ArticleBMC research notes2024
The identification and spatial distribution of hotspots of tuberculosis occurrence in South Africa.
Article in BMC research notes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- A retrospective analysis of tuberculosis notification trends and spatial distribution in South Africa, 2005-2012.Discover public health · 2026Article
- Molecular Epidemiology of Mycobacterium tuberculosis Across 3 Distinct Geographic Sites in South Africa.The Journal of infectious diseases · 2025Article
- Undiagnosed burden of latent tuberculosis, active tuberculosis and tuberculosis-HIV co-infections in Africa-status quo, needs, priorities, and opportunities.IJID regions · 2025Review
- Geographic mapping and spatiotemporal patterns of tuberculosis in Libya within ten years' period (2015 to 2024).Frontiers in epidemiology · 2025Article
- Precision geospatial targeting for cost-effective tuberculosis case finding in Eastern Uganda: a quasi-experimental study.Therapeutic advances in infectious diseaseArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivePrior research has shown strong evidence of spatial clustering of tuberculosis across a range of contexts. Identifying the spatial patterning of infectious diseases such as tuberculosis is crucial as it allows for targeted intervention strategies, directing healthcare resources efficiently to areas where tuberculosis incidence is concentrated. This is especially true for low- and middle-income countries that typically experience greater resource constraints relative to their Global North counterparts. In this study, we extend existing literature by investigating the spatial patterning of tuberculosis among vulnerable communities in South Africa, notably in the relatively under-researched provinces of the North-West and Gauteng.
resultsData 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.