Infected and Imprisoned: Tuberculosis in a Siberian Jail
... A Napoleonic-era building that is Moscow's tuberculosis (TB) research hospital and the home of the Research Institute for Phthisiopulmonology (tuberculosis study). Since the 1990s, Russia has struggled to deal with a epidemic of TB, an infectious disease of the respiratory tract that can spread to o ...
... A Napoleonic-era building that is Moscow's tuberculosis (TB) research hospital and the home of the Research Institute for Phthisiopulmonology (tuberculosis study). Since the 1990s, Russia has struggled to deal with a epidemic of TB, an infectious disease of the respiratory tract that can spread to o ...
Infectious Disease Issues Associated with Hurricane Katrina (HK)
... To reduce likelihood of outbreaks of vaccinepreventable diseases in the large, crowded group settings ...
... To reduce likelihood of outbreaks of vaccinepreventable diseases in the large, crowded group settings ...
Tuberculosis
... TB R/ in the antibiotic era. Role of chemotherapy: permanent cure without development of resistance Lack of success herein due to various factors: - Improper use of antibiotics - Increased transmission - Priority of disease control less imminent Risk -> outbreak ...
... TB R/ in the antibiotic era. Role of chemotherapy: permanent cure without development of resistance Lack of success herein due to various factors: - Improper use of antibiotics - Increased transmission - Priority of disease control less imminent Risk -> outbreak ...
Epidemiology - Ch 20 - Clayton State University
... Morbidity rate: illness divided by population at risk Mortality rate: dies from disease Incidence: new cases per specific time period Prevalence: total number of existing cases Endemic: Diseases that are constantly present Epidemic: Unusually large number of cases in a population When epidemics sp ...
... Morbidity rate: illness divided by population at risk Mortality rate: dies from disease Incidence: new cases per specific time period Prevalence: total number of existing cases Endemic: Diseases that are constantly present Epidemic: Unusually large number of cases in a population When epidemics sp ...
chapter20
... Used to judge the cause and effect relationship of risk factors or preventative factors and disease development Done most frequently to determine effectiveness of prevention or treatment ...
... Used to judge the cause and effect relationship of risk factors or preventative factors and disease development Done most frequently to determine effectiveness of prevention or treatment ...
General Infectious Diseases
... Red Flags: Please call ID Clinic if you have specific concerns or question about urgency Include: 1. Patient information that is pertinent to the referral. (Additional patient information that is not essential - should be submitted only if already part of the patient’s record.) a. Past history/ acti ...
... Red Flags: Please call ID Clinic if you have specific concerns or question about urgency Include: 1. Patient information that is pertinent to the referral. (Additional patient information that is not essential - should be submitted only if already part of the patient’s record.) a. Past history/ acti ...
Epidemiology of Infectious Disease
... New diseases have emerged in the past few decades such as AIDS, Hepatitis C and E, hantavirus, Lyme disease, Legionnaire’s disease, toxic shock E. coli 0157:H7, cryptosporidiosis and others Systematic epidemiology focuses on the ecological and social factors that influence the development, emer ...
... New diseases have emerged in the past few decades such as AIDS, Hepatitis C and E, hantavirus, Lyme disease, Legionnaire’s disease, toxic shock E. coli 0157:H7, cryptosporidiosis and others Systematic epidemiology focuses on the ecological and social factors that influence the development, emer ...
Modeling 101. Different Types of Models Designed for Different Uses
... Agent-based models (ABMs) are also dynamic models that simulate the behavior of a system over time. However, they take a bottom-up, or individual-level, approach, specifying the rules that govern the behavior of individuals and allowing the overall behavior of the system to emerge from the interacti ...
... Agent-based models (ABMs) are also dynamic models that simulate the behavior of a system over time. However, they take a bottom-up, or individual-level, approach, specifying the rules that govern the behavior of individuals and allowing the overall behavior of the system to emerge from the interacti ...
The University of Texas at Brownsville & Department of Mathematics
... highly interconnected world, epidemic outbreaks become instant potential health and/or economic global threats with increasing segments of the population playing active roles on the transmission patterns of infectious diseases like influenza. Despite the myriad of complexities associated with diseas ...
... highly interconnected world, epidemic outbreaks become instant potential health and/or economic global threats with increasing segments of the population playing active roles on the transmission patterns of infectious diseases like influenza. Despite the myriad of complexities associated with diseas ...
Compartmental models in epidemiology
The establishment and spread of infectious diseases is a complex phenomenon with many interacting factors, e.g., the environment in which the pathogen and hosts are situated, the population(s) it is exposed to, and the intra- and inter-dynamics of the population it is exposed to. The role of mathematical epidemiology is to model the establishment and spread of pathogens. A predominant method of doing so, is to use the notion of abstracting the population into compartments under certain assumptions, which represent their health status with respect to the pathogen in the system. One of the cornerstone works to achieve success in this method was done by Kermack and McKendrick in the early 1900s.These models are known as compartmental models in epidemiology, and serve as a base mathematical framework for understanding the complex dynamics of these systems, which hope to model the main characteristics of the system. These compartments, in the simplest case, can stratify the population into two health states: susceptible to the infection of the pathogen (often denoted by S); and infected by the pathogen (given the symbol I). The way that these compartments interact is often based upon phenomenological assumptions, and the model is built up from there. These models are usually investigated through ordinary differential equations (which are deterministic), but can also be viewed in more realistic stochastic framework (for example, the Gillespie model). To push these basic models to further realism, other compartments are often included, most notably the recovered/removed/immune compartment (denoted R).Once one is able to model an infectious pathogen with compartmental models, one can predict the various properties of the pathogen spread, for example the prevalence (total number of infected from the epidemic) and the duration of the epidemic. Also, one can understand how different situations may affect the outcome of the epidemic, e.g., what is the best technique for issuing a limited number of vaccines in a given population?