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Borderline: Cross-border Mobility and its Link to Transmission of HIV, Syphilis and TB in the Mexico-US Border Region Steffanie A. Strathdee, Ph.D. Associate Dean of Global Health Sciences, Harold Simon Professor; Chief, Division of Global Public Health, Department of Medicine, University of California, San Diego [email protected] Overview • Unique features about the context of HIV risks along the Mexico/U.S. border • Recent border studies – HIV – Syphilis – TB • Influencing policy MEXICO U.S. U.S. MEXICO What makes the Mexico-US border region different? • Volume of cross-border traffic ~60 million crossings per year • Major drug trafficking route • Sex work is quasi-legal • Main corridor for migration fueled by huge economic disparities >>Confluence of risk factors for infectious diseases (e.g. HIV, STIs, TB) Major US Drug Trafficking Routes Major U.S. Drug Trafficking Routes Tijuana Cd. Juarez Source: National Drug Intelligence Center, National Drug Threat Assessment 2006 Tijuana has one of the fastest growing populations of injection drug users (IDUs) in Mexico, with ~21,000 drug users, and ~10,000 IDUs Most frequent drug injection sites in Tijuana (n=995) Place of Birth among Tijuana’s Injection Drug Users 2/3rds born Outside of Baja California Number of subjects HIV and Migration: What is the link? • Family separation, changes in cultural environment, homelessness, poverty, social isolation, greater sense of anonymity (Deren, 2003; Lagarde, 2003; Organista et al, 2004; Parrado, 2004) • Mobility can increase the chance of encountering HIVpositive persons (Kottiri et al, 2002) • Mobile persons can act as bridge populations between groups that normally wouldn’t interact (Paschane, 2000) • Mobility can change sexual networks in the sending or receiving community (Aral, 2007) San Diego Tribune, Reuters, CNN, March 1, 2006 Tijuana ADAPTED FROM: Report on the Global AIDS Epidemic, UNAIDS, 2008 Reasons for moving to Tijuana, by gender Gender Male Female 60 55 50 45 40 % 35 30 25 20 15 10 5 0 Deportation Economic Opportunities Note: 15 males and 7 females listed other reasons. Family Moved Intended to Born in the Area Here Cross the Border to U.S. Factors Independently Associated with HIV infection by Gender Variable Age # of arrests for track marks (per 5 arrests) Syphilis # of different people usually injects with* (per 5 people) Number of years lived in Tijuana (per 10 year increase) Deportation Adjusted Odds Ratio (Females) Adjusted Odds Ratio (Males) 0.84 -- -- 1.1 4.8 6.2 -- 1.3 1.9 -- -- 4.0 All p<0.05 Explanation #1: Is Deportation a marker for a high risk subgroup of male IDUs who acquired HIV in the US? Courtesy of La Frontera, 2008 Explanation #2: Is Deportation a Risk Factor for HIV Acquisition? All photos shared with permission Impact of deportation on families Prevalence HIV Prevalence and Incidence among IDUs in Tijuana: 2006-2008 HIV Prevalence Sex Work in Mexico • Quasi legal in Mexico – Zone of tolerance (zona roja) – Work permit • Up to 9000 FSWs in Tijuana, ~4000 in Ciudad Juarez • Many women/girls from S. Mexico/Central America • ‘Sex tourism’ is common Sex work in the Mexico-US Border Region • 70% of FSWs in Tijuana and Cd. Juarez are migrants • Migrant FSWs have: – Lower HIV and STI prevalence – Less drug use – More condom use Over time, protective factors associated with being a migrant appear to erode Ojeda et al, Sex Transm Infect 2009 Factors associated with HIV infection in FSWs in Tijuana and Ciudad Juarez (n=924) Baseline Characteristics Adjusted Odds Ratio, 95% CI Injected cocaine past month 2.96 (1.29, 6.80) Smoked, inhaled, or snorted methamphetamine past month 3.32 (1.85, 5.95) Syphilis titer >1:8 * 4.16 (2.28, 7.59) HIV prevalence: 6% * Consistent with active infection Patterson et al, J Inf Dis (2008) Male Clients of FSWs in Tijuana and Ciudad Juarez • 70% of FSWs have U.S. clients • FSWs with U.S. clients more likely to have: – Syphilis titers ≥ 1:8 – Injected drugs – High client volumes – Been paid more for unprotected sex Strathdee et al, Sex Trans Dis 2008 Prevalence Prevalence of HIV testing and HIV/STIs among Mexican (N=200) and U.S. clients (N=200) of Tijuana FSWs Patterson et al, AIDS 2009 Factors Independently Associated with HIV Infection among Male Clients of FSWs in Tijuana, Mexico (N=400) Adjusted Odds Ratio 95% Confidence Interval Resides in Mexico (vs. United States) 2.26 0.91–5.58 Lives alone 2.88 1.23–6.71 Ever used methamphetamine 4.34 1.31–14.36 Tested positive for syphilis 9.36 2.41–36.42 Variable Patterson et al, AIDS 2009 HIV Syphilis Incidence on the U.S.-Mexico Border (Per 100,000) United States National syphilis incidence: 4.5 (2008) 5.7 CA AZ NM TX 7.4 San Diego (increased from 3.8 to 11.8 from 2003 to 2007) B.C. 3.8 SON CHI COH NL Mexico National Syphilis Incidence: 1.2 (2007) Sources: CONASIDA, US Centers for Disease Control, SD County Health Dept TAM California – Primary and Secondary Syphilis Rates by County, 2008 Source: California Department of Public Health, STD Control Branch Mexico Prevalence of HIV and lifetime syphilis infection among high risk groups in Tijuana and Cd. Juarez (2004-2009) Proportion of Lifetime Syphilis Infections with current titers > 1:8* by Risk Group in Tijuana and Cd. Juarez *Consistent with active infection Tijuana ADAPTED FROM: Report on the Global AIDS Epidemic, UNAIDS, 2008 HIV TB - The forgotten epidemic TB Incidence on the U.S.-Mexico Border United States National TB Incidence: 4.4 CA 7.5 AZ NM 4.8 2.6 TX 57.3 San Diego (9.0) B.C. 25.4 6.3 18.7 SON CHI 11.7 COH 21.9 NL 31.1 Mexico National TB Incidence: 15.7 TAM Source: CDC, USA ,2007 & DGE Mexico, 2004. Incidence per 100,000 population HIV and TB Co-infection: What’s the link? • Of ~42 million people with HIV worldwide, one third also have TB. • Among HIV+ people, risk of progressing from latent to active TB is 10% per year. Trends in HIV-TB Co-infection in San Diego by Ethnicity (1993-2007) 100% 90% 80% 70% 60% 42% 82% Hispanic White 50% Black 40% Asian/Pac. Islander 30% American Indian 20% 10% 0% 1994 2007 Rodwell et al, AJPH 2010 Factors independently associated with HIV-TB co-infection in San Diego (1999-2007)* Adjusted* Odds Ratio 95% Confidence Interval 3.23 2.11 - 4.95 Male sex 2.86 1.97 - 4.14 Hispanic ethnicity 3.90 2.79 - 5.45 Ever injected drugs 2.30 1.19 – 4.43 Characteristic Age in years** 30-39 years *Odds ratios are adjusted for all other variables in the table. **reference group: 20-29 years Rodwell et al, AJPH 2010 Prevalence Prevalence of Latent TB Infection (LTBI)* among High Risk Populations in Tijuana, Mexico *Tested through IGRA (Quantiferon Gold), Cellestis Inc; IDUs=injection drug users; FSWs= female sex workers. Garfein et al, Emerg Inf Dis (in press) Factors associated with tuberculosis infection among high risk groups for HIV in Tijuana: 2007 Characteristic Adjusted* Odds Ratio (95% Confidence Interval) Age in years 1.03 per yr (1.01 – 1.05) Years lived in Tijuana 1.02 per yr (1.01 – 1.04) Location of incarceration Never jailed 1.00 Jailed in US only 1.61 (0.98 – 2.63) Jailed in Mexico, or BOTH 2.28 (1.48 – 3.51) US and Mexico * Odds ratios are adjusted for all other variables in the table. Garfein et al, in press Prevalence Characteristics of Active TB Cases among IDUs in Tijuana (n=103/1060) Deiss et al, AJPH 2009 Influencing Policy The Prevemovihl • Donated a mobile vehicle for HIV prevention to our partner NGO which became the prototype for HIV service delivery across Mexico 2010: Mexico to receive $76 M USD for HIV Prevention Lessons Learned The Mexico-U.S. border region is vulnerable to epidemics of HIV, syphilis and TB Cross-border infectious disease transmission is bi-directional, and depends on factors such as: Host Agent Environment (physical, social, economic, policy) Implications Mobility can confer either protection or risk shaping an individual’s risk of infection. Immigration policies and health policies should not work at odds. Discrimination and blame represent significant barriers to prevention and treatment of mobile populations in border regions. Prevention and treatment for overlapping epidemics requires binational cooperation Acknowledgements • UCSD Center for AIDS Research , USAID • National Institutes of Drug Abuse and Mental Health: K01 DA020364, R01 DA019829, RO1 MH065849 ; T32 DA023356 • Staff from the PrevenCasa, A. C., Patronato ProCOMUSIDA, UCSD, and Programa Companeros • San Diego County Public Health Dept • Most importantly, the participants who gave their time