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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Main Authors: Fenyang Tang, Yuejia Cheng, Changjun Bao, Jianli Hu, Wendong Liu, Qi Liang, Ying Wu, Jessie Norris, Zhihang Peng, Rongbin Yu, Hongbing Shen, Feng Chen
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24416167/?tool=EBI
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spelling doaj-27da17ccd8bc483cb094f903f6536d792021-03-04T10:04:14ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0191e8348710.1371/journal.pone.0083487Spatio-temporal trends and risk factors for Shigella from 2001 to 2011 in Jiangsu Province, People's Republic of China.Fenyang TangYuejia ChengChangjun BaoJianli HuWendong LiuQi LiangYing WuJessie NorrisZhihang PengRongbin YuHongbing ShenFeng Chen<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.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24416167/?tool=EBI
collection DOAJ
language English
format Article
sources DOAJ
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
spellingShingle 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.
PLoS ONE
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)
series PLoS ONE
issn 1932-6203
publishDate 2014-01-01
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.
url https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24416167/?tool=EBI
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