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Spatial-temporal analysis of tuberculosis in Chongqing, China 2011-2018

BACKGROUND: China is a country with a high burden of pulmonary tuberculosis (PTB). Chongqing is in the southwest of China, where the notification rate of PTB ranks tenth in China. This study analyzed the temporal and spatial distribution characteristics of PTB in Chongqing in order to improve TB con...

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Autores principales: Yu, Ya, Wu, Bo, Wu, Chengguo, Wang, Qingya, Hu, Daiyu, Chen, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374877/
https://www.ncbi.nlm.nih.gov/pubmed/32698763
http://dx.doi.org/10.1186/s12879-020-05249-3
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author Yu, Ya
Wu, Bo
Wu, Chengguo
Wang, Qingya
Hu, Daiyu
Chen, Wei
author_facet Yu, Ya
Wu, Bo
Wu, Chengguo
Wang, Qingya
Hu, Daiyu
Chen, Wei
author_sort Yu, Ya
collection PubMed
description BACKGROUND: China is a country with a high burden of pulmonary tuberculosis (PTB). Chongqing is in the southwest of China, where the notification rate of PTB ranks tenth in China. This study analyzed the temporal and spatial distribution characteristics of PTB in Chongqing in order to improve TB control measures. METHODS: A spatial-temporal analysis has been performed based on the data of PTB from 2011 to 2018, which was extracted from the National Surveillance System. The effect of TB control was measured by variation trend of pathogenic positive PTB notification rate and total TB notification rate. Time series, spatial autonomic correlation and spatial-temporal scanning methods were used to identify the temporal trends and spatial patterns at county level. RESULTS: A total of 188,528 cases were included in this study. A downward trend was observed in PTB between 2011 and 2018 in Chongqing. The peak of PTB notification occurred in late winter and early spring annually. By calculating the value of Global Moran’s I and Local Getis’s G(i)(*), we found that PTB was spatially clustered and some significant hot spots were detected in the southeast and northeast of Chongqing. One most likely cluster and three secondary clusters were identified by Kulldorff’s scan spatial-temporal Statistic. CONCLUSIONS: This study identified seasonal patterns and spatial-temporal clusters of PTB cases in Chongqing. Priorities should be given to southeast and northeast of Chongqing for better TB control.
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spelling pubmed-73748772020-07-22 Spatial-temporal analysis of tuberculosis in Chongqing, China 2011-2018 Yu, Ya Wu, Bo Wu, Chengguo Wang, Qingya Hu, Daiyu Chen, Wei BMC Infect Dis Research Article BACKGROUND: China is a country with a high burden of pulmonary tuberculosis (PTB). Chongqing is in the southwest of China, where the notification rate of PTB ranks tenth in China. This study analyzed the temporal and spatial distribution characteristics of PTB in Chongqing in order to improve TB control measures. METHODS: A spatial-temporal analysis has been performed based on the data of PTB from 2011 to 2018, which was extracted from the National Surveillance System. The effect of TB control was measured by variation trend of pathogenic positive PTB notification rate and total TB notification rate. Time series, spatial autonomic correlation and spatial-temporal scanning methods were used to identify the temporal trends and spatial patterns at county level. RESULTS: A total of 188,528 cases were included in this study. A downward trend was observed in PTB between 2011 and 2018 in Chongqing. The peak of PTB notification occurred in late winter and early spring annually. By calculating the value of Global Moran’s I and Local Getis’s G(i)(*), we found that PTB was spatially clustered and some significant hot spots were detected in the southeast and northeast of Chongqing. One most likely cluster and three secondary clusters were identified by Kulldorff’s scan spatial-temporal Statistic. CONCLUSIONS: This study identified seasonal patterns and spatial-temporal clusters of PTB cases in Chongqing. Priorities should be given to southeast and northeast of Chongqing for better TB control. BioMed Central 2020-07-22 /pmc/articles/PMC7374877/ /pubmed/32698763 http://dx.doi.org/10.1186/s12879-020-05249-3 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research Article
Yu, Ya
Wu, Bo
Wu, Chengguo
Wang, Qingya
Hu, Daiyu
Chen, Wei
Spatial-temporal analysis of tuberculosis in Chongqing, China 2011-2018
title Spatial-temporal analysis of tuberculosis in Chongqing, China 2011-2018
title_full Spatial-temporal analysis of tuberculosis in Chongqing, China 2011-2018
title_fullStr Spatial-temporal analysis of tuberculosis in Chongqing, China 2011-2018
title_full_unstemmed Spatial-temporal analysis of tuberculosis in Chongqing, China 2011-2018
title_short Spatial-temporal analysis of tuberculosis in Chongqing, China 2011-2018
title_sort spatial-temporal analysis of tuberculosis in chongqing, china 2011-2018
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374877/
https://www.ncbi.nlm.nih.gov/pubmed/32698763
http://dx.doi.org/10.1186/s12879-020-05249-3
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