Evidence map›Paper›PMID 39830262›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Evaluating the biomedical and behavioural drivers of HIV-1 incidence decline in adolescent girls and young women in Uganda: A mathematical modelling study.

Adam Akullian, Victor Ssempijja, Daniel Breidenbecker, Fred Nalugoda, Gertrude Nakigozi, John Santelli, Philip Kreniske, Larry W Chang, Steven J Reynolds, Robert Ssekubugu and 12 more

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. 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors.

Adam AkullianInstitute for Disease Modeling, Bill and Measslinda Gates Foundation.ORCID 0000-0001-8247-2172
Victor SsempijjaClinical Monitoring Research Program Directorate, Frederick National Laboratory for Cancer Research.ORCID 0000-0003-2609-6525
Daniel BreidenbeckerInstitute for Disease Modeling, Bill and Melinda Gates Foundation.
Fred NalugodaRakai Health Sciences Program, Kalisizo, Uganda.
Gertrude NakigoziRakai Health Sciences Program, Kalisizo, Uganda.
John SantelliPopulation and Family Health and Pediatrics, Columbia University.
Philip KreniskeGraduate School of Public Health and Health Policy, City University of New York.
Larry W ChangJohns Hopkins School of Medicine and Bloomberg School of Public Health.
Steven J ReynoldsDivision of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health.
Robert SsekubuguRakai Health Sciences Program, Kalisizo, Uganda.
Ronald H GrayJohns Hopkins University.
Maria J WawerJohns Hopkins Bloomberg School of Public Health.
Thomas C QuinnDepartment of Medicine, Johns Hopkins University School of Medicine.
Ronald M GaliwangoRakai Health Sciences Program, Kalisizo, Uganda.
William J M ProbertUniversity of Oxford.
Jeffrey W Imai-EatonCenter for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; MRC Centre for Global Infectious Disease Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom.
Oliver RatmannDepartment of Mathematics, Imperial College London.ORCID 0000-0001-8667-4118
Christophe FraserLi Ka Shing Centre for Health Information and Discovery, University of Oxford.
Joseph KagaayiRakai Health Sciences Program, Kalisizo, Uganda.
Godfrey KigoziRakai Health Sciences Program, Kalisizo, Uganda.
M Kate GrabowskiDepartments of Pathology and Epidemiology, Johns Hopkins University.
David SerwaddaRakai Health Sciences Program, Kalisizo, Uganda.

Funding

WORK ORDER 126643 B539 EXPAND IC SUITE75N91019D00024 · NIAID · LEIDOS BIOMEDICAL RESEARCH, INC. · PI BRISCOE, LYNN · 2019 to 2025
$3932.6M
Circumcision: HIV/STIs and behaviors in a RCT and post-RCT surveillance; RakaiU01AI075115 · NIAID · JOHNS HOPKINS UNIVERSITY · PI GRAY, RONALD H · 2007 to 2011
$9.3M
Methods for Reducing Spatial Uncertainty and Bias in Disease SurveillanceR01AI102939 · NIAID · JOHNS HOPKINS UNIVERSITY · PI LESSLER, JUSTIN · 2013 to 2017
$4.6M
The role of penile bacteria and inflammation in HIV susceptibility; Rakai, UgandaR01AI123002 · NIAID · GEORGE WASHINGTON UNIVERSITY · PI LIU, CINDY · 2016 to 2020
$3.3M
Enhanced Provision of Male Circumcision for HIV Prevention, Rakai, UgandaU01AI100031 · NIAID · JOHNS HOPKINS UNIVERSITY · PI GRAY, RONALD H · 2012 to 2014
$3.2M
HIV Incidence, Transmission Dynamics and Combination HIV Prevention: Rakai UgandaR01AI110324 · NIAID · JOHNS HOPKINS UNIVERSITY · PI GRAY, RONALD H · 2014 to 2016
$2.4M
International Center for Excellence in Research (ICER) in Uganda: Impact of ARVsZ01AI001040 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI QUINN, THOMAS · 2008 to 2008
$2.2M
Penile Microbiome, Inflammation and HIV Susceptibility During Sexual Debut and Maturation Among Male AdolescentsR01AI128779 · NIAID · JOHNS HOPKINS UNIVERSITY · PI TOBIAN, AARON A · 2017 to 2020
$2.1M
Revealing women's hidden role as critical components of HIV transmission networks in Rakai, Uganda: an interdisciplinary approachK01AI125086 · NIAID · JOHNS HOPKINS UNIVERSITY · PI GRABOWSKI, MARY KATHRYN · 2016 to 2020
$638k
Intramural NIH HHS Z01 AI001040NCI NIH HHS 75N91019D00024NIAID NIH HHS K01 AI125086NIAID NIH HHS R01 AI102939NIAID NIH HHS R01 AI110324NIAID NIH HHS R01 AI123002NIAID NIH HHS R01 AI128779NIAID NIH HHS U01 AI075115NIAID NIH HHS U01 AI100031
6 · The paper itself

Abstract

Background: Recent declines in HIV incidence among adolescent girls and young women (AGYW) in Africa are often attributed to the expansion of biomedical interventions such as antiretroviral therapy and voluntary medical male circumcision. However, changes in sexual behaviour may also play a critical role. Understanding the relative contributions of these factors is essential for developing strategies to sustain and further reduce HIV transmission. Methods: We conducted a mathematical modelling study of data from the Rakai Community Cohort Study (RCCS), an open, population-based cohort of 15- to 49-year-olds in 30 communities in Rakai, Uganda, to investigate the biomedical and behavioural drivers of HIV incidence decline in AGYW (15-24 years of age). We estimated changes in the HIV incidence rate between 2000-2019 using retrospective cohort data to validate our modelled incidence estimates. We ran modelled counterfactual scenarios to quantify the independent and combined effects (cumulative infections averted and difference in incidence rates) of antiretroviral therapy (ART), voluntary medical male circumcision (VMMC), and delays in age of first sex (AFS) over historical (between 2000-2020) and projected (between 2000-2050) time horizons. Findings: Incidence in women 15-24 years of age declined by 83% between 2000-2019 (from 1.72 per 100 person-years in 2000 to 0.30 per 100 person-years in 2019), the largest reduction in incidence of all age groups of women. Increasing AFS over the last two decades (by 3 years in women and 2 years in men) was the largest contributor to incidence decline in women 15-19 years of age, averting 17% of cumulative infections between 2000-2020 and 37% between 2000-2050. Incidence in 15-19-year-old women was 69% lower in 2020 and 75% lower in 2050 compared to counterfactual scenarios without changes in AFS. ART scale-up contributed the most to incidence declines among women 20-24 years of age, averting 13% of infections between 2000-2020 and 43% of infections between 2000-2050. VMMC averted < 5% of infections in 15-24-year-olds to-date, with larger reductions in incidence between 2000-2050 in both 15-19 year-olds (13% reduction in cumulative infections) and 20-24 year-olds (22% of cumulative infections). ART, VMMC, and increasing AFS acted additively to reduce HIV incidence in AGYW, with little redundancy when combined. Interpretation: Our results provide strong support for maintaining both the protective changes in sexual behaviours and effective biomedical interventions to sustain continued reductions in HIV incidence among AGYW.

Identifiers

PMID39830262
PMCPMC11741483

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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.