Evidence map›Paper›PMID 32560717›Full record

ArticleBMC public health2020

HIV epidemic and cascade of care in 12 east African rural fishing communities: results from a population-based survey in Uganda.

J Burgos-Soto, J Ben Farhat, I Alley, P Ojuka, E Mulogo, T Kise-Sete, M Bouhenia, L Salumu, R Mathela, C Langendorf and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 4 pooled it
0.4field-weighted citation impact, top 24% 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

23 citing papers in PubMed, 4 syntheses or guidelines pooled it, 37 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

12 authors at 6 institutions in 3 countries.

J Burgos-SotoEpicentre, 14-34 Avenue Jean Jaures, 75019, Paris, France.
J Ben FarhatEpicentre, 14-34 Avenue Jean Jaures, 75019, Paris, France.
I AlleyEpicentre, 14-34 Avenue Jean Jaures, 75019, Paris, France.
P OjukaEpicentre, Mbarara, Uganda.
E MulogoMbarara University of Science and Technology, Mbarara, Uganda.
T Kise-SeteMinistry of Health of Uganda, Rubirizi, Uganda.
M BouheniaEpicentre, 14-34 Avenue Jean Jaures, 75019, Paris, France.
L SalumuMédecins sans Frontières, Paris, France.
R MathelaMedecins sans Frontières, Kampala, Uganda.
C LangendorfEpicentre, 14-34 Avenue Jean Jaures, 75019, Paris, France.
S CohuetEpicentre, 14-34 Avenue Jean Jaures, 75019, Paris, France.
H HuergaEpicentre, 14-34 Avenue Jean Jaures, 75019, Paris, France. helena.huerga@epicentre.msf.org.ORCID http://orcid.org/0000-0003-0302-9063
Epicentre (South Africa) · ZAEpicentre Uganda · UGMbarara University of Science and Technology · UGMédecins Sans Frontières · UGMédecins Sans Frontières · FRMinistry of Health · UG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn East Africa, fishing communities are considered most-at-risk populations for the acquisition of HIV. We estimated HIV prevalence and assessed progress towards the UNAIDS 90-90-90 targets along the HIV treatment cascade in 12 fishing communities surrounding Lakes Edward and George, Uganda.

methodsWe conducted a cross-sectional household-based survey between September and November 2016. All adults between 15 and 69 years old were eligible to participate. Children below 15 years old were eligible for HIV testing if either parent was HIV-positive. Viral load testing was done for all HIV-infected individuals. Logistic regression models adjusted for sociodemographic-behavioral variables were used to assess the association between occupation and HIV positivity.

resultsOverall, 1738 adults (959 women, 779 men) and 148 children were included. Adult inclusion rate was 96.0%. Of the men, 58% reported to be fishermen. The HIV-prevalence among adults was 17.5% (95%CI: 15.8-19.4) and 6.1% (95%CI: 3.1-11.4) among HIV-exposed children. HIV prevalence was higher among women than among men (20.9% vs. 13.5%, p < 0.001). Among men, fishermen had a higher HIV prevalence (18.7%; 95%CI: 15.1-22.3) and a higher risk of being HIV-positive (aOR: 4.2; 95%CI: 2.0-9.1) than men of other occupations (p < 0.001). Progress towards the UNAIDS 90-90-90 targets was as follows: 86.5% (95%CI: 82.3-90.1%) of the HIV-positive participants were diagnosed, 98.7% (95%CI: 96.1-99.6%) of those aware were on antiretroviral therapy (ART), and 87.3% (95%CI: 82.3-91.0%) of those on ART were virally suppressed. Overall, 73% of all HIV-positive individuals were virally suppressed. Viral suppression was lower among individuals 15-24 years (45.5%) than among those 25-44 years (74.0%) and 45-69 years (85.0%), p < 0.001. Fishermen did not to have significant differences in the HIV cascade of care compared to men with other occupations.

conclusionsHIV prevalence was high in these fishing communities, particularly among women and fishermen. Important progress has been made along the HIV treatment cascade, and the UNAIDS goal for viral suppression in population was achieved. However, gaps remain and HIV care strategies focusing on young people are urgently needed. HIV preventive interventions should target particularly women, young people and fishermen though HIV preventive and care services should remain available to the whole fishing communities.

Indexed as

EpidemicsAdolescentAdultAgedBlack PeopleChildCross-Sectional StudiesFamily CharacteristicsFemaleHIVHIV InfectionsHumansLogistic ModelsMaleMiddle AgedOccupationsAfricaAntiretroviral therapyCascade of careCommunitiesDiagnosisEpidemicFishingHIVViral suppression

Identifiers

PMID32560717
PMCPMC7305611
OpenAlexW3036709337

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.