THE EFFECT OF GEOGRAPHY ON SEXUALLY TRANSMITTED

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1 THE EFFECT OF GEOGRAPHY ON SEXUALLY TRANSMITTED INFECTIONS Tommi L. Gaines, Dr.P.H. University of California, San Diego Division of Global Public Health Geospatial Frontiers in Health and Social Environments July 27-28, 2012

2 Spatial Context of Sexually Transmitted Infections What is the role of space in shaping epidemics among high risk populations? Sex work spatially concentrated in certain neighborhoods (or red light districts)

3 Overview Goal: Describe the application of a GIS model that examined the role of geography on sexually transmitted infections among sex workers enrolled in an epidemiological study occurring in Tijuana, Mexico Challenge: How to capture enough spatial variation when examining a small area covering a few street blocks?

4 The Role of Space in Shaping Epidemics Distribution of Sexually Transmitted Diseases and Risk Factors by Work Locations Among Female Sex Workers in Tijuana, Mexico. Rusch, Melanie; Brouwer, Kimberly; Lozada, Remedios; Strathdee, Steffanie; Magis Rodriguez, Carlos; MD, PhD; Patterson, Thomas Sexually Transmitted Diseases. 37(10): , October Figure 1. Distribution of venues, sexually transmitted diseases (STD) prevalence by census tract, and density per 100 meters squared (inset) of STDs in the Zona Roja. Copyright 2010 American Sexually Transmitted Diseases Association. Published by Lippincott Williams & Wilkins, Inc. 2

5 Tijuana s Red Light District Sex work is quasi-legal and confined to specific neighborhoods designated as Zones of Tolerance Approximately 9,000 FSWs operate from a mixture of bars, nightclubs, hotels, and street corners Tijuana s red light district or Zona Roja covers Tijuana s red light district or Zona Roja covers approximately 2.9 square kilometers

6 Limitations with Identifying Geographic Hotspots t for STIs Rusch et al. found one area with prevalence higher than would be expected if HIV/STIs were randomly distributed FSWs often work within a very short distance of one another (sometimes shoulder-to-shoulder). Difficult to identify geographic clusters of STIs within a short distance as these are more often found in large areas such as cities, counties, census tracts, or postal areas

7 Does location of sex work effect likelihood lih of STIs? Hypothesis: There will be a decrease in the odds of HIV/STIs among FSWs working closer to the main sex strip, covering one-block street in the Zona Roja, where sex work is more commercialized and visible to authorities

8 Geographic Data FSWs identified workplace where traded sex that was mapped in ArcGIS 9.2 Tijuana Municipal Planning Institute provided digital map files of roadways Using ArcGIS measuring tool, manually calculated roadway distance between workplace and the main sex strip in the Zona Roja

9 Results from a Multivariable Logistic Regression For every 200 meters a FSWs worked from the center of the Zona Roja we observed a 41% increase in the odds of HIV, Chlamydia, and or gonorrhea infection Traveling a short distance from where sex work is most visible has a significant impact on HIV/STIs

10 Conclusion Measuring distance captured more spatial variation and allowed us to identify geography as an independent correlate of HIV/STIs By mapping work location we found which areas By mapping work location we found which areas had a greater concentration of street-based sex workers who are more likely to experience increased risk for unsafe sex and drug activity

11 Implications These geographic analysis are informative for spatially relevant prevention and support services After study concluded, a mobile HIV prevention program targeting high-risk neighborhoods in the Zona Roja was implemented

12 Future Challenges How can we incorporate the physical location of where high-risk behaviors are occurring into a simulation? NIH/NIDA K01 Career Development Award (K01- DA )- Develop a comprehensive simulation model to understand the underlying transmission dynamics of sexually transmitted infections. The simulation model will incorporate geographic information of where FSWs live and work. How does movement in and out of the Zona Roja affect access to services and condoms, and ultimately likelihood of HIV/STIs?

13 Behavioral and Environmental Process affecting HIV/STIs Enforcement of Local Policy on SW Unregistered FSWs in Zona Roja relocation Unregistered FSWs outside Zona Roja + Registration Expired Registration HIV/STIs Registered FSWs in Zona Roja + FSW access to Prevention Services + FSW Condom Use -

14 Acknowledgements Collaborators: M. Rusch, K. Brouwer, E. Perkins, T. Patterson, S. Strathdee. Funding: NIH/NIDA (R01DA S1) Selected Publications: Gaines TL, Rusch ML, Brouwer KC, Lozada R, Perkins EE, Strathdee SA, Paterson TL. (2012) The effect of geography on HIV and sexually transmitted infections in Tijuana s red light district. Journal of Urban Health (in Press). Rusch ML, Brouwer KC, Lozada R, Strathdee SA, Magis-Rodriguez C, Patterson TL. (2010) Distribution of sexually transmitted diseases and risk factors by work locations among female sex workers in Tijuana, Mexico. Sexually Transmitted Diseases;37(10): ; ( )

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