Evidence map›Paper›PMID 42435924›Full record

ArticleAnnals of epidemiology2026

Defining strata of women at risk for HIV in Sub-Saharan Africa: a pooled latent class analysis.

Katherine Rucinski, Yuanqi Mi, Kaitlyn Atkins, Mary Anne Roach, Amrita Rao, Carrie Lyons, Gnilane Turpin, Kalai Willis, Nancy Tahmo, Odette Ky-Zerbo and 15 more

Abstract read
In one paragraph

Article in Annals of epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

25 authors.

Katherine RucinskiDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States.
Yuanqi MiDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States. Electronic address: ymi3@jhu.edu.
Kaitlyn AtkinsDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States.
Mary Anne RoachDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States.
Amrita RaoDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States.
Carrie LyonsDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States.
Gnilane TurpinDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States.
Kalai WillisDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States.
Nancy TahmoUniversity of Toronto, Toronto, CA, United States.
Odette Ky-ZerboProgramme d'Appui au Monde Associatif et Communautaire (PAMAC), Ouagadougou, Burkina Faso.
Iliassou Mfochive NjindamJohns Hopkins University, Yaoundé, Cameroon.
Ubald TamoufeMetabiota, Yaoundé, Cameroon.
Serge BillongComité National de Lutte contre le Sida, Ministère de la Santé Publique, Yaoundé, Cameroon.
Bai ChamActionAid, Banjul, Gambia.
Mamkumba NdowsiseActionAid, Banjul, Gambia.
Mamadú AliuDjalóENDA Santé Guiné Bissau, Bissau, Guinea.
Refilwe Phaswana-MafuyaUniversity of Johannesburg, Johannesburg, South Africa.
Mfezi McinganaTB HIV Care, Cape Town, South Africa.
Ibrahima BaENDA Santé, Dakar, Senegal.
Nguissali TurpinENDA Santé, Dakar, Senegal.
Daouda DioufENDA Santé, Dakar, Senegal.
Simplice AnatoArc-en-ciel, Lome, Togo.
Jinkou ZhaoThe Global Fund to Fight AIDS, Tuberculosis and Malaria, Geneva, Switzerland.
Sheree SchwartzDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States.
Stefan BaralDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States.

Funding

Leveraging Big Data Science to Focus the HIV Response in Countries with Generalized HIV EpidemicsR01AI170249 · NIAID · JOHNS HOPKINS UNIVERSITY · PI BARAL, STEFAN DAVID · 2022 to 2025
$2.9M
The Johns Hopkins and Emory University AIDS Research Center – Center for HIV and Mental Health Stigma Elimination Strategies (CHIMES) P30MH136919 · NIMH · JOHNS HOPKINS UNIVERSITY · PI Stefan David Baral, Patrick Sean Sullivan · 2024 to 2026
$2.9M
Implementation Research to Optimize ART Delivery for Adolescents and Young Adults Living with HIVK01MH129226 · NIMH · JOHNS HOPKINS UNIVERSITY · PI Katherine B Rucinski · 2022 to 2026
$792k
Program and implementation context of a housing support initiative to address homelessness and improve HIV service uptake among youth in the United StatesK01MD020002 · NIMHD · JOHNS HOPKINS UNIVERSITY · PI Amrita Rao · 2024 to 2026
$381k
Implementation science to optimize HIV prevention and substance use services among men who have sex with men in the USK01DA063441 · NIDA · JOHNS HOPKINS UNIVERSITY · PI Kaitlyn M Atkins · 2025 to 2026
$354k
NIAID NIH HHS R01 AI170249NIDA NIH HHS K01 DA063441NIMHD NIH HHS K01 MD020002NIMH NIH HHS K01 MH129226NIMH NIH HHS P30 MH136919
6 · The paper itself

Abstract

purposeCommunity-led programs have expanded sexual and reproductive health services for female sex workers (FSW) across sub-Saharan Africa. However, substantial heterogeneity in HIV risk and engagement with prevention services remains, underscoring the need for differentiated approaches to identify FSW who remain underserved by HIV programs.

methodsWe pooled 2013-2019 bio-behavioral survey data from nine countries in Sub-Sahara Africa. Latent class analysis defined underlying risk indicated by sexual behavior, client type, alcohol use, and violence. We profiled characteristics of classes and used mixture models to estimate adjusted odds ratios (aOR) and 95% confidence intervals (CI) for associations of class membership with prior HIV testing and biologically-confirmed HIV status.

resultsAmong 5548 FSW (median age: 27, IQR 23-34), four classes were identified: Alcohol and Violence (16.8%), High Client Turnover (38.4%), Lower Client Volume (31.8%), and Limited Condoms and Lubricant Use (13.0%). Relative to other groups, FSW in Lower Client Volume were older and less likely to experience sex work interruptions or share earnings. Prior HIV testing was lower among the Limited Condoms and Lubricant Use class relative to others: Alcohol and Violence (aOR 4.99, 95%CI 3.44-7.24), High Client Turnover (aOR 4.09, 95%CI 3.19-5.24), and Lower Client Volume (aOR 3.58, 95%CI 2.80-4.59).

conclusionsPooled analyses demonstrated heterogeneous individual and structural influences on HIV prevention among FSW. Increased specificity in implementation of HIV services for FSW may increase efficiency to achieve more with less in the HIV response.

Indexed as

HIV InfectionsSexual BehaviorSex WorkersAdultAfrica South of the SaharaAlcohol DrinkingCondomsFemaleHumansLatent Class AnalysisRisk FactorsRisk-TakingViolenceYoung AdultAfricaDifferentiated servicesFemale sex workersHIV preventionLatent class analysisRisk stratification

Identifiers

PMID42435924
PMCPMC13681421

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.