Evidence map›Paper›PMID 36962341›Full record

ArticlePLOS global public health2022

The role of high-risk geographies in the perpetuation of the HIV epidemic in rural South Africa: A spatial molecular epidemiology study.

Diego F Cuadros, Tulio de Oliveira, Tiago Gräf, Dennis M Junqueira, Eduan Wilkinson, Philippe Lemey, Till Bärnighausen, Hae-Young Kim, Frank Tanser

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Article in PLOS global public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. 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

9 authors.

Diego F CuadrosDepartment of Geography and Geographic Information Science, University of Cincinnati, Cincinnati, OH, United States of America.ORCID https://orcid.org/0000-0001-7060-4203
Tulio de OliveiraKwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa.
Tiago GräfKwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa.ORCID https://orcid.org/0000-0003-4921-7975
Dennis M JunqueiraKwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa.ORCID https://orcid.org/0000-0003-1576-484X
Eduan WilkinsonKwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa.ORCID https://orcid.org/0000-0002-2503-9441
Philippe LemeyDepartment of Microbiology and Immunology, Rega Institute for Medical Research, University of Leuven, Leuven, Belgium.ORCID https://orcid.org/0000-0003-2826-5353
Till BärnighausenAfrica Health Research Institute, University of KwaZulu-Natal, Durban, South Africa.ORCID https://orcid.org/0000-0002-4182-4212
Hae-Young KimAfrica Health Research Institute, University of KwaZulu-Natal, Durban, South Africa.ORCID https://orcid.org/0000-0002-5124-1555
Frank TanserAfrica Health Research Institute, University of KwaZulu-Natal, Durban, South Africa.ORCID https://orcid.org/0000-0001-9797-0000

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
Quantification of patterns of multimorbidity to develop effective and efficient models of HIV, TB and NCD co-care in rural South AfricaR21TW011687 · FIC · KWAZULU-NATAL RESEARCH INSTITUTE TB-HIV · PI TANSER, FRANK COURTENEY, WONG, EMILY BETH · 2020 to 2021
$347k
FIC NIH HHS R21 TW011687NIAID NIH HHS R01 AI124389NICHD NIH HHS R01 HD084233Wellcome Trust
6 · The paper itself

Abstract

In this study, we hypothesize that HIV geographical clusters (geospatial areas with significantly higher numbers of HIV positive individuals) can behave as the highly connected nodes in the transmission network. Using data come from one of the most comprehensive demographic surveillance systems in Africa, we found that more than 70% of the HIV transmission links identified were directly connected to an HIV geographical cluster located in a peri-urban area. Moreover, we identified a single central large community of highly connected nodes located within the HIV cluster. This module was composed by nodes highly connected among them, forming a central structure of the network that was also connected with the small sparser modules located outside of the HIV geographical cluster. Our study supports the evidence of the high level of connectivity between HIV geographical high-risk populations and the entire community.

Identifiers

PMID36962341
PMCPMC10021703

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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.