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Spatial pattern of schistosomiasis in Xingzi, Jiangxi Province, China: the effects of environmental factors

BACKGROUND: The recent rebounds of schistosomiasis in the middle and lower reaches of the Yangtze River pose a challenge to the current control strategies. In this study, identification of potential high risk snail habitats was proposed, as an alternative sustainable control strategy, in Xingzi Coun...

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Autores principales: Hu, Yi, Zhang, Zhijie, Chen, Yue, Wang, Zengliang, Gao, Jie, Tao, Bo, Jiang, Qiulin, Jiang, Qingwu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3726341/
https://www.ncbi.nlm.nih.gov/pubmed/23880253
http://dx.doi.org/10.1186/1756-3305-6-214
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author Hu, Yi
Zhang, Zhijie
Chen, Yue
Wang, Zengliang
Gao, Jie
Tao, Bo
Jiang, Qiulin
Jiang, Qingwu
author_facet Hu, Yi
Zhang, Zhijie
Chen, Yue
Wang, Zengliang
Gao, Jie
Tao, Bo
Jiang, Qiulin
Jiang, Qingwu
author_sort Hu, Yi
collection PubMed
description BACKGROUND: The recent rebounds of schistosomiasis in the middle and lower reaches of the Yangtze River pose a challenge to the current control strategies. In this study, identification of potential high risk snail habitats was proposed, as an alternative sustainable control strategy, in Xingzi County, China. Parasitological data from standardized surveys were available for 36,208 locals (aged between 6–65 years) from 42 sample villages across the county and used in combination with environmental data to investigate the spatial pattern of schistosomiasis risks. METHODS: Environmental factors measured at village level were examined as possible risk factors by fitting a logistic regression model to schsitosomiasis risk. The approach of ordinary kriging was then used to predict the prevalence of schistosomiasis over the whole county. RESULTS: Risk analysis indicated that distance to snail habitat and wetland, rainfall, land surface temperature, hours of daylight, and vegetation are significantly associated with infection and the residual spatial pattern of infection showed no spatial correlation. The predictive map illustrated that high risk regions were located close to Beng Lake, Liaohuachi Lake, and Shixia Lake. CONCLUSIONS: Those significant environmental factors can perfectly explain spatial variation in infection and the high risk snail habitats delineated by the predicted map of schistosomiasis risks will help local decision-makers to develop a more sustainable control strategy.
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spelling pubmed-37263412013-07-31 Spatial pattern of schistosomiasis in Xingzi, Jiangxi Province, China: the effects of environmental factors Hu, Yi Zhang, Zhijie Chen, Yue Wang, Zengliang Gao, Jie Tao, Bo Jiang, Qiulin Jiang, Qingwu Parasit Vectors Research BACKGROUND: The recent rebounds of schistosomiasis in the middle and lower reaches of the Yangtze River pose a challenge to the current control strategies. In this study, identification of potential high risk snail habitats was proposed, as an alternative sustainable control strategy, in Xingzi County, China. Parasitological data from standardized surveys were available for 36,208 locals (aged between 6–65 years) from 42 sample villages across the county and used in combination with environmental data to investigate the spatial pattern of schistosomiasis risks. METHODS: Environmental factors measured at village level were examined as possible risk factors by fitting a logistic regression model to schsitosomiasis risk. The approach of ordinary kriging was then used to predict the prevalence of schistosomiasis over the whole county. RESULTS: Risk analysis indicated that distance to snail habitat and wetland, rainfall, land surface temperature, hours of daylight, and vegetation are significantly associated with infection and the residual spatial pattern of infection showed no spatial correlation. The predictive map illustrated that high risk regions were located close to Beng Lake, Liaohuachi Lake, and Shixia Lake. CONCLUSIONS: Those significant environmental factors can perfectly explain spatial variation in infection and the high risk snail habitats delineated by the predicted map of schistosomiasis risks will help local decision-makers to develop a more sustainable control strategy. BioMed Central 2013-07-24 /pmc/articles/PMC3726341/ /pubmed/23880253 http://dx.doi.org/10.1186/1756-3305-6-214 Text en Copyright © 2013 Hu et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Hu, Yi
Zhang, Zhijie
Chen, Yue
Wang, Zengliang
Gao, Jie
Tao, Bo
Jiang, Qiulin
Jiang, Qingwu
Spatial pattern of schistosomiasis in Xingzi, Jiangxi Province, China: the effects of environmental factors
title Spatial pattern of schistosomiasis in Xingzi, Jiangxi Province, China: the effects of environmental factors
title_full Spatial pattern of schistosomiasis in Xingzi, Jiangxi Province, China: the effects of environmental factors
title_fullStr Spatial pattern of schistosomiasis in Xingzi, Jiangxi Province, China: the effects of environmental factors
title_full_unstemmed Spatial pattern of schistosomiasis in Xingzi, Jiangxi Province, China: the effects of environmental factors
title_short Spatial pattern of schistosomiasis in Xingzi, Jiangxi Province, China: the effects of environmental factors
title_sort spatial pattern of schistosomiasis in xingzi, jiangxi province, china: the effects of environmental factors
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3726341/
https://www.ncbi.nlm.nih.gov/pubmed/23880253
http://dx.doi.org/10.1186/1756-3305-6-214
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