Evidence map›Paper›PMID 36949387›Full record

ArticleBMC infectious diseases2023

Modelling the impact of combining HIV prevention interventions on HIV dynamics in fishing communities in Uganda.

Cécile Kremer, Anatoli Kamali, Monica Kuteesa, Janet Seeley, Niel Hens, Rebecca N Nsubuga

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In one paragraph

Article in BMC infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.9field-weighted citation impact, top 15% of its field
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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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

6 authors at 5 institutions in 4 countries.

Cécile KremerInteruniversity Institute for Biostatistics and Bioinformatics (I-BioStat), Data Science Institute, Hasselt University, Hasselt, Belgium. cecile.kremer@uhasselt.be.
Anatoli KamaliInternational AIDS Vaccine Initiative, Nairobi, Kenya.
Monica KuteesaLondon School of Hygiene and Tropical Medicine, London, UK.
Janet SeeleyLondon School of Hygiene and Tropical Medicine, London, UK.
Niel HensInteruniversity Institute for Biostatistics and Bioinformatics (I-BioStat), Data Science Institute, Hasselt University, Hasselt, Belgium.
Rebecca N NsubugaMedical Research Council, Virus Research Unit & LSHTM Uganda Research Unit (MRC/UVRI & LSHTM), Entebbe, Uganda.
London School of Hygiene & Tropical Medicine · GBHasselt University · BEKenya AIDS Vaccine Initiative · KEUganda Virus Research Institute · UGUniversity of Antwerp · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn countries with mature generalized HIV epidemics such as Uganda, there are still groups of individuals that are disproportionately affected. Among the key populations in Uganda are fishing communities, which make up about 10% of the population. Compared to the general population, HIV prevalence and incidence among individuals living in these communities is high. This high HIV burden has been attributed to several factors including limited access to prevention and treatment services as well as ongoing high-risk sexual behaviour.

methodsWe investigated the impact of combined HIV prevention interventions on HIV transmission dynamics in high-risk fishing communities in Uganda using a deterministic compartmental model. The model was calibrated to seroprevalence data from a census performed in 2014. To account for remaining uncertainty in the calibrated model parameters, 50 000 simulated scenarios were modelled to investigate the impact of combined prevention interventions.

resultsThe projected HIV incidence decreased from 1.87 per 100 PY without intervention scale-up to 0.25 per 100 PY after 15 years (2014-2029) of intervention scale-up. A potential combination achieving this 87% reduction in incidence over 15 years in Ugandan FCs included condom use in about 60% of sexual acts, 23% of susceptible men circumcised, 87% of people living with HIV aware of their status, 75% of those on ART, and about 3% of susceptible individuals on oral PrEP. Uncertainty analysis revealed relative reductions in incidence ranging from 30.9 to 86.8%. Sensitivity analyses suggested that condom use and early ART were the most important interventions.

conclusionReducing HIV incidence, as well as prevalence and AIDS-related mortality, in these high-risk fishing communities in Uganda is attainable over 15 years with a combination prevention package. Our projected intervention coverage levels are well within the national targets set by the Uganda government and enable coming close to reaching the UNAIDS 95-95-95 targets to end AIDS as a public health threat by 2030.

Indexed as

Acquired Immunodeficiency SyndromeHIV InfectionsHumansHuntingMaleSeroepidemiologic StudiesUgandaCombination preventionFishing communitiesHIVMathematical modelling

Identifiers

PMID36949387
PMCPMC10031877
OpenAlexW4360601297

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LicenceCC BY
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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.