The identification and spatial distribution of hotspots of tuberculosis occurrence in South Africa

Data for this study were collected from several locations implementing community-oriented primary care in the country. Community health workers used AitaHealth™, a custom-built mobile information management application, to obtain data on tuberculosis status and environmental conditions of households. We find notable clusters of tuberculosis in these provinces which we speculate could be associated with urban formal and informal settlement densification and overcrowding, the incidence of mining activities prevalent in sampled locations and poor access to healthcare.

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Publication Details

Journal
BMC Research Notes
Published
2024-12-19
DOI
https://doi.org/10.1186/s13104-024-07015-z
Citations
4
Primary Topic
Data-Driven Disease Surveillance
Type
article
Field-Weighted Citation Impact
1.55

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article

The identification and spatial distribution of hotspots of tuberculosis occurrence in South Africa

Caradee Y. Wright, Tessa S. Marcus, Thandi Kapwata, Gregory D. Breetzke
4 citations
BMC Research Notes
Data-Driven Disease Surveillance
1.55
article

The identification and spatial distribution of hotspots of tuberculosis occurrence in South Africa

Caradee Y. Wright, Tessa S. Marcus, Thandi Kapwata, Gregory D. Breetzke
article en
4 citations

Abstract

Data for this study were collected from several locations implementing community-oriented primary care in the country. Community health workers used AitaHealth™, a custom-built mobile information management application, to obtain data on tuberculosis status and environmental conditions of households. We find notable clusters of tuberculosis in these provinces which we speculate could be associated with urban formal and informal settlement densification and overcrowding, the incidence of mining activities prevalent in sampled locations and poor access to healthcare.

BMC Research NotesVol. 17(1)
South African Medical Research Council (ZA), University of Johannesburg (ZA), University of Pretoria (ZA)
South African Medical Research Council, University of Pretoria, Medical Research Council
No poverty
Openalex Percentile: Top 15%
Data-Driven Disease Surveillance
1.55
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