Evidence map›Paper›PMID 33883186›Full record

ArticleBMJ global health2021

Beyond HIV prevalence: identifying people living with HIV within underserved areas in South Africa.

Hana Kim, Frank Tanser, Andrew Tomita, Alain Vandormael, Diego F Cuadros

Abstract read
In one paragraph

Article in BMJ global health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 pooled it
–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

43 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  12. A comparative analysis of voluntary medical male circumcision before and during the COVID-19 pandemic in Gauteng province, South Africa.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2025
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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.

Hana KimDepartment of Geography and Geographic Information Science, University of Cincinnati, Cincinnati, Ohio, USA.
Frank TanserLincoln International Institute for Rural Health, University of Lincoln, Lincoln, UK.
Andrew TomitaCentre for Rural Health, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa.
Alain VandormaelHeidelberg Institute of Global Health (HIGH), Medical Faculty, Heidelberg University, Heidelberg, Germany.
Diego F CuadrosDepartment of Geography and Geographic Information Science, University of Cincinnati, Cincinnati, Ohio, USA diego.cuadros@uc.edu.ORCID 0000-0001-7060-4203

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
Medical Research Council MR/T029803/1NIAID NIH HHS R01 AI124389NICHD NIH HHS R01 HD084233
6 · The paper itself

Abstract

introductionDespite progress towards the Joint United Nations Programme on HIV/AIDS 95-95-95 targets, South Africa is still suffering from one of the largest HIV epidemics globally. In this study, we generated high-resolution HIV prevalence maps and identified people living with HIV (PLHIV) in underserved areas to provide essential information for the optimal allocation of HIV-related services.

methodsThe data come from the South Africa Demographic and Health Survey conducted in 2016 and spatial variables from other published literature. We produced high-resolution maps of HIV prevalence and underserved areas, defined as a greater than 30 min travel time to the nearest healthcare facility. Using these maps and the population density, we mapped PLHIV and the PLHIV within underserved areas for 30, 60 and 120 min thresholds.

resultsThere was substantial geographic variation in HIV prevalence, ranging from 1.4% to 24.2%, with a median of 11.5% for men, and from 2.1% to 48.1%, with a median of 20.6% for women. Gauteng province showed the highest density for both HIV prevalence and PLHIV. 80% of all areas in the country were identified as underserved areas (30 min threshold), which contained more than 16% and 20% of the total men and women living with HIV, respectively. KwaZulu-Natal province had the largest number of PLHIV in underserved areas (30 min threshold) and showed less than one healthcare facility per 1000 PLHIV.

conclusionOur study showed extensive spatial variation of HIV prevalence and significant numbers of PLHIV in underserved areas in South Africa. Moreover, we identified locations where HIV-related services need to be intensified to reach the ~1.5 million PLHIV in underserved areas, particularly in KwaZulu-Natal province, with less than one healthcare facility per 1000 PLHIV.

Indexed as

HIV InfectionsMedically Underserved AreaFemaleHumansMalePrevalenceSouth AfricaTravelcross-sectional surveyepidemiologyhealth services researchHIVpublic health

Identifiers

PMID33883186
PMCPMC8061852

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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.