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Identifying Spatial Clusters of Schistosomiasis in Anhui Province of China: A Study from the Perspective of Application

With the strategy shifting from morbidity control to transmission interruption, the burden of schistosomiasis in China has been declining over the past decade. However, further controls of the epidemic in the lake and marshland regions remain a challenge. Prevalence data at county level were obtaine...

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Autores principales: Sun, Liqian, Chen, Yue, Lynn, Henry, Wang, Qizhi, Zhang, Shiqing, Li, Rui, Xia, Congcong, Jiang, Qingwu, Hu, Yi, Gao, Fenghua, Zhang, Zhijie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4586705/
https://www.ncbi.nlm.nih.gov/pubmed/26393632
http://dx.doi.org/10.3390/ijerph120911756
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author Sun, Liqian
Chen, Yue
Lynn, Henry
Wang, Qizhi
Zhang, Shiqing
Li, Rui
Xia, Congcong
Jiang, Qingwu
Hu, Yi
Gao, Fenghua
Zhang, Zhijie
author_facet Sun, Liqian
Chen, Yue
Lynn, Henry
Wang, Qizhi
Zhang, Shiqing
Li, Rui
Xia, Congcong
Jiang, Qingwu
Hu, Yi
Gao, Fenghua
Zhang, Zhijie
author_sort Sun, Liqian
collection PubMed
description With the strategy shifting from morbidity control to transmission interruption, the burden of schistosomiasis in China has been declining over the past decade. However, further controls of the epidemic in the lake and marshland regions remain a challenge. Prevalence data at county level were obtained from the provincial surveillance system in Anhui during 1997–2010. Spatial autocorrelation analysis and spatial scan statistics were combined to assess the spatial pattern of schistosomiasis. The spatial-temporal cluster analysis based on retrospective space-time scan statistics was further used to detect risk clusters. The Global Moran’s I coefficients were mostly statistically significant during 1997–2004 but not significant during 2005–2010. The clusters detected by two spatial cluster methods occurred in Nanling, Tongling, Qingyang and Wuhu during 1997–2004, and Guichi and Wuhu from 2005 to 2010, respectively. Spatial-temporal cluster analysis revealed 2 main clusters, namely Nanling (1999–2002) and Guichi (2005–2008). The clustering regions were significantly narrowed while the spatial extent became scattered during the study period. The high-risk areas shifted from the low reaches of the Yangtze River to the upper stream, suggesting the focus of schistosomiasis control should be shifted accordingly and priority should be given to the snail habitats within the high-risk areas of schistosomiasis.
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spelling pubmed-45867052015-10-06 Identifying Spatial Clusters of Schistosomiasis in Anhui Province of China: A Study from the Perspective of Application Sun, Liqian Chen, Yue Lynn, Henry Wang, Qizhi Zhang, Shiqing Li, Rui Xia, Congcong Jiang, Qingwu Hu, Yi Gao, Fenghua Zhang, Zhijie Int J Environ Res Public Health Article With the strategy shifting from morbidity control to transmission interruption, the burden of schistosomiasis in China has been declining over the past decade. However, further controls of the epidemic in the lake and marshland regions remain a challenge. Prevalence data at county level were obtained from the provincial surveillance system in Anhui during 1997–2010. Spatial autocorrelation analysis and spatial scan statistics were combined to assess the spatial pattern of schistosomiasis. The spatial-temporal cluster analysis based on retrospective space-time scan statistics was further used to detect risk clusters. The Global Moran’s I coefficients were mostly statistically significant during 1997–2004 but not significant during 2005–2010. The clusters detected by two spatial cluster methods occurred in Nanling, Tongling, Qingyang and Wuhu during 1997–2004, and Guichi and Wuhu from 2005 to 2010, respectively. Spatial-temporal cluster analysis revealed 2 main clusters, namely Nanling (1999–2002) and Guichi (2005–2008). The clustering regions were significantly narrowed while the spatial extent became scattered during the study period. The high-risk areas shifted from the low reaches of the Yangtze River to the upper stream, suggesting the focus of schistosomiasis control should be shifted accordingly and priority should be given to the snail habitats within the high-risk areas of schistosomiasis. MDPI 2015-09-18 2015-09 /pmc/articles/PMC4586705/ /pubmed/26393632 http://dx.doi.org/10.3390/ijerph120911756 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sun, Liqian
Chen, Yue
Lynn, Henry
Wang, Qizhi
Zhang, Shiqing
Li, Rui
Xia, Congcong
Jiang, Qingwu
Hu, Yi
Gao, Fenghua
Zhang, Zhijie
Identifying Spatial Clusters of Schistosomiasis in Anhui Province of China: A Study from the Perspective of Application
title Identifying Spatial Clusters of Schistosomiasis in Anhui Province of China: A Study from the Perspective of Application
title_full Identifying Spatial Clusters of Schistosomiasis in Anhui Province of China: A Study from the Perspective of Application
title_fullStr Identifying Spatial Clusters of Schistosomiasis in Anhui Province of China: A Study from the Perspective of Application
title_full_unstemmed Identifying Spatial Clusters of Schistosomiasis in Anhui Province of China: A Study from the Perspective of Application
title_short Identifying Spatial Clusters of Schistosomiasis in Anhui Province of China: A Study from the Perspective of Application
title_sort identifying spatial clusters of schistosomiasis in anhui province of china: a study from the perspective of application
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4586705/
https://www.ncbi.nlm.nih.gov/pubmed/26393632
http://dx.doi.org/10.3390/ijerph120911756
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