Evidence map›Paper›PMID 40440236›Full record

ArticleAIDS (London, England)2025

Trends in population HIV viral suppression: a longitudinal analysis.

Margot Otto, Elphas Okango, Paul Mee, Adrian Dobra, Khai Hoan Tram, Dickman Gareta, Wilfred Otambo, Reuben Moyo, Tumelo Sereo, Ntombifuthi Blose and 5 more

Abstract read
In one paragraph

Article in AIDS (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Margot OttoCentre for Epidemic Response and Innovation, School for Data Science and Computational Thinking.
Elphas OkangoAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Paul MeeCentre for Epidemic Response and Innovation, School for Data Science and Computational Thinking.
Adrian DobraUniversity of Washington, Seattle, Washington, USA.
Khai Hoan TramUniversity of Washington, Seattle, Washington, USA.
Dickman GaretaAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Wilfred OtamboCentre for Epidemic Response and Innovation, School for Data Science and Computational Thinking.
Reuben MoyoCentre for Epidemic Response and Innovation, School for Data Science and Computational Thinking.
Tumelo SereoCentre for Epidemic Response and Innovation, School for Data Science and Computational Thinking.
Ntombifuthi BloseCentre for Epidemic Response and Innovation, School for Data Science and Computational Thinking.
Nthoesele Shoeshoe LetoaoCentre for Epidemic Response and Innovation, School for Data Science and Computational Thinking.
Letitsia MupanguriSchool of Nursing and Public Health, University of KwaZulu-Natal.
Henry MwambiSchool of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Durban, South Africa.
Kobus HerbstAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Frank TanserCentre for Epidemic Response and Innovation, School for Data Science and Computational Thinking.

Funding

The changing face of HIV in the era of COVID-19: Maximising HIV incidence reduction through dynamic targeting of current and future distributions of acquisition risk.R01MH131480 · NIMH · STELLENBOSCH UNIVERSITY · PI Henry Godwell Mwambi, Frank Courteney Tanser · 2023 to 2026
$2.0M
NIMH NIH HHS R01 MH131480
6 · The paper itself

Abstract

This study examines trends in HIV viral suppression and the impact of age and sex on suppression rates in a rural KwaZulu-Natal (KZN) population-based cohort from 2011 to 2023. Population viral suppression improved over time, peaking at 71% for men and 79% for women in 2022, but declined in 2023 possibly due to COVID-19 disruptions. Viral suppression rates were substantially lower than reported regional estimates for KZN. Disparities among younger males highlight the need for interventions to achieve UNAIDS 95-95-95 targets.

Indexed as

HIV InfectionsViral LoadAdolescentAdultAge FactorsCOVID-19FemaleHumansLongitudinal StudiesMaleMiddle AgedRural PopulationSex FactorsSouth AfricaYoung Adult

Identifiers

PMID40440236
PMCPMC12144545

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.