Evidence map›Paper›PMID 36047343›Full record

ArticleGeospatial health2022

Assessing spatial patterns of HIV prevalence and interventions in semi-urban settings in South Africa. Implications for spatially targeted interventions.

Lucy Chimoyi, Zvifadzo Matsena-Zingoni, Salome Charalambous, Edmore Marinda, Samuel Manda, Eustasius Musenge

Abstract read
In one paragraph

Article in Geospatial health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

6 authors.

Lucy ChimoyiImplementation Research Division, The Aurum Institute, Johannesburg; School of Public Health, University of the Witwatersrand, Johannesburg. lchimoyi@auruminstitute.org.
Zvifadzo Matsena-ZingoniSchool of Public Health, University of the Witwatersrand, Johannesburg. Zvifadzo.Matsenazingoni@wits.ac.za.
Salome CharalambousImplementation Research Division, The Aurum Institute, Johannesburg; School of Public Health, University of the Witwatersrand, Johannesburg. SCharalambous@auruminstitute.org.
Edmore MarindaSchool of Public Health, University of the Witwatersrand, Johannesburg; Human Sciences Research Council, Pretoria. EMarinda@hsrc.ac.za.
Samuel MandaBiostatistics Research Unit, South African Medical Research Council, Pretoria; Department of Statistics, University of Pretoria, Pretoria. Samuel.Manda@mrc.ac.za.
Eustasius MusengeSchool of Public Health, University of the Witwatersrand, Johannesburg. Eustasius.Musenge@wits.ac.za.

Funding

International Traineeships in AIDS Prevention Studies (ITAPS)R25MH123256 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHRISTINA P LINDAN · 2020 to 2026
$1.8M
NIMH NIH HHS R25 MH123256
6 · The paper itself

Abstract

Equitable allocation of resources targeting the human immunodeficiency virus (HIV) at the local level requires focusing interventions in areas of the greatest need. Understanding the geographical variation in the HIV epidemic and uptake of selected HIV prevention and treatment programmes are necessary to identify such areas. Individual-level HIV data were obtained from a 2012 national HIV survey in South Africa. Spatial regression models on each outcome measure (HIV infection, sub-optimal condom use or non-anti-retroviral treatment (ART) adjusted for spatial random effects at the ward level were fitted using WINBUGS software. In addition, ward-level data was utilized to estimate condom use coverage and ART initiation rates which were obtained from routinely collected data in 2012. Ordinary Kriging was used to produce smoothed maps of HIV infection, condom use coverage and ART initiation rates. HIV infection was associated with individuals undertaking tertiary education [posterior odds ratio (POR): 19.53; 95% credible intervals (CrI): 3.22- 84.93]. Sub-optimal condom use increased with age (POR: 1.09; 95%CrI: 1.06-1.11) and was associated with being married (POR: 4.14; 95%CrI: 1.23-4.28). Non-ART use was associated with being married (POR: 6.79; 95%CrI: 1.43-22.43). There were clusters with high HIV infection, sub-optimal condom use, and non- ART use in Ekurhuleni, an urban and semi-urban district in Gauteng province, South Africa. Findings show the need for expanding condom programmes and/or strengthening other HIV prevention programmes such as pre-exposure prophylaxis and encouraging sustained engagement in HIV care and treatment in the identified areas with the greatest need in Ekurhuleni Metropolitan Municipality.

Indexed as

EpidemicsHIV InfectionsHumansPrevalenceSouth AfricaSpatial Analysis

Identifiers

PMID36047343
PMCPMC9892013

What Socratic 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 Socratic graph.