Evidence map›Paper›PMID 28291049›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2017

Social Disequilibrium and the Risk of HIV Acquisition: A Multilevel Study in Rural KwaZulu-Natal Province, South Africa.

Andrew Tomita, Alain M Vandormael, Till Bärnighausen, Tulio de Oliveira, Frank Tanser

Open access · hybridAbstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

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  7. SAHCS 2021 Conference Summary.Southern African journal of HIV medicine · 2022
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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

5 authors at 4 institutions in 3 countries.

Andrew Tomita*College of Health Sciences, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Congella, South Africa; †Africa Health Research Institute, University of KwaZulu-Natal, Congella, South Africa; ‡Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA; §Institute for Public Health, University of Heidelberg, Heidelberg, Germany; ‖Centre for the AIDS Programme of Research in South Africa (CAPRISA), Congella, South Africa; and ¶School of Nursing and Public Health, University of KwaZulu-Natal, Congella, South Africa.
Alain M Vandormael
Till Bärnighausen
Tulio de Oliveira
Frank Tanser
Africa Health Research Institute · ZACentre for the AIDS Programme of Research in South Africa · ZAHeidelberg University · DEUniversity of KwaZulu-Natal · ZA

Funding

Causal Pathways to population health impact of HIV antiretroviral treatmentR01HD084233 · NICHD · UNIVERSITY OF KWAZULU-NATAL · PI BARNIGHAUSEN, TILL, TANSER, FRANK COURTENEY · 2015 to 2021
$2.3M
Can HIV Hot-Spots be eradicated? An intervention to decrease HIV transmission to young women in rural KwaZulu-Natal South AfricaR01AI124389 · NIAID · UNIVERSITY OF KWAZULU-NATAL · PI BARNIGHAUSEN, TILL, TANSER, FRANK COURTENEY · 2016 to 2020
$2.1M
NIAID NIH HHS R01 AI124389NICHD NIH HHS R01 HD084233Wellcome Trust
6 · The paper itself

Abstract

backgroundFew population-based multilevel studies have quantified the risks that social context poses in rural communities with high HIV incidence across South Africa. We investigated the individual, social, and community challenges to HIV acquisition risk in areas with high and low incidence of HIV infection (hotspots/coldspots).

methodsThe cohort (N = 17,376) included all HIV-negative adults enrolled in a population-based HIV surveillance study from 2004 to 2015 in a rural South African community with large labor migrancy. Multilevel survival models were fitted to examine the social determinants (ie, neighborhood migration intensity), community traits (ie, HIV prevalence), and individual determinants of HIV acquisition risk in identified hotspots/coldspots.

resultsThe HIV acquisition risk (adjusted hazard ratio [aHR] = 1.05, 95% confidence interval [CI]: 1.01 to 1.09) was greater in hotspots with higher neighborhood migration intensity among men. In women, higher neighborhood migration intensity (aHR = 1.02, 95% CI: 1.01 to 1.02) was associated with a greater HIV acquisition risk, irrespective of whether they lived in hotspot/coldspot communities. HIV acquisition risk was greater in communities with a higher prevalence of HIV in both men (aHR = 1.07, 95% CI: 1.03 to 1.12) and women (aHR = 1.03, 95% CI: 1.01 to 1.05), irrespective of hotspot/coldspot locations.

conclusionHIV acquisition risk was strongly influenced by gender (ie, young women), behavior (ie, sexual debut, contraception, circumcision), and social determinants. Certain challenges (ie, community disease prevalence) for HIV acquisition risk impacted both sexes, regardless of residence in hotspot/coldspot communities, whereas social determinants (ie, neighborhood migration intensity) were pronounced in hotspots among men. Future intervention scale-up requires addressing the social context that contributes to HIV acquisition risk in rural areas with high migration.

Indexed as

Black PeopleRural PopulationAdolescentAdultFemaleHealth Knowledge, Attitudes, PracticeHIV InfectionsHumansMaleMultilevel AnalysisPrevalenceRisk FactorsSexual BehaviorSexual PartnersSocial EnvironmentSouth Africa

Identifiers

PMID28291049
PMCPMC5429974
OpenAlexW2602294210

What OpenQuestion holds

Textmetadata
LicenceTDM
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.