ArticlePloS one2021
Spatial-temporal clustering of notified pulmonary tuberculosis and its predictors in East Gojjam Zone, Northwest Ethiopia.
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 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 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
- Diagnostic performance of Xpert® MTB/RIF Ultra among smear-negative pulmonary tuberculosis cases in southwestern Oromia, Ethiopia.IJID regions · 2026Article
- Social determinants of abdominal tuberculosis severity: An experience from a large tertiary care center.Pakistan journal of medical sciences · 2026Article
- Spatiotemporal patterns, associated factors, and forecasting of pulmonary tuberculosis: a 19-year township-level case study in Zigong City, China.BMC public health · 2026Article
- Spatial neighborhood patterns of pulmonary tuberculosis in a large urban area: the case of Santiago, Chile.Scientific reports · 2026Article
- Spatial heterogenicity of tuberculosis and dengue in Nepal.Scientific reports · 2025Article
- Spatiotemporal distribution and detection of spatial clusters of tuberculosis in Hubei Province, China using FleXScan (2017-2023).BMC public health · 2025Article
- Joint spatiotemporal modelling of tuberculosis and human immunodeficiency virus in Ethiopia using a Bayesian hierarchical approach.BMC public health · 2025Article
- Geospatial analysis of tuberculosis incidence in relation to socio-economic and environmental indicators in Romania.Frontiers in public health · 2025Article
- Spatial and temporal analysis and forecasting of TB reported incidence in western China.BMC public health · 2024Article
- Factors affecting the incidence of pulmonary tuberculosis based on the GTWR model in China, 2004-2021.Epidemiology and infection · 2024Article
- Social protection in areas vulnerable to tuberculosis: a mixed methods study in São Luís, Maranhão.Revista brasileira de enfermagem · 2024Article
- Spatiotemporal Distribution of Tuberculosis in the Oromia Region of Ethiopia: A Hotspot Analysis.Tropical medicine and infectious disease · 2023Article
- 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
- Five-year trend analysis of tuberculosis in Bahir Dar, Northwest Ethiopia, 2015-2019.International journal of mycobacteriologyArticle
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3 authors.
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Abstract
backgroundTuberculosis (TB) remains a key health menace in Ethiopia and its districts. This study aimed to assess the spatial-temporal clustering of notified pulmonary TB (PTB) cases in East Gojjam Zone, Northwest Ethiopia.
methodsA retrospective study was conducted among all PTB cases reported from 2013-2019. Case notification rates (CNRs) of PTB cases at Kebele (the lowest administrative unit), woreda, and zone levels were estimated. The PTB clustering was done using global Moran's I statistics on Arc GIS 10.6. We used Kulldorff SaTScan 9.6 with a discrete Poisson model to identify statistically significant spatial-temporal clustering of PTB cases at Kebele level. Similarly, a negative binomial regression analysis was used to identify factors associated with the incidence of PTB cases at kebele level.
resultsA total of 5340 (52%) smear-positive and 4928 (48%) smear-negative PTB cases were analyzed. The overall mean CNR of PTB cases at zone, woreda and Kebele levels were 58(47-69), 82(56-204), and 69(36-347) per 100,000 population, respectively. The purely spatial cluster analysis identified eight most likely clusters (one for overall and one per year for seven reporting years) and 47 secondary clusters. Similarly, the space-time scan analysis identified one most likely and seven secondary clusters. The purely temporal analysis also detected one most likely cluster from 2013-2015. Rural residence, distance from the nearest health facility, and poor TB service readiness were factors (p-value <0.05) to PTB incidence at kebele level.
conclusionThe distribution of PTB cases was clustered. The PTB CNR was low and showed a decreasing trend during the reporting periods. Rural residence, distance from the health facilities, and poor facility readiness were factors of PTB incidence. Improving accessibility and readiness of health facilities mainly to rural and hotspot areas is vital to increase case detection and reduce TB transmission.
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