ArticleBMC public health2019
The characteristics of spatial-temporal distribution and cluster of tuberculosis in Yunnan Province, China, 2005-2018.
Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
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Who cites it
32 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
- Spatial neighborhood patterns of pulmonary tuberculosis in a large urban area: the case of Santiago, Chile.Scientific reports · 2026Article
- Impact of Drug-Resistant Tuberculosis Prevention and Control Strategies in Southeast China: Evidence from a Longitudinal Study on Disease Epidemic Trends and Predictions Across 15 Years.Infection and drug resistance · 2026Article
- Efficiency evaluation of Chinese Yunnan Province County Area Public Service for sports and fitness based on three-stage DEA model.PloS one · 2026Article
- Drug resistance patterns among tuberculosis patients at a tuberculosis designated hospital in Yunnan: a retrospective analysis of the 2013-2022 period.BMC infectious diseases · 2025Article
- Trends in epidemiological characteristics of pulmonary tuberculosis among children and youth in Chinese mainland from 2019 to 2024: analysis of national surveillance data.BMC public health · 2025Article
- Spatiotemporal distribution and detection of spatial clusters of tuberculosis in Hubei Province, China using FleXScan (2017-2023).BMC public health · 2025Article
- Comprehensive Spatial Investigation of Tuberculosis Dynamics and Affecting Factors in Şanlıurfa, Türkiye (2016-2023).GeoHealth · 2025Article
- Transmission characteristics of tuberculosis in the high-TB-burden region of Southwest China.Frontiers in public health · 2025Article
- Article
- Predicting the incidence of rifampicin resistant tuberculosis in Yunnan, China: a seasonal time series analysis based on routine surveillance data.BMC infectious diseases · 2024Article
- Factors Associated with Extended Hospital Stay and its Impact on Subsequent Short-term Readmission with Tuberculosis Patients.Archives of Iranian medicine · 2024Observational
- Spatial-temporal distribution characteristics of pulmonary tuberculosis in eastern China from 2011 to 2021.Epidemiology and infection · 2024Article
- Construction of ceRNA regulatory networks for active pulmonary tuberculosis.Scientific reports · 2024Article
- Changes in tuberculosis burden and its associated risk factors in Guizhou Province of China during 2006-2020: an observational study.BMC public health · 2024Observational
- Spatial-temporal analysis of hepatitis E in Hainan Province, China (2013-2022): insights from four major hospitals.Frontiers in public health · 2024Article
- Analysis of spatial characteristics and geographic weighted regression of tuberculosis prevalence in Kashgar, China.Preventive medicine reports · 2023Article
- Spatiotemporal distribution of schistosomiasis transmission risk in Jiangling County, Hubei Province, P.R. China.PLoS neglected tropical diseases · 2023Article
- Article
- The incidence of tuberculous pleurisy in mainland China from 2005 to 2018.Frontiers in public health · 2023Article
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Authors and funding
7 authors.
Funding
Abstract
backgroundTuberculosis (TB) makes a big challenge to public health, especially in high TB burden counties of China and Greater Mekong Subregion (GMS). The aim of this study was to identify the spatial-temporal dynamic process and high-risk region of notified pulmonary tuberculosis (PTB), sputum smear-positive tuberculosis (SSP-TB) and sputum smear-negative tuberculosis (SSN-TB) cases in Yunnan, the south-western of China between years of 2005 to 2018. Meanwhile, to evaluate the similarity of prevalence pattern for TB among GMS.
methodsData for notified PTB were extracted from the China Information System for Disease Control and Prevention (CISDCP) correspond to population information in 129 counties of Yunnan between 2005 to 2018. Seasonally adjusted time series defined the trend cycle and seasonality of PTB prevalence. Kulldorff's space-time scan statistics was applied to identify temporal, spatial and spatial-temporal PTB prevalence clusters at county-level of Yunnan. Pearson correlation coefficient and hierarchical clustering were applied to define the similarity of TB prevalence among borders with GMS.
resultThere were a total of 381,855 notified PTB cases in Yunnan, and the average prevalence was 59.1 per 100,000 population between 2005 to 2018. A declined long-term trend with seasonality of a peak in spring and a trough in winter for PTB was observed. Spatial-temporal scan statistics detected the significant clusters of PTB prevalence, the most likely cluster concentrated in the northeastern angle of Yunnan between 2011 to 2015 (RR = 2.6, P < 0.01), though the most recent cluster for PTB and spatial cluster for SSP-TB was in borders with GMS. There were six potential TB prevalence patterns among GMS.
conclusionThis study detected aggregated time interval and regions for PTB, SSP-TB, and SSN-TB at county-level of Yunnan province. Similarity prevalence pattern was found in borders and GMS. The localized prevention strategy should focus on cross-boundary transmission and SSN-TB control.
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