Evidence map›Paper›PMID 36962292›Full record

ArticlePLOS global public health2022

The geography and inter-community configuration of new sexual partnership formation in a rural South African population over fourteen years (2003-2016).

Hae-Young Kim, Diego Cuadros, Eduan Wilkinson, Dennis M Junqueira, Tulio de Oliveira, 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Hae-Young KimDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, United States of America.ORCID https://orcid.org/0000-0002-5124-1555
Diego CuadrosDepartment of Geography and Geographic Information Science, University of Cincinnati, Cincinnati, OH, United States of America.ORCID https://orcid.org/0000-0001-7060-4203
Eduan WilkinsonKwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), KwaZulu-Natal, Durban, South Africa.ORCID https://orcid.org/0000-0002-2503-9441
Dennis M JunqueiraKwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), KwaZulu-Natal, Durban, South Africa.ORCID https://orcid.org/0000-0003-1576-484X
Tulio de OliveiraKwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), KwaZulu-Natal, Durban, South Africa.ORCID https://orcid.org/0000-0002-3027-5254
Frank TanserAfrica Health Research Institute, 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

Understanding spatial configuration of sexual network structure is critical for effective use of HIV preventative interventions in a community. However, this has never been described at the population level for any setting in sub-Saharan Africa. We constructed the comprehensive geospatial sexual network among new heterosexual partnerships in rural KwaZulu-Natal, South Africa. In the Africa Health Research Institute (AHRI)'s population-based surveillance, we identified stable sexual partnerships among individuals (≥15 years) from 2003 to 2016. Sexual partnerships and residency were recorded via household surveys (every 4-6 months). We geolocated residents and migration events and mapped the geospatial linkages of sexual partners at the start of sexual partnerships. In a grid composed by 108 cells (nodes; 3kmx3km per cell) covering the surveillance area (438km2), we calculated the degree of connectivity and centrality of the nodes and examined their association with HIV prevalence and incidence per cell. Of 2401 new sexual partnerships, 21% (n = 495) had both partners living within the surveillance area at the start of sexual partnerships, and 76% (376/495) were linked to the geographic HIV cluster with high HIV prevalence identified in a peri-urban community. Overall, 57 nodes had at least one connection to another node. The nodes in the peri-urban cluster had higher connectivity (mean = 19, range: 9-32), compared to outside the cluster (6, range: 1-16). The node's degree of connectivity was positively associated with HIV prevalence of the cell (Pearson correlation coefficient = 0.67; p <0.005). The peri-urban cluster contained nine of the 10 nodes that composed of a single large central module in the community. About 17% of sexual partnerships (n = 421) were formed between a resident and a non-resident partner who out-migrated. Most of these non-resident partners lived in KwaZulu-Natal (86.7%), followed by Gauteng (9.7%), and the median distance between a resident and a non-resident partner was 50.1km (IQR: 23.2-177.2). We found that the peri-urban HIV cluster served as the highly connected central node of the network for sexual partnership formation. The network was also connected beyond the surveillance area across South Africa. Understanding spatial sexual network can improve the provision of spatially targeted and effective interventions.

Identifiers

PMID36962292
PMCPMC10022024

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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.