disease are given by Murray & Lopez (1996a).
DALYs are the sum of years of life lost due to mortality (YLLs) and years
lived with disability (YLDs). The prevalence of schistosomiasis and deaths
attributable to schistosomiasis were calculated for the eight World Bank
regions, based on the data reviewed above. The resulting estimates are
shown in Tables 12.11 and 12.12 and have also been published by Murray & Lopez (1996b).
YLLs are calculated directly from the deaths shown in Tables 12.11
and 12.12 Total global deaths in 1990 resulting from schistosomiasis were
estimated to be around 8000. It must be emphasised that these are direct
schistosomiasis deaths and do not include the cancer and other disease
deaths attributable to schistosomiasis (as discussed below).
YLDs are usually calculated from regional estimates of incident cases
and average durations. However, because of the very limited information
available to estimate incidence rates for schistosomiasis from prevalence
and case fatality data, YLDs for schistosomiasis were calculated directly
from the prevalence estimates (in effect assuming a one year duration and
prevalence equal to incidence).
Schistosomiasis
375
Tables 12.11 and 12.12 also show the estimated DALYs for the eight
World Bank regions and the regional variation in DALYs per 100 000
population resulting from schistosomiasis.
Schistosomiasis as a risk factor for other diseases
Cancer
Squamous cell bladder carcinoma is the leading cause of cancer among
20–44 year old men in Egypt and is a leading cause of death in this age
group (Koroltchouk et al. 1987). El-Bolkainy & Chu (1981) estimated that
the rate of squamous cell carcinoma among people with S. haematobium
infection in Egypt is 2 per 1000 and 4 per 1000 among rural residents.
In an older study, squamous cell bladder cancer was estimated to occur
in 10 of every 1000 people infected with S. haematobium (Halawani &
Tamami 1955); 26 per cent of deaths attributable to schistosomiasis were
associated with bladder cancer in Egypt. The latency between initial infection and onset was estimated to be 20–30 years, and the male-to-female
ratio was 9.5:1.
In Angola the peak age of incidence of squamous cell carcinoma of
the bladder is 44 years of age. An incidence rate of 8 per 10 000 rural
inhabitants is suggested on the basis of epidemiological and clinical data
(Lopes 1984). In Malawi, Mozambique and Zambia, the incidence rates
of squamous cell bladder cancer are eight times as high as in the United
States of America or the United Kingdom (Lucas 1982).
It has been estimated that primary prevention to control urinary schistosomiasis would reduce the global rate of carcinoma of the bladder by
5000–10 000 cases per year (Koroltchouk et al. 1987).
Other diseases
Intestinal schistosomiasis caused by S. mansoni and S. japonicum may
complicate a variety of other diseases that increase disability.
Typhoid fever. If a person with schistosomiasis acquires typhoid fever, the
duration of the typhoid fever will increase 2–3 times the average duration and may lead to total incapacity or death in 30 per cent of untreated
persons (Salih et al. 1977).
Hepatitis B. The effect of schistosomiasis infection on concurrent hepatitis
B has been recently reviewed, and the limitations of the interpretation of
clinical and epidemiological data have been analysed (Chen et al. 1993).
There is a consensus among clinicians in the highly endemic areas of
China and Egypt that in patients with schistosomiasis the duration of
hepatitis increases up to 5 times the average, and the risk of chronic liver
disease is greater and may result in total incapacity (Ghaffar et al. 1990).
Rate per
100 000
Prevalence
Number
(thousands)
0
0
0
0
0
0
0–4
5–14
15–44
45–59
60+
All Ages
India
0–4
5–14
15–44
45–59
60+
All Ages
0
0
0
0
0
0
0
0
0
0
0
0
Formerly Socialist Economies (FSE)
0–4
5–14
15–44
45–59
60+
All Ages
—
—
—
—
—
—
—
—
—
—
—
—
—
—
—
—
—
—
Established Market Economies (EME)
Age group
(years)
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Number (thousands)
Deaths
—
—
—
—
—
—
—
—
—
—
—
—
—
—
—
—
—
—
Rate per
100 000
—
—
—
—
—
—
—
—
—
—
—
—
—
—
—
—
—
—
Number (thousands)
YLLs
Table 12.11 Epidemiological estimates for schistosomiasis,1990, males
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Rate per
100 000
YLDs
—
—
—
—
—
—
—
—
—
—
—
—
—
—
—
—
—
—
Number (thousands)
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Rate per
100 000
DALYs
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Number (thousands)
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Rate per
100 000
376
Global Epidemiology of Infectious Diseases
35
170
501
145
96
947
35
167
192
55
37
485
11 148
45 013
39 991
7652
3442
107 246
0–4
5–14
15–44
45–59
60+
All Ages
301
1 455
2 549
496
199
5 000
79
198
119
162
182
141
59
175
164
199
196
162
23 478
64 068
38 540
37 682
32 758
42 504
1 047
2 791
2 444
2 230
1 398
2 256
Latin America and the Carribean
0–4
5–14
15–44
45–59
60+
All Ages
Sub–Saharan Africa
0–4
5–14
15–44
45–59
60+
All Ages
Other Asia and Islands
0–4
5–14
15–44
45–59
60+
All Ages
China
0
0
1
1
0
2
0
0
0
0
0
0
0
0
0
0
0
1
—
0
1
3
5
1
—
—
—
0
1
0
—
—
0
0
1
0
—
—
3
1
—
5
1
12
22
8
3
47
—
—
1
2
1
4
—
—
4
4
2
11
2
3
4
2
17
21
39
29
19
0
0
1
6
5
1
0
0
1
6
4
2
1
8
22
3
1
35
24
261
348
47
14
695
—
1
2
—
—
3
—
1
4
1
—
7
3
15
21
13
7
16
51
371
335
231
133
275
0
1
1
0
0
1
0
1
1
1
0
1
1
9
25
4
1
40
25
273
371
56
18
742
0
1
3
2
1
7
0
1
9
5
3
17
3
17
24
18
7
18
continued
53
389
358
276
171
294
0
1
2
6
5
2
0
1
3
7
6
3
Schistosomiasis
377
12 149
49 852
47 271
9 135
4 089
122 495
630
3 048
4 038
786
315
8 817
3 781
9 044
3 782
2 924
1 868
4 616
1 531
4 664
3 545
3 519
2 308
3 439
Deaths
1
2
1
1
5
1
1
Number (thousands)
1
2
2
1
Rate per
100 000
YLLs
1
19
46
21
10
97
—
7
15
6
2
30
Number (thousands)
YLLs, years of life lost;YLDs, years lived with disability; DALYs, disability-adjusted life years.
0–4
5–14
15–44
45–59
60+
All Ages
World
0–4
5–14
15–44
45–59
60+
All Ages
Rate per
100 000
Prevalence
Number
(thousands)
Middle Eastern Crescent
Age group
(years)
3
4
7
5
4
11
13
27
15
12
Rate per
100 000
Table 12.11 Epidemiological estimates for schistosomiasis,1990, males (continued)
YLDs
26
289
412
56
17
800
1
18
35
5
1
60
Number (thousands)
8
52
33
18
8
30
2
28
31
22
7
23
Rate per
100 000
DALYs
28
308
458
77
27
898
2
25
50
10
4
91
Number (thousands)
9
56
37
25
12
34
5
38
44
45
29
35
Rate per
100 000
378
Global Epidemiology of Infectious Diseases
Schistosomiasis
379
Furthermore, there is a decreased response to hepatitis B vaccine (Bassily
et al. 1987, Ghaffar et al. 1990).
Rift Valley Fever. During epidemics of Rift Valley Fever in Egypt and East
Africa, it has been hypothesized that persons with intestinal schistosomiasis
had a high mortality rate due to liver failure (WHO Regional Office for
the Eastern Mediterranean 1983). The haemorrhagic form may occur in
up to 6 per cent of patients and the mortality rate of this form of RVF is
about 30 per cent.
Economic Burden and intervention
The economic constraints in developing countries where schistosomiasis
is endemic require careful analysis and review to assess the feasibility of
control with limited resources. The cost of disease and the price of health
have been a focus of attention of the World Health Organization since its
inception (Winslow 1951).
Economic costs
The economic costs of schistosomiasis are substantial. In 1953 schistosomiasis was estimated to cost Egypt about U$57 million dollars and to
decrease productivity by 33 per cent (Wright & Dobrovolny 1953). The
projected savings to be made by eradicating schistosomiasis from Japan
was estimated in 1952 to be US$3 million per year (Hunter et al. 1952).
In Fukuoka and Saga prefectures alone there were 28 617 infected people
representing 24 213 520 man-hours lost per year and wages lost per year
equivalent to US$2 522 200, while the estimated cost of treatment of
infected invividuals per year was U$177 938 (U$6.22 per person).
Audibert (1986) estimated that, in the rice irrigation projects of north
Cameroon, a 10 per cent increase in the prevalence of schistosomiasis
resulted in a 4.9 per cent decrease in rice output.
Estimation of costs of interventions
An estimation of the cost of different interventions is the first step in a
cost-effectiveness analysis of control strategy options. In a strategy aimed
primarily at morbidity control, the main elements are chemotherapy and
health education. The simplest item to estimate is the actual cost of the
antischistosomal drugs, but the cost of central and peripheral storage,
transport to distribution centres, and administrative support must also
be considered.
After choosing the most appropriate drug and establishing a dosage
schedule, the next cost is that of delivery. This will reflect the choice of
drug and the dosage schedule. Cost calculations must also include the
requirements for diagnosis. Selective diagnosis of S. haematobium infection using questionnaires or chemical-reagent strips costs relatively little
compared with the high cost of stool examination to detect S. mansoni
Number
(thousands)
Rate per
100 000
0
0
0
0
0
0
0–4
5–14
15–44
45–59
60+
All ages
India
0–4
5–14
15–44
45–59
60+
All Aaes
0
0
0
0
0
0
0
0
0
0
0
0
Formerly Socialist Economies
0–4
5–14
15–44
45–59
60+
All ages
—
—
—
—
—
—
—
—
—
—
—
—
—
—
—
—
—
—
Established Market Economies (EME)
Age group
(years)
Prevalence
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Number (thousands)
Deaths
—
—
—
—
—
—
—
—
—
—
—
—
—
—
—
—
—
—
Rate per
100 000
—
—
—
—
—
—
—
—
—
—
—
—
—
—
—
—
—
—
Number (thousands)
YLLs
Table 12.12 Epidemiological estimates for schistosomiasis,1990, females
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Rate per
100 000
—
—
—
—
—
—
—
—
—
—
—
—
—
—
—
—
—
—
Number (thousands)
YLDs
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Rate per
100 000
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Number (thousands)
DALYs
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Rate per
100 000
380
Global Epidemiology of Infectious Diseases
21
99
293
84
56
553
26
124
146
42
28
365
7 512
30 330
28 124
5 382
2 421
73 769
0–4
5–14
15–44
45–59
60+
All ages
340
1 646
2 289
446
179
4 900
61
154
91
120
12
107
36
110
103
131
108
101
15 972
43 442
26 468
24 333
19 017
28 598
1 230
3 244
2 199
1 908
1 062
2 200
Latin America and the Caribbean
0–4
5–14
15–44
45–59
60+
All ages
Sub–Saharan Africa
0–4
5–14
15–44
45–59
60+
All ages
Other Asia and Islands
0–4
5–14
15–44
45–59
60+
All ages
China
0
0
0
0
0
1
0
0
1
0
0
1
0
0
0
0
0
1
0
0
0
0
0
1
—
—
0
0
0
0
—
0
1
1
2
1
—
—
—
0
1
0
—
—
—
0
1
0
—
—
3
1
—
5
—
8
19
4
1
33
—
—
—
1
—
1
—
—
1
2
2
5
0
0
3
4
0
2
0
12
18
18
8
13
0
0
0
3
0
0
0
0
0
3
4
1
1
10
20
3
1
34
16
176
245
33
10
480
—
1
1
—
—
2
—
1
3
1
—
4
4
20
19
13
6
15
34
252
231
149
79
186
0
1
1
0
0
1
0
1
1
2
0
1
1
10
22
4
1
38
17
184
264
37
11
513
0
1
2
1
1
5
0
1
4
3
2
9
4
20
21
17
6
17
continued
36
264
248
167
86
199
0
1
1
3
4
1
0
1
1
5
4
2
Schistosomiasis
381
Number
(thousands)
8 307
34 175
33 846
6 537
2 917
85 781
408
1 976
2 994
584
234
6 194
2 686
6 503
2 824
2 101
1 084
3 282
1 028
3 187
2 792
2 614
1 512
2 511
Rate per
100 000
0
0
1
1
1
3
0
0
0
0
0
1
Number (thousands)
Deaths
0
0
0
0
0
0
—
—
0
1
1
0
Rate per
100 000
YLLs
0
9
33
11
6
58
—
—
10
2
1
13
Number (thousands)
YLLs, years of life lost;YLDs, years lived with disability; DALYs, disability-adjusted life years.
0–4
5–14
15–44
45–59
60+
All ages
World
0–4
5–14
15–44
45–59
60+
All ages
Middle Eastern Crescent
Age group
(years)
Prevalence
0
2
3
4
2
2
0
0
9
9
7
5
Rate per
100 000
Table 12.12 Epidemiological estimates for schistosomiasis,1990, females (continued)
18
198
295
40
12
563
1
11
26
4
1
43
Number (thousands)
YLDs
6
38
25
13
4
22
3
18
24
18
6
17
Rate per
100 000
19
207
328
51
17
622
1
11
36
6
2
56
Number (thousands)
DALYs
6
39
27
16
6
24
3
18
34
27
13
23
Rate per
100 000
382
Global Epidemiology of Infectious Diseases
Schistosomiasis
383
infection. The cost of large-scale chemotherapy will be affected by the
method of identifying communities for treatment.
Cost calculations frequently omit the cost of employing the necessary
personnel. The cost of equipment, particularly vehicles, usually appears in
the accounting, but the cost of offices and laboratories is rarely considered,
nor is the depreciation of these capital assets. In a strategy that aims at
morbidity control and the reduction of transmission, the additional costs
of, for example, mollusciciding and environmental management must be
considered.
The cost of mollusciciding includes the purchase of molluscicides and
the cost of their application (e.g. transportation, storage, administration,
equipment and personnel). The cost of environmental management includes
capital investments in engineering and equipment and recurrent operational
costs (e.g. personnel and materials). Since the cost estimates above are
intended to allow comparison, a uniform method of cost calculation must
be used so that costs can be adjusted to reflect local variation.
The costs of control
Studies on the costs of control programmes based on chemotherapy were
evaluated by the World Health Organization Expert Committee (WHO
1993), which noted the inadequacy of the available data. Costs estimated
in studies ranged from US$0.70 to US$3.10 per person, but development
costs, salaries, and the cost of failure were often excluded.
The government health allocations for schistosomiasis control were last
reviewed in 1976 (Iarotski & Davis 1981). Nineteen endemic countries
responded to a World Health Organization questionnaire regarding: (1)
the total health budget in US dollars and its proportion of the total national
budget and (2) the allocation for schistosomiasis control in US dollars and as
a proportion of the health budget. In those countries responding, between 2
per cent (Saudi Arabia) and 18 per cent (Dominican Republic) of the national
budget was allocated to health and between 0.002 per cent (Indonesia) to
2.8 per cent (Saint Lucia) of the health budget was directly allocated to
schistosomiasis control. Current expenditures for schistosomiasis control
are not available.
Some hypothetical projections have been made based on pilot projects.
The cheapest regimen using praziquantel involved existing health services in
areas of low endemicity. When specialized programmes were required, costs
varied from US$1.50 to US$6.53 per person per year. Costs per infected
person treated were inevitably higher, with a minimum cost of US$3.00 for
the specialized programmes.
When the annual per capita expenditure on all forms of primary health
care is only between US$1 and US$4 in many endemic countries, most
cannot afford vertical programmes, except perhaps in small areas. Drugs
account for a relatively low proportion of total delivery costs in vertical
programmes. On the other hand, their cost is more prominent and may
be the major expenditure in programmes integrated into primary health
384
Global Epidemiology of Infectious Diseases
care. A reduction in the price of praziquantel could significantly reduce
the cost of such programmes.
The cost of identifying communities with a high prevalence of S. haematobium infection can be substantially reduced by using questionnaires and
reagent strips. Chemotherapy targeted at schoolchildren will also reduce
the costs of control, and in most communities will reach the groups with
the highest prevalence and severity of infection. Increasing the interval
between treatments will also reduce costs, but this has to be balanced
against a reduced impact on morbidity. Further studies are needed on ways
of reducing the cost of identifying communities for treatment (especially
for S. mansoni infection) and the cost of drug delivery.
Estimation of effectiveness
Effectiveness has been estimated in terms of coverage (number of people
receiving treatment per number of people infected or at risk) or cure (coverage per drug efficacy). This allows estimation of the cheapest approach
to delivering treatment, which is not necessarily the same as the most
cost-effective approach to reducing disease.
For a better assessment of effectiveness, more information is required
on the morbidity attributable to schistosomiasis at the community level,
the relationship between this morbidity and the prevalence and intensity of
infection, and the relationship between morbidity and disease predisposition. This approach may require modelling the dynamics of transmission
and morbidity, and the impact of control, in similar ways to methods
developed for other helminthic infections.
Indirect costs
In assessing indirect costs of the disease, a distinction is traditionally made
between the cost of health care for infected people and the cost of reduced
economic productivity as a result of the disease. Little is known about the
health-seeking behaviour of people suffering from schistosomiasis and
the direct cost incurred by the health system; more research is needed in
this area.
Given levels of prevalence and intensity of infection can be associated
with very different levels of clinical disease both between and within countries. Economic estimates show similar variations in the indirect cost of
the disease. These inconsistencies do not imply that schistosomiasis has
no demonstrable economic impact, but rather that the indirect costs might
be considerable in certain circumstances, as in areas where the prevalence
of clinical disease is high or in communities that have recognized schistosomiasis as a significant health problem. In the assessment of indirect
costs, rural household income should be the focus of analysis rather than
the wages of individual workers.
The long-term economic consequences of the disease should also be
explored. S. haematobium infection can be associated with malnutrition
and stunting of growth in children. There is a positive correlation between
Schistosomiasis
385
education and productivity, and if schistosomiasis inhibits educational
achievement it could also eventually affect production.
Discussion and conclusions
This chapter has documented the data and methods used to estimate the
global burden of schistosomiasis in 1990. The paucity of epidemiological
data, particularly on the sequelae and consequences of schistosomiasis
infection, have inevitably required that a very simplified disease model
be used for the estimations. Ideally, a number of other factors should
be considered in the calculation of the burden of disease attributable to
schistosomiasis.
Multiple schistosoma infections
In 35 sub-Saharan countries and in 6 countries of the Middle Eastern
Crescent, both S. mansoni and S. haematobium are present and overlap
in some areas. The age and sex distribution is similar to that of each infection alone (Saladin et al. 1983, Granier et al. 1985, Kazura et al. 1985, El
Malatawy et al. 1992). The only study to analyse the interaction between
the two infections in the same individuals nevertheless showed that the
intensity of S. haematobium infection is greater in those with concomitant
S. mansoni infection than in those with S. haematobium alone; the converse
was not observed (Robert, Bouvier & Rougemont 1989).
Multiple parasitic infections
Schistosomiasis may be only one of multiple parasitic infections in the same
individual. Various intestinal helminthic infections have been associated
with S. mansoni infection (Lehman et al. 1976)
Polyparasitism is the rule rather than the exception in most developing
countries. Its occurrence is, however, focal and wide variations are present within any country (Bundy et al. 1991). Estimating the proportional
contribution of each of multiple infections to the burden of disease has
not been attempted.
Reinfection
In endemic areas re-exposure to infection is constant or seasonal and is
proportional to the overall prevalence, i.e. high prevalence is associated
with high rates of reinfection. In assessing the burden of schistosomiasis,
the risk of reinfection should be considered.
It is hoped that future revised estimates of the global burden of disease
for schistosomiasis will be able to take into account improved epidemiological information on the incidence, prevalence, sequelae and case fatality
of the various types of schistosomiasis infection, and that control efforts
will have resulted in reductions in the prevalence of this disease in most
regions.
386
Global Epidemiology of Infectious Diseases
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