ArticlePloS one2020
Programmatic mapping and size estimation of key populations to inform HIV programming in Tanzania.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 15 citations in OpenAlex.
- Mapping Key Populations to Develop Improved HIV and AIDS Interventions: Multiphase Cross-Sectional Observational Mapping Study Using a District and City Approach.JMIR public health and surveillance · 2025Observational
- Programmatic mapping and population size estimation of key population in India: Method and findings.PLOS global public health · 2025Article
- Five different ways of reasoning: Tanzanian healthcare workers' ideas about how to improve HIV prevention among same-sex attracted men.BMC health services research · 2023Article
- Summarizing methods for estimating population size for key populations: a global scoping review for human immunodeficiency virus research.AIDS research and therapy · 2022Article
- Attitudes of medical students towards men who have sex with men living with HIV: implications for social accountability.International journal of medical education · 2020Article
- Development, Implementation, and Scale Up of the NationalAmerican journal of men's healthArticle
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Authors and funding
13 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionA programmatic mapping and size estimation study was conducted in 24 districts in 5 regions of Tanzania to estimate the size and locations of female sex workers (FSW) and men who have sex with men (MSM) to inform the HIV programming for Key Populations. METHODOLOGY: Data were collected at two levels: first, interviews were conducted with informants to identify venues where FSWs and MSM frequent. Secondly, the size of MSM and FSWs were estimated through interviews with FSWs, MSM and other informants at the venue. The venue estimates were aggregated to generate the ward level estimates. Correction factors were then applied to adjust for MSM/FSW counted twice or more, absent from the venues on the mapping day or remain online and hidden. The ward size estimates for mapped wards were extrapolated to non-mapped wards and aggregated to generate district and regional level estimates.
resultsA total of 4,557 level I interviews were conducted. Further, 3,098 FSWs and 1,074 other informants at the FSWs venues and 558 MSM and 210 other informants at the MSM venues were interviewed during level II. The mapping survey identified 6,658 FSW, 1,099 FSW and MSM and 50 MSM venues in 75 wards. A total of 118,057 (range: 108,269 to 127,845) FSWs and 23,771 (range: 22,087 to 25,454) MSM were estimated in the study regions after extrapolation and accounting for correction factors. It was estimated that 5.6% and 1.3% of the female and male population of reproductive age (15-49 years old) could be FSWs and MSM in the study regions, respectively.
conclusionThis study provides the baseline figures for planning, target setting and monitoring of the HIV intervention services in the study areas and geographic prioritisation of the response by allocating more resources to areas with a large number of FSWs and MSM.
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