ArticlePloS one2021
Spatial patterns of pulmonary tuberculosis (TB) cases in Zimbabwe from 2015 to 2018.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis 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
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Geo-spatial high-risk clusters of Tuberculosis in the global general population: a systematic review.BMC public health · 2023Pooled it
- Risk Factors, Distribution Patterns, and Their Implications for Environmentally Based Tuberculosis Transmission Risk Control Strategies.International journal of environmental research and public health · 2026Article
- Spatial neighborhood patterns of pulmonary tuberculosis in a large urban area: the case of Santiago, Chile.Scientific reports · 2026Article
- Geospatial analysis of shared risks for tuberculosis transmission in an urban cohort.Scientific reports · 2025Article
- Prevalence and Correlates of Hyperglycemia Among People Living With HIV and TB on Dolutegravir-Based Antiretroviral Therapy in Zimbabwe: A Cross-Sectional Study.Health science reports · 2025Article
- Spatiotemporal distribution and detection of spatial clusters of tuberculosis in Hubei Province, China using FleXScan (2017-2023).BMC public health · 2025Article
- Article
- Self-reported prevalence of tuberculosis: unveiling spatial representation in the districts of Tamil Nadu.International health · 2025Article
- Accessibility of TB diagnostic services at primary healthcare clinics in the eThekwini district, South Africa: a geospatial analysis.BMJ open · 2024Article
- Environmental exposures associated with atopy in a rural community in Gwanda district, Zimbabwe: a cross-sectional study.Frontiers in public health · 2024Article
- Spatial Distribution of Drug-ResistantPathogens (Basel, Switzerland) · 2023Article
- Silicosis, tuberculosis and silica exposure among artisanal and small-scale miners: A systematic review and modelling paper.PLOS global public health · 2023Article
- The Triple Burden of Tuberculosis, Human Immunodeficiency Virus and Silicosis among Artisanal and Small-Scale Miners in Zimbabwe.International journal of environmental research and public health · 2022Article
- Investigating Spatial Patterns of Pulmonary Tuberculosis and Main Related Factors in Bandar Lampung, Indonesia Using Geographically Weighted Poisson Regression.Tropical medicine and infectious disease · 2022Article
- Article
- Dynamics ofPathogens (Basel, Switzerland) · 2022Article
- A geospatial platform to support visualization, analysis, and prediction of tuberculosis notification in space and time.Frontiers in public health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionAccurate mapping of spatial heterogeneity in tuberculosis (TB) cases is critical for achieving high impact control as well as guide resource allocation in most developing countries. The main aim of this study was to explore the spatial patterns of TB occurrence at district level in Zimbabwe from 2015 to 2018 using GIS and spatial statistics as a preamble to identifying areas with elevated risk for prioritisation of control and intervention measures.
methodsIn this study Getis-Ord Gi* statistics together with SaTscan were used to characterise TB hotspots and clusters in Zimbabwe at district level from 2015 to 2018. GIS software was used to map and visualise the results of cluster analysis.
resultsResults show that TB occurrence exhibits spatial heterogeneity across the country. The TB hotspots were detected in the central, western and southern part of the country. These areas are characterised by artisanal mining activities as well as high poverty levels. CONCLUSIONS AND RECOMMENDATIONS: Results of this study are useful to guide TB control programs and design effective strategies which are important in achieving the United Nations Sustainable Development goals (UNSDGs).
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.