4.4 Article

Spatial distribution of HIV prevalence and incidence among injection drugs users in St Petersburg: implications for HIV transmission

期刊

AIDS
卷 22, 期 1, 页码 123-130

出版社

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/QAD.0b013e3282f244ef

关键词

geographical information systems; harm reduction; HIV/AIDS; injection drug use

资金

  1. FIC NIH HHS [D43 TW001028] Funding Source: Medline
  2. NIAID NIH HHS [U01 AI068619-03, U01 AI047987-06, U01 AI068619] Funding Source: Medline
  3. NIMH NIH HHS [P30 MH062294, 5P30 MH062294] Funding Source: Medline
  4. PHS HHS [U01 A147987] Funding Source: Medline

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Introduction: The HIV/AIDS epidemic in St Petersburg, as in much of Russia, is concentrated among injection drug users (IDU) in whom prevalence reached 30% in 2003. Understanding the dynamics of the epidemic is important in developing appropriate responses in the resource-constrained context of Russian cities such as St Petersburg. Methods: IDU were contacted and screened to create a seronegative cohort for prevention and vaccine studies. At screening, individuals provided sociodemographic, drug use, and injection and sex-related risk behavior data. Seronegative individuals who enrolled in the cohort were followed for one year and tested for HIV semiannually. Residential addresses were entered into a geographical information system programme and analysed for spatial clustering using Moran's I and nearest-neighbor analysis. Results: We mapped 788 of the 900 study participants to discrete locations within St Petersburg; 236 (29.9%) were HIV seropositive at baseline. Although there was no clustering of the study population as a whole, HIV-infected individuals were tightly clustered and prevalence co-clustered with high frequency of heroin injection, receptive syringe sharing, being younger than 24 years, and living with parents. These clusters were restricted to 5% of populated areas of the city. We mapped 18 of 20 incident cases detected among the cohort, and more than half were located within or adjacent to the clusters. Interpretation: Spatial analysis identified linkages between disease prevalence and risky injection behaviors that were not evident using traditional epidemiological analysis. The analysis also identified where resources might be allocated geographically for maximum impact in slowing the HIV epidemic among IDU. (c) 2008 Wolters Kluwer Health.

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