Spatio-temporal trends and risk factors for Shigella from 2001 to 2011 in Jiangsu Province, People's Republic of China.

<h4>Objective</h4>This study aimed to describe the spatial and temporal trends of Shigella incidence rates in Jiangsu Province, People's Republic of China. It also intended to explore complex risk modes facilitating Shigella transmission.<h4>Methods</h4>County-level inci...

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Autores principales:	Fenyang Tang, Yuejia Cheng, Changjun Bao, Jianli Hu, Wendong Liu, Qi Liang, Ying Wu, Jessie Norris, Zhihang Peng, Rongbin Yu, Hongbing Shen, Feng Chen
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2014
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/27da17ccd8bc483cb094f903f6536d79
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spelling	oai:doaj.org-article:27da17ccd8bc483cb094f903f6536d792021-11-18T08:38:39ZSpatio-temporal trends and risk factors for Shigella from 2001 to 2011 in Jiangsu Province, People's Republic of China.1932-620310.1371/journal.pone.0083487https://doaj.org/article/27da17ccd8bc483cb094f903f6536d792014-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24416167/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Objective</h4>This study aimed to describe the spatial and temporal trends of Shigella incidence rates in Jiangsu Province, People's Republic of China. It also intended to explore complex risk modes facilitating Shigella transmission.<h4>Methods</h4>County-level incidence rates were obtained for analysis using geographic information system (GIS) tools. Trend surface and incidence maps were established to describe geographic distributions. Spatio-temporal cluster analysis and autocorrelation analysis were used for detecting clusters. Based on the number of monthly Shigella cases, an autoregressive integrated moving average (ARIMA) model successfully established a time series model. A spatial correlation analysis and a case-control study were conducted to identify risk factors contributing to Shigella transmissions.<h4>Results</h4>The far southwestern and northwestern areas of Jiangsu were the most infected. A cluster was detected in southwestern Jiangsu (LLR = 11674.74, P<0.001). The time series model was established as ARIMA (1, 12, 0), which predicted well for cases from August to December, 2011. Highways and water sources potentially caused spatial variation in Shigella development in Jiangsu. The case-control study confirmed not washing hands before dinner (OR = 3.64) and not having access to a safe water source (OR = 2.04) as the main causes of Shigella in Jiangsu Province.<h4>Conclusion</h4>Improvement of sanitation and hygiene should be strengthened in economically developed counties, while access to a safe water supply in impoverished areas should be increased at the same time.Fenyang TangYuejia ChengChangjun BaoJianli HuWendong LiuQi LiangYing WuJessie NorrisZhihang PengRongbin YuHongbing ShenFeng ChenPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 1, p e83487 (2014)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Fenyang Tang Yuejia Cheng Changjun Bao Jianli Hu Wendong Liu Qi Liang Ying Wu Jessie Norris Zhihang Peng Rongbin Yu Hongbing Shen Feng Chen Spatio-temporal trends and risk factors for Shigella from 2001 to 2011 in Jiangsu Province, People's Republic of China.
description	<h4>Objective</h4>This study aimed to describe the spatial and temporal trends of Shigella incidence rates in Jiangsu Province, People's Republic of China. It also intended to explore complex risk modes facilitating Shigella transmission.<h4>Methods</h4>County-level incidence rates were obtained for analysis using geographic information system (GIS) tools. Trend surface and incidence maps were established to describe geographic distributions. Spatio-temporal cluster analysis and autocorrelation analysis were used for detecting clusters. Based on the number of monthly Shigella cases, an autoregressive integrated moving average (ARIMA) model successfully established a time series model. A spatial correlation analysis and a case-control study were conducted to identify risk factors contributing to Shigella transmissions.<h4>Results</h4>The far southwestern and northwestern areas of Jiangsu were the most infected. A cluster was detected in southwestern Jiangsu (LLR = 11674.74, P<0.001). The time series model was established as ARIMA (1, 12, 0), which predicted well for cases from August to December, 2011. Highways and water sources potentially caused spatial variation in Shigella development in Jiangsu. The case-control study confirmed not washing hands before dinner (OR = 3.64) and not having access to a safe water source (OR = 2.04) as the main causes of Shigella in Jiangsu Province.<h4>Conclusion</h4>Improvement of sanitation and hygiene should be strengthened in economically developed counties, while access to a safe water supply in impoverished areas should be increased at the same time.
format	article
author	Fenyang Tang Yuejia Cheng Changjun Bao Jianli Hu Wendong Liu Qi Liang Ying Wu Jessie Norris Zhihang Peng Rongbin Yu Hongbing Shen Feng Chen
author_facet	Fenyang Tang Yuejia Cheng Changjun Bao Jianli Hu Wendong Liu Qi Liang Ying Wu Jessie Norris Zhihang Peng Rongbin Yu Hongbing Shen Feng Chen
author_sort	Fenyang Tang
title	Spatio-temporal trends and risk factors for Shigella from 2001 to 2011 in Jiangsu Province, People's Republic of China.
title_short	Spatio-temporal trends and risk factors for Shigella from 2001 to 2011 in Jiangsu Province, People's Republic of China.
title_full	Spatio-temporal trends and risk factors for Shigella from 2001 to 2011 in Jiangsu Province, People's Republic of China.
title_fullStr	Spatio-temporal trends and risk factors for Shigella from 2001 to 2011 in Jiangsu Province, People's Republic of China.
title_full_unstemmed	Spatio-temporal trends and risk factors for Shigella from 2001 to 2011 in Jiangsu Province, People's Republic of China.
title_sort	spatio-temporal trends and risk factors for shigella from 2001 to 2011 in jiangsu province, people's republic of china.
publisher	Public Library of Science (PLoS)
publishDate	2014
url	https://doaj.org/article/27da17ccd8bc483cb094f903f6536d79
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Spatio-temporal trends and risk factors for Shigella from 2001 to 2011 in Jiangsu Province, People's Republic of China.

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