Space-time clustering and associated risk factors of pulmonary tuberculosis in southwest China

被引:2
|
作者
Huang Li
Michael Abe Eniola
Li Xin-Xu
Bergquist Robert
Xu Lin
Xue Jing-Bo
Ruan Yao
Cao Chun-Li
Li Shi-Zhu
机构
[1] Yunnan provincial Center for Disease Control and Prevention
[2] Kunming
[3] China
[4] National Institute of Parasitic Diseases
[5] Chinese Center for Disease Control and Prevention
[6] Ruijing Er road 207
[7] Shanghai 200025
[8] National Research Center for Tropical Disease
[9] Key Laboratory of Parasite and Vector Biology
[10] Ministry of Health
[11] WHO Collaborating Center for Tropical Diseases
[12] Center for Drug Evaluation
[13] China Food and Drug Administration
[14] Beijing
[15] Ingerod
[16] Brastad
[17] Sweden
关键词
Pulmonary tuberculosis; Spatio-temporal clustering; Regression analysis method; Risk factors; China;
D O I
暂无
中图分类号
R521 [肺结核];
学科分类号
1002 ; 100201 ;
摘要
Background: Pulmonary 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.Methods: Space-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.Results: A 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.Conclusions: We 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.
引用
收藏
页码:63 / 73
页数:11
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