Evidence map›Paper›PMID 37781137›Full record

ArticleJournal of multimorbidity and comorbidity

Geospatial assessment of the convergence of communicable and non-communicable diseases in South Africa.

Diego F Cuadros, Claudia M Moreno, Andrew Tomita, Urisha Singh, Stephen Olivier, Alison Castle, Yumna Moosa, Johnathan A Edwards, Hae-Young Kim, Mark J Siedner and 2 more

Abstract read
In one paragraph

Article in Journal of multimorbidity and comorbidity. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Observational
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
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.

Diego F CuadrosDigital Epidemiology Laboratory, Digital Futures, University of Cincinnati, Cincinnati, OH, USA.ORCID https://orcid.org/0000-0001-7060-4203
Claudia M MorenoHoward Hughes Medical Institute, Department of Physiology and Biophysics, University of Washington School of Medicine, Seattle, WA, USA.
Andrew TomitaCentre for Rural Health, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa.
Urisha SinghClinical Research Department, Africa Health Research Institute, KwaZulu-Natal, South Africa.
Stephen OlivierClinical Research Department, Africa Health Research Institute, KwaZulu-Natal, South Africa.
Alison CastleClinical Research Department, Africa Health Research Institute, KwaZulu-Natal, South Africa.
Yumna MoosaKwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa.
Johnathan A EdwardsInternational Institute for Rural Health, University of Lincoln, Lincolnshire, UK.
Hae-Young KimDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Mark J SiednerClinical Research Department, Africa Health Research Institute, KwaZulu-Natal, South Africa.
Emily B WongClinical Research Department, Africa Health Research Institute, KwaZulu-Natal, South Africa.
Frank TanserCentre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.

Funding

Partnership for Global Health Research Training Program (Renewal)-Supplement for OBSSR, NCI, NCI-AIDS and NIDCDD43TW010543 · FIC · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Wafaie W Fawzi, DAVIDSON HOWES HAMER · 2017 to 2026
$12.1M
PROGRAM FOR AIDS CLINICAL RESEARCH TRAINING (PACRT)T32AI007433 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI MARK J SIEDNER · 1992 to 2026
$11.4M
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
The changing face of HIV in the era of COVID-19: Maximising HIV incidence reduction through dynamic targeting of current and future distributions of acquisition risk.R01MH131480 · NIMH · STELLENBOSCH UNIVERSITY · PI Henry Godwell Mwambi, Frank Courteney Tanser · 2023 to 2026
$2.0M
Mentoring patient-oriented research to improve cardiovascular health among people with HIV in sub-Saharan AfricaK24HL166024 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI MARK J SIEDNER · 2022 to 2026
$616k
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 D43 TW010543FIC NIH HHS R21 TW011687NHLBI NIH HHS K24 HL166024NIAID NIH HHS R01 AI124389NIAID NIH HHS T32 AI007433NIMH NIH HHS R01 MH131480
6 · The paper itself

Abstract

Introduction: Several low-and middle-income countries are undergoing rapid epidemiological transition with a rising burden of non-communicable diseases (NCDs). South Africa (SA) is a country with one of the largest HIV epidemics worldwide and a growing burden of NCDs where the collision of these epidemics poses a major public health challenge. Methods: Using data from a large nationally representative survey, the South Africa Demographic and Health Survey (SADHS 2016), we conducted a geospatial analysis of several diseases including HIV, tuberculosis (TB), cardiovascular, respiratory, and metabolic diseases to identify areas with a high burden of co-morbidity within the country. We explored the spatial structure of each disease and associations between diseases using different spatial and visual data methodologies. We also assessed the individual level co-occurrence of HIV and the other diseases included in the analysis. Results: The spatial distribution for HIV prevalence showed that this epidemic is most intense in the eastern region of the country, mostly within the Gauteng, Mpumalanga, and Kwazulu-Natal provinces. In contrast, chronic diseases had their highest prevalence rates the southern region of the country, particularly in the Eastern and Western Cape provinces. Individual-level analyses were consistent with the spatial correlations and found no statistically significant associations between HIV infection and the presence of any NCDs. Conclusions: We found no evidence of geospatial overlap between the HIV epidemic and NCDs in SA. These results evidence the complex epidemiological landscape of the country, characterized by geographically distinct areas exhibiting different health burdens. The detailed description of the heterogenous prevalence of HIV and NCDs in SA reported in this study could be a useful tool to inform and direct policies to enhance targeted health service delivery according to the local health needs of each community.

Indexed as

HIVMultimorbiditynoncommunicable diseasesSouth Africaspatial epidemiology

Identifiers

PMID37781137
PMCPMC10540575

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.