Evidence map›Paper›PMID 39940027›Full record

ArticleBMC medicine2025

Mitigating HIV risk associated with widow cleansing and wife inheritance using combined biomedical and structural interventions in western Kenya: a mathematical modeling study.

Duncan K Gathungu, Viona N Ojiambo, Mark E Kimathi, David Kaftan, Hae-Young Kim, Daniel T Citron, Ingrida Platais, Daniel Briedenbecker, Clark Kirkman, Samuel M Mwalili and 1 more

Abstract read
In one paragraph

Article in BMC medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Duncan K Gathungu *Jomo Kenyatta University of Agriculture and Technology, P.O. Box 62000-00200, Nairobi, Kenya.
Viona N Ojiambo *Jomo Kenyatta University of Agriculture and Technology, P.O. Box 62000-00200, Nairobi, Kenya.
Mark E KimathiStrathmore University, Ole Sangale Road, P.O. Box 59857-00200, Nairobi, Kenya.
David KaftanNew York University Grossman School of Medicine, New York, NY, USA.
Hae-Young KimNew York University Grossman School of Medicine, New York, NY, USA.
Daniel T CitronNew York University Grossman School of Medicine, New York, NY, USA.
Ingrida PlataisNew York University Grossman School of Medicine, New York, NY, USA.
Daniel BriedenbeckerInstitute for Disease Modeling at the Bill & Melinda Gates Foundation, 500 5th Avenue North, Seattle, WA, USA.
Clark KirkmanInstitute for Disease Modeling at the Bill & Melinda Gates Foundation, 500 5th Avenue North, Seattle, WA, USA.
Samuel M MwaliliJomo Kenyatta University of Agriculture and Technology, P.O. Box 62000-00200, Nairobi, Kenya.
Anna BershteynNew York University Grossman School of Medicine, New York, NY, USA. Anna.Bershteyn@nyulangone.org.

Funding

Can mental health services break the cycle perpetuating HIV hotspots in sub-Saharan Africa?R01MH124478 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BERSHTEYN, ANNA · 2021 to 2025
$3.2M
Drug concentration measurement for HIV prevention targets: toward a population-based HIV impact assessment (PHIA) for PrEPR01AI179417 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Anna Bershteyn, Dobromir Dimitrov · 2024 to 2026
$2.5M
When are in-person HIV services worth the risk of COVID-19 and other communicable illnesses? Optimizing choices when virtual services are less effectiveR01MH130238 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BERSHTEYN, ANNA · 2022 to 2024
$2.2M
NIAID NIH HHS R01 AI179417NIMH NIH HHS R01 MH124478NIMH NIH HHS R01 MH130238
6 · The paper itself

Abstract

backgroundIn parts of Africa, women who become widowed lose housing, bank accounts, and other property and must re-marry to avoid extreme poverty. To re-marry, some women are required to undergo widow "cleansing"-condomless sex with a man who removes "impurities" ascribed to her from her husband's death-and are "inherited" as a wife of a brother-in-law. This study explores how HIV biomedical and structural interventions could reduce HIV-related harms associated with these practices.

methodsWe adapted EMOD-HIV, an HIV agent-based network transmission model previously calibrated and validated for the Nyanza region of western Kenya. Building on the model's pre-existing configuration of marriages, mortality, and widowhood, we added widow cleansing and wife inheritance with assumptions based on literature. Modeled HIV prevalence among inherited widows was validated to match observed data. We modeled the effect of widowed women, cleansers, and inheritors receiving biomedical HIV interventions (testing, treatment for those tested positive, and 1 year of pre-exposure prophylaxis (PrEP) initiated at cleansing for those tested negative) with or without structural interventions (female empowerment). We modeled low (30%) and high (70%) intervention uptake and reported HIV outcomes including cumulative infections over 2025-2050.

resultsModeled HIV prevalence among inherited widowed women was 59.8% (95% CI: 59.5-60.2%), comparable to observed prevalence of 64.1% (95% CI: 63.2-65.4%). Among all widowed women, biomedical interventions averted 2.0% (95% CI: 1.3-2.6%) of HIV infections with low uptake and 2.6% (95% CI: 2.0-3.2%) with high uptake. Combined biomedical and structural interventions averted 7.8% (95% CI: 7.2-8.4%) of HIV infections with low uptake and 16.1% (95% CI: 15.5-16.6%) with high uptake. Impacts were smaller for men, e.g., high-uptake structural and biomedical interventions averted 1.8% (95% CI: 1.5-2.2%) of infections among cleansers and 2.7% (95% CI: 2.4-3.0%) among inheritors.

conclusionsWidowed women are a vulnerable population with extremely high HIV prevalence. Combined biomedical and structural interventions focused on the practice of widow cleansing and wife inheritance have the potential to avert up to one-quarter of HIV infections among widowed women, and a smaller proportion among men participating in these practices.

Indexed as

HIV InfectionsModels, TheoreticalWidowhoodAdultFemaleHumansKenyaMaleSpousesEmpowermentHIVModelingStructural interventionsWidowWife inheritance

Identifiers

PMID39940027
PMCPMC11823008

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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.