ArticleJournal of acquired immune deficiency syndromes (1999)2024
Measuring HIV Acquisitions Among Partners of Key Populations: Estimates From HIV Transmission Dynamic Models.
Article in Journal of acquired immune deficiency syndromes (1999), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- Evaluating the impact of achieving cascade equality in Eswatini: a modeling study on the prevention impacts of antiretroviral therapy.AIDS (London, England) · 2026Article
- Identifying priority populations for HIV interventions using acquisition and transmission indicators: a combined analysis of 15 mathematical models from ten African countries.The lancet. HIV · 2026Article
- Who attends a free sexual health center in Paris for HIV/STI screening? an observational study.BMC public health · 2025Observational
- Comparison of Empirically Derived and Model-Based Estimates of Key Population HIV Incidence and the Distribution of New Infections by Population Group in Sub-Saharan Africa.Journal of acquired immune deficiency syndromes (1999) · 2024Article
- Updated Data and Methods for the 2023 UNAIDS HIV Estimates.Journal of acquired immune deficiency syndromes (1999) · 2024Article
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Authors and funding
26 authors at 14 institutions in 6 countries.
Funding
Abstract
backgroundKey populations (KPs), including female sex workers (FSWs), gay men and other men who have sex with men (MSM), people who inject drugs (PWID), and transgender women (TGW) experience disproportionate risks of HIV acquisition. The UNAIDS Global AIDS 2022 Update reported that one-quarter of all new HIV infections occurred among their non-KP sexual partners. However, this fraction relied on heuristics regarding the ratio of new infections that KPs transmitted to their non-KP partners to the new infections acquired among KPs (herein referred to as "infection ratios"). We recalculated these ratios using dynamic transmission models.
settingOne hundred seventy-eight settings (106 countries).
methodsInfection ratios for FSW, MSM, PWID, TGW, and clients of FSW were estimated from 12 models for 2020.
resultsMedian model estimates of infection ratios were 0.7 (interquartile range: 0.5-1.0; n = 172 estimates) and 1.2 (0.8-1.8; n = 127) for acquisitions from FSW clients and transmissions from FSW to all their non-KP partners, respectively, which were comparable with the previous UNAIDS assumptions (0.2-1.5 across regions). Model estimates for female partners of MSM were 0.5 (0.2-0.8; n = 20) and 0.3 (0.2-0.4; n = 10) for partners of PWID across settings in Eastern and Southern Africa, lower than the corresponding UNAIDS assumptions (0.9 and 0.8, respectively). The few available model estimates for TGW were higher [5.1 (1.2-7.0; n = 8)] than the UNAIDS assumptions (0.1-0.3). Model estimates for non-FSW partners of FSW clients in Western and Central Africa were high (1.7; 1.0-2.3; n = 29).
conclusionsRatios of new infections among non-KP partners relative to KP were high, confirming the importance of better addressing prevention and treatment needs among KP as central to reducing overall HIV incidence.
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