ArticleInfectious diseases of poverty2018
Space-time clustering and associated risk factors of pulmonary tuberculosis in southwest China.
Article in Infectious diseases of poverty, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed.
- Geospatial analysis of shared risks for tuberculosis transmission in an urban cohort.Scientific reports · 2025Article
- Factors affecting tuberculosis (TB) prevention behaviors among household contacts in Phitsanulok Province, northern Thailand: implications for TB prevention strategy plan.BMC infectious diseases · 2024Article
- Pulmonary Tuberculosis Notification Rate Within Shenzhen, China, 2010-2019: Spatial-Temporal Analysis.JMIR public health and surveillance · 2024Article
- Global and regional estimates of tuberculosis burden attributed to high fasting plasma glucose from 1990 to 2019: emphasis on earlier glycemic control.BMC public health · 2024Article
- A Spatio-temporal Bayesian model to estimate risk and influencing factors related to tuberculosis in Chongqing, China, 2014-2020.Archives of public health = Archives belges de sante publique · 2023Article
- Specific urban units identified in tuberculosis epidemic using a geographical detector in Guangzhou, China.Infectious diseases of poverty · 2022Article
- Dose-response relationship between body mass index and tuberculosis in China: a population-based cohort study.BMJ open · 2022Article
- Influence of Public Health Services on the Goal of Ending Tuberculosis: Evidence From Panel Data in China.Frontiers in public health · 2022Article
- Spatiotemporal Patterns of Tuberculosis in Hunan Province, China.International journal of environmental research and public health · 2021Article
- Population aging and trends of pulmonary tuberculosis incidence in the elderly.BMC infectious diseases · 2021Article
- SARS-CoV-2 Molecular Transmission Clusters and Containment Measures in Ten European Regions during the First Pandemic Wave.Life (Basel, Switzerland) · 2021Article
- Spatial-temporal analysis of tuberculosis in Chongqing, China 2011-2018.BMC infectious diseases · 2020Article
- Spatio-temporal analysis of socio-economic characteristics for pulmonary tuberculosis in Sichuan province of China, 2006-2015.BMC infectious diseases · 2020Article
- Spatiotemporal Epidemiology of Varicella in Chongqing, China, 2014-2018.International journal of environmental research and public health · 2020Article
- The characteristics of spatial-temporal distribution and cluster of tuberculosis in Yunnan Province, China, 2005-2018.BMC public health · 2019Article
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9 authors.
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Abstract
backgroundPulmonary tuberculosis (PTB,both smear positive and smear negative) is an airborne infectious disease of major public health concern in China and other parts of the world where PTB endemicity is reported. This study aims at identifying PTB spatio-temporal clusters and associated risk factors in Zhaotong prefecture-level city, located in southwest China, where the PTB notification rate was higher than the average rate in the entire country.
methodsSpace-time scan statistics were carried out using PTB registered data in the nationwide TB online registration system from 2011 to 2015, to identify spatial clusters. PTB patients diagnosed between October 2015 and February 2016 were selected and a structured questionnaire was administered to collect a set of variables that includes socio-economic status, behavioural characteristics, local environmental and biological characteristics. Based on the discovery of detailed town-level spatio-temporal PTB clusters, we divided selected subjects into two groups including the cases that resides within and outside identified clusters. Then, logistic regression analysis was applied comparing the results of variables between the two groups.
resultsA total of 1508 subjects consented and participated in the survey. Clusters for PTB cases were identified in 38 towns distributed over south-western Zhaotong. Logistic regression analysis showed that history of chronic bronchitis (OR = 3.683, 95% CI: 2.180-6.223), living in an urban area (OR = 5.876, 95% CI: 2.381-14.502) and using coal as the main fuel (OR = 9.356, 95% CI: 5.620-15.576) were independently associated with clustering. While, not smoking (OR = 0.340, 95% CI: 0.137-0.843) is the protection factor of spatial clustering.
conclusionsWe found PTB specially clustered in south-western Zhaotong. The strong associated factors influencing the PTB spatial cluster including: the history of chronic bronchitis, living in the urban area, smoking and the use of coal as the main fuel for cooking and heating. Therefore, efforts should be made to curtail these associated factors.
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