ArticleBMC medicine2018
Small contribution of gold mines to the ongoing tuberculosis epidemic in South Africa: a modeling-based study.
Article in BMC medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers, 3 of them syntheses that pooled 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.
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
11 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Agent-based modelling of Mycobacterium tuberculosis transmission: a systematic review.BMC infectious diseases · 2024Pooled it
- The association between silica exposure, silicosis and tuberculosis: a systematic review and meta-analysis.BMC public health · 2021Pooled it
- Calibration of individual-based models to epidemiological data: A systematic review.PLoS computational biology · 2020Pooled it
- A retrospective analysis of tuberculosis notification trends and spatial distribution in South Africa, 2005-2012.Discover public health · 2026Article
- Determinants of tuberculosis presentation and successful treatment outcome among tuberculosis patients in Geita, Tanzania.PloS one · 2026Article
- Tuberculosis treatment adherence and associated factors in the Butha-Buthe district, Lesotho: a retrospective cohort study.The Pan African medical journal · 2025Article
- Evaluating determinants of treatment outcomes among tuberculosis patients in the mining district of Butha Buthe, Lesotho.IJID regions · 2023Article
- Prevalence and factors associated with tuberculosis among the mining communities in Mererani, Tanzania.PloS one · 2023Article
- Tuberculosis attributed to transmission within healthcare facilities, Botswana-The Kopanyo Study.Infection control and hospital epidemiology · 2022Article
- Establishing the cost of Xpert MTB/RIF mobile testing in high-burden peri-mining communities in South Africa.African journal of laboratory medicine · 2021Article
- Correction to: Small contribution of gold mines to the ongoing tuberculosis epidemic in South Africa: a modeling-based study.BMC medicine · 2018Article
Corrections and comments
- Erratum issued
Authors and funding
9 authors.
Funding
Abstract
backgroundGold mines represent a potential hotspot for Mycobacterium tuberculosis (Mtb) transmission and may be exacerbating the tuberculosis (TB) epidemic in South Africa. However, the presence of multiple factors complicates estimation of the mining contribution to the TB burden in South Africa.
methodsWe developed two models of TB in South Africa, a static risk model and an individual-based model that accounts for longer-term trends. Both models account for four populations - mine workers, peri-mining residents, labor-sending residents, and other residents of South Africa - including the size and prevalence of latent TB infection, active TB, and HIV of each population and mixing between populations. We calibrated to mine- and country-level data and used the static model to estimate force of infection (FOI) and new infections attributable to local residents in each community compared to other residents. Using the individual-based model, we simulated a counterfactual scenario to estimate the fraction of overall TB incidence in South Africa attributable to recent transmission in mines.
resultsWe estimated that the majority of FOI in each community is attributable to local residents: 93.9% (95% confidence interval 92.4-95.1%), 91.5% (91.4-91.5%), and 94.7% (94.7-94.7%) in gold mining, peri-mining, and labor-sending communities, respectively. Assuming a higher rate of Mtb transmission in mines, 4.1% (2.6-5.8%), 5.0% (4.5-5.5%), and 9.0% (8.8-9.1%) of new infections in South Africa are attributable to gold mine workers, peri-mining residents, and labor-sending residents, respectively. Therefore, mine workers with TB disease, who constitute ~ 2.5% of the prevalent TB cases in South Africa, contribute 1.62 (1.04-2.30) times as many new infections as TB cases in South Africa on average. By modeling TB on a longer time scale, we estimate 63.0% (58.5-67.7%) of incident TB disease in gold mining communities to be attributable to recent transmission, of which 92.5% (92.1-92.9%) is attributable to local transmission.
conclusionsGold mine workers are estimated to contribute a disproportionately large number of Mtb infections in South Africa on a per-capita basis. However, mine workers contribute only a small fraction of overall Mtb infections in South Africa. Our results suggest that curtailing transmission in mines may have limited impact at the country level, despite potentially significant impact at the mining level.
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.