Evidence map›Paper›PMID 40948424›Full record

ArticleAIDS (London, England)2025

Evaluating the impact of COVID-19 on the HIV epidemic among MSM in Australia.

Rongxing Weng, Jisoo A Kwon, Mo Hammoud, Brent Clifton, Nick Scott, Skye McGregor, Richard T Gray

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

7 authors.

Rongxing WengKirby Institute, UNSW Sydney.
Jisoo A KwonKirby Institute, UNSW Sydney.
Mo HammoudKirby Institute, UNSW Sydney.
Brent CliftonNational Association of People With HIV Australia, Sydney, New South Wales.
Nick ScottBurnet Institute, Melbourne, Victoria, Australia.
Skye McGregorKirby Institute, UNSW Sydney.
Richard T GrayKirby Institute, UNSW Sydney.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveGovernment-imposed physical distancing restrictions during the COVID-19 pandemic disrupted biobehavioral HIV prevention practices and access to healthcare services. This study aimed to use a mathematical model to evaluate the impact of COVID-19 on the HIV epidemic among MSM in Australia, using empirical data.

designA retrospective modeling study.

methodsWe developed a mathematical model to estimate monthly HIV incidence between January 2020 and August 2022. We obtained aggregated monthly data for sexual partners, condom use, HIV testing, preexposure prophylaxis (PrEP) use, and migration. Three scenarios were simulated: a COVID-19 scenario; a no COVID-19 scenario where input parameters remained at pre-COVID-19 values; and a no COVID-19 scenario with continued PrEP scale-up.

resultsIn the absence of the COVID-19 pandemic, 1263 (95% percentile interval: 880-1706) infections would have occurred between January 2020 and August 2022 compared to 915 (95% percentile interval: 638-1282) for the COVID-19 scenario (a 27.6% reduction). Reduced sexual partners was the leading factor contributing to the change in HIV infections and diagnoses (-24.9 and -10.6%, respectively). MSM aged at least 50 years had a larger reduction (31.0%) in new HIV infections than their younger counterparts (19.9%).

conclusionA substantial reduction in new HIV infections and diagnoses in Australia occurred during the COVID-19 pandemic, largely due to decreased numbers of sexual partners. This reduction underscores the need for sustained public health strategies leveraging reduced transmission rates to continue progress toward eliminating HIV in Australia.

Indexed as

COVID-19HIV InfectionsHomosexuality, MaleAdultAustraliaCondomsEpidemicsHumansIncidenceMaleMiddle AgedModels, TheoreticalPre-Exposure ProphylaxisRetrospective StudiesSARS-CoV-2Sexual PartnersAustraliaCOVID-19HIVmodelingMSM

Identifiers

PMID40948424
PMCPMC12629114

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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.