Evidence map›Paper›PMID 40313263›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Sustaining Rwanda's HIV response after elimination of PEPFAR funding: a modeling analysis.

April D Kimmel, Zhongzhe Pan, Gad Murenzi, Ellen Brazier, Batya Elul, Benjamin Muhoza, Marcel Yotebieng, Kathryn Anastos, Denis Nash

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

April D KimmelDepartment of Health Policy, Virginia Commonwealth University School of Public Health, Richmond, USA.
Zhongzhe PanDepartment of Health Policy, Virginia Commonwealth University School of Public Health, Richmond, USA.
Gad MurenziResearch for Development (RD Rwanda), Kigali, Rwanda.
Ellen BrazierInstitute for Implementation Science in Population Health, City University of New York, USA.ORCID 0000-0002-8514-1958
Batya ElulColumbia University Mailman School of Public Health.
Benjamin MuhozaResearch for Development (RD Rwanda), Kigali, Rwanda.
Marcel YotebiengAlbert Einstein College of Medicine, New York, USA.
Kathryn AnastosAlbert Einstein College of Medicine, New York, USA.
Denis NashInstitute for Implementation Science in Population Health, City University of New York, USA.

Funding

"Enhancing Cancer Research in Central Africa IeDEA"U01AI096299 · NIAID · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI Denis Nash, Marcel Yotebieng · 2011 to 2026
$35.8M
NIAID NIH HHS U01 AI096299
6 · The paper itself

Abstract

Introduction: HIV prevention and treatment supported by the United States President's Emergency Plan for AIDS Relief (PEPFAR) have saved millions of lives. Rwanda is among the most successful countries around the world in achieving global targets with PEPFAR support. However, abrupt funding uncertainty around PEPFAR raises concerns about continued HIV epidemic control. We projected the impact of the Government of Rwanda's (GoR's) capacity to offset the elimination of PEPFAR funding on adult HIV epidemic and care continuum outcomes over 10 years. Methods: Using an HIV policy model calibrated to Rwanda, we assessed: capacity to sustain HIV services at 50% (with no capacity by GoR to cover the PEPFAR funding gap), 75%, 90%, and 100% (with full capacity by GoR to cover the PEPFAR funding gap). Scenarios were operationalized by reducing the number on antiretroviral therapy (ART), with immediate ART discontinuation and proportional decreases in HIV diagnosis, ART initiation, and care re-engagement. We projected HIV epidemic outcomes (HIV prevalence, HIV incidence, number with HIV, new HIV infections, deaths) and care continuum outcomes (percent diagnosed, percent on ART among those diagnosed, percent virally suppressed among those on ART). We calculated differences in projected outcomes for partial or no capacity versus full capacity. Secondary analyses assessed delayed coverage capacity by 1 and 3 years. Results: Compared to full capacity at 10 years, the model projected a 13.9%-38.7% increase in HIV prevalence and 69.0%-246.7% increase in HIV incidence across coverage capacity scenarios. This translated to 29,000-64,000 additional adults with HIV and 20,000-92,000 cumulative new adult HIV infections. Cumulative projected deaths increased by 10,000-51,200. The model projected continual reductions in percent diagnosed at 10 years; percent virally suppressed among those on ART was similar across scenarios. Higher, and more delayed, coverage capacity had projected outcomes similar to lower, and less delayed, coverage capacity. Conclusions: Even in countries like Rwanda that have achieved epidemic control, abrupt and persistent elimination of PEPFAR funding could drastically reverse critical gains. Evidence quantifying the consequences of different capacities to sustain HIV services underscores the high stakes of rapid and sufficient action.

Indexed as

care continuumepidemicfundingHIV and AIDSmathematical modelRwanda

Identifiers

PMID40313263
PMCPMC12045445

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LicenceCC BY-NC-ND
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Registered trials

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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.