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

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 fac...

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Autores principales: Huang, Li, Abe, Eniola Michael, Li, Xin-Xu, Bergquist, Robert, Xu, Lin, Xue, Jing-Bo, Ruan, Yao, Cao, Chun-Li, Li, Shi-Zhu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6097331/
https://www.ncbi.nlm.nih.gov/pubmed/30115099
http://dx.doi.org/10.1186/s40249-018-0470-z
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author Huang, Li
Abe, Eniola Michael
Li, Xin-Xu
Bergquist, Robert
Xu, Lin
Xue, Jing-Bo
Ruan, Yao
Cao, Chun-Li
Li, Shi-Zhu
author_facet Huang, Li
Abe, Eniola Michael
Li, Xin-Xu
Bergquist, Robert
Xu, Lin
Xue, Jing-Bo
Ruan, Yao
Cao, Chun-Li
Li, Shi-Zhu
author_sort Huang, Li
collection PubMed
description 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40249-018-0470-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-60973312018-08-20 Space-time clustering and associated risk factors of pulmonary tuberculosis in southwest China Huang, Li Abe, Eniola Michael Li, Xin-Xu Bergquist, Robert Xu, Lin Xue, Jing-Bo Ruan, Yao Cao, Chun-Li Li, Shi-Zhu Infect Dis Poverty Research Article 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40249-018-0470-z) contains supplementary material, which is available to authorized users. BioMed Central 2018-08-17 /pmc/articles/PMC6097331/ /pubmed/30115099 http://dx.doi.org/10.1186/s40249-018-0470-z Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Huang, Li
Abe, Eniola Michael
Li, Xin-Xu
Bergquist, Robert
Xu, Lin
Xue, Jing-Bo
Ruan, Yao
Cao, Chun-Li
Li, Shi-Zhu
Space-time clustering and associated risk factors of pulmonary tuberculosis in southwest China
title Space-time clustering and associated risk factors of pulmonary tuberculosis in southwest China
title_full Space-time clustering and associated risk factors of pulmonary tuberculosis in southwest China
title_fullStr Space-time clustering and associated risk factors of pulmonary tuberculosis in southwest China
title_full_unstemmed Space-time clustering and associated risk factors of pulmonary tuberculosis in southwest China
title_short Space-time clustering and associated risk factors of pulmonary tuberculosis in southwest China
title_sort space-time clustering and associated risk factors of pulmonary tuberculosis in southwest china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6097331/
https://www.ncbi.nlm.nih.gov/pubmed/30115099
http://dx.doi.org/10.1186/s40249-018-0470-z
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