Spatiotemporal distribution and detection of spatial clusters of tuberculosis in Hubei Province, China using FleXScan (2017–2023)
Abstract Background This study investigates the spatiotemporal distribution and spatial clustering of tuberculosis(TB) in 103 counties of Hubei Province, China, using spatial scan statistics. By identifying high-risk areas and temporal trends, the findings will provide a scientific foundation for ta...
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BMC
2025-08-01
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| Series: | BMC Public Health |
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| Online Access: | https://doi.org/10.1186/s12889-025-23620-4 |
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| author | Lina Wang Yaru Li Ji Chen Danfei Zhang Zhengbin Zhang Xiang Li |
| author_facet | Lina Wang Yaru Li Ji Chen Danfei Zhang Zhengbin Zhang Xiang Li |
| author_sort | Lina Wang |
| collection | DOAJ |
| description | Abstract Background This study investigates the spatiotemporal distribution and spatial clustering of tuberculosis(TB) in 103 counties of Hubei Province, China, using spatial scan statistics. By identifying high-risk areas and temporal trends, the findings will provide a scientific foundation for targeted TB prevention and control strategies. Methods This study employed the FleXScan method to detect spatial clusters of pulmonary tuberculosis cases in Hubei Province and identify statistically significant high-risk areas. Combined with Geographic Information System (GIS) spatial analysis techniques, we visualized the spatiotemporal distribution patterns and dynamic changes of these high-risk tuberculosis clusters. Results Between 2017 and 2023, the incidence rate of Hubei Province decreased from 68.28 to 54.54 per 100,000 population. Using the FleXScan method, significant spatial clustering of TB cases was identified. The most likely clusters (MLCs) were primarily located in the western and southwestern regions, including Enshi Prefecture, the Shennongjia Forestry District, and parts of Yichang City. Notably, Enshi Prefecture maintained a persistently high average annual incidence of 110.78 per 100,000 with no significant temporal decline, highlighting the urgent need for targeted prevention and control measures. Conclusion TB in Hubei Province exhibits significant spatiotemporal heterogeneity. Its epidemiology is influenced by multiple factors, including economic conditions, geographical environment, healthcare access, and social determinants. Control strategies should take into account differences both between regions and within individual regions to accurately identify high-risk areas. |
| format | Article |
| id | doaj-art-3d01de7c087a470f8d5e03265cc0d78b |
| institution | Kabale University |
| issn | 1471-2458 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | BMC |
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| series | BMC Public Health |
| spelling | doaj-art-3d01de7c087a470f8d5e03265cc0d78b2025-08-20T03:46:12ZengBMCBMC Public Health1471-24582025-08-0125111210.1186/s12889-025-23620-4Spatiotemporal distribution and detection of spatial clusters of tuberculosis in Hubei Province, China using FleXScan (2017–2023)Lina Wang0Yaru Li1Ji Chen2Danfei Zhang3Zhengbin Zhang4Xiang Li5School of Computer Science and Technology, Zhengzhou University of Light IndustrySchool of Computer Science and Technology, Zhengzhou University of Light IndustrySchool of Computer Science and Technology, Zhengzhou University of Light IndustryInstitute of Surveying and Mapping, Information Engineering UniversityTuberculosis Prevention and Control Office, Wuhan Pulmonary Hospital (Wuhan Institute for Tuberculosis Control)Institute of Surveying and Mapping, Information Engineering UniversityAbstract Background This study investigates the spatiotemporal distribution and spatial clustering of tuberculosis(TB) in 103 counties of Hubei Province, China, using spatial scan statistics. By identifying high-risk areas and temporal trends, the findings will provide a scientific foundation for targeted TB prevention and control strategies. Methods This study employed the FleXScan method to detect spatial clusters of pulmonary tuberculosis cases in Hubei Province and identify statistically significant high-risk areas. Combined with Geographic Information System (GIS) spatial analysis techniques, we visualized the spatiotemporal distribution patterns and dynamic changes of these high-risk tuberculosis clusters. Results Between 2017 and 2023, the incidence rate of Hubei Province decreased from 68.28 to 54.54 per 100,000 population. Using the FleXScan method, significant spatial clustering of TB cases was identified. The most likely clusters (MLCs) were primarily located in the western and southwestern regions, including Enshi Prefecture, the Shennongjia Forestry District, and parts of Yichang City. Notably, Enshi Prefecture maintained a persistently high average annual incidence of 110.78 per 100,000 with no significant temporal decline, highlighting the urgent need for targeted prevention and control measures. Conclusion TB in Hubei Province exhibits significant spatiotemporal heterogeneity. Its epidemiology is influenced by multiple factors, including economic conditions, geographical environment, healthcare access, and social determinants. Control strategies should take into account differences both between regions and within individual regions to accurately identify high-risk areas.https://doi.org/10.1186/s12889-025-23620-4TuberculosisSpatial clusteringSpatial scan statisticsFleXScanEpidemiological feature |
| spellingShingle | Lina Wang Yaru Li Ji Chen Danfei Zhang Zhengbin Zhang Xiang Li Spatiotemporal distribution and detection of spatial clusters of tuberculosis in Hubei Province, China using FleXScan (2017–2023) BMC Public Health Tuberculosis Spatial clustering Spatial scan statistics FleXScan Epidemiological feature |
| title | Spatiotemporal distribution and detection of spatial clusters of tuberculosis in Hubei Province, China using FleXScan (2017–2023) |
| title_full | Spatiotemporal distribution and detection of spatial clusters of tuberculosis in Hubei Province, China using FleXScan (2017–2023) |
| title_fullStr | Spatiotemporal distribution and detection of spatial clusters of tuberculosis in Hubei Province, China using FleXScan (2017–2023) |
| title_full_unstemmed | Spatiotemporal distribution and detection of spatial clusters of tuberculosis in Hubei Province, China using FleXScan (2017–2023) |
| title_short | Spatiotemporal distribution and detection of spatial clusters of tuberculosis in Hubei Province, China using FleXScan (2017–2023) |
| title_sort | spatiotemporal distribution and detection of spatial clusters of tuberculosis in hubei province china using flexscan 2017 2023 |
| topic | Tuberculosis Spatial clustering Spatial scan statistics FleXScan Epidemiological feature |
| url | https://doi.org/10.1186/s12889-025-23620-4 |
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