Identification of parasite-host habitats in Anxiang county, Hunan Province, China based on multi-temporal China-Brazil earth resources satellite (CBERS) images.

Remote sensing is a promising technique for monitoring the distribution and dynamics of various vector-borne diseases. In this study, we used the multi-temporal CBERS images, obtained free of charge, to predict the habitats of the snail Oncomelania hupensis, the sole intermediate host of schistosomi...

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Autores principales:	Zhijie Zhang, Robert Bergquist, Dongmei Chen, Baodong Yao, Zengliang Wang, Jie Gao, Qingwu Jiang
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/eb75c392d3034264a5ea991ae143198e
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spelling	oai:doaj.org-article:eb75c392d3034264a5ea991ae143198e2021-11-18T09:02:29ZIdentification of parasite-host habitats in Anxiang county, Hunan Province, China based on multi-temporal China-Brazil earth resources satellite (CBERS) images.1932-620310.1371/journal.pone.0069447https://doaj.org/article/eb75c392d3034264a5ea991ae143198e2013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23922712/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Remote sensing is a promising technique for monitoring the distribution and dynamics of various vector-borne diseases. In this study, we used the multi-temporal CBERS images, obtained free of charge, to predict the habitats of the snail Oncomelania hupensis, the sole intermediate host of schistosomiasis japonica, a snail-borne parasitic disease of considerable public health in China. Areas of suitable snail habitats were identified based on the normalized difference vegetation index (NDVI) and the normalized difference water index (NDWI), and the predictive model was tested against sites (snails present or absent) that were surveyed directly for O. hupensis. The model performed well (sensitivity and specificity were 63.64% and 78.09%, respectively), and with further development, we may provide an accurate, inexpensive tool for the broad-scale monitoring and control of schistosomiasis, and other similar vector-borne diseases.Zhijie ZhangRobert BergquistDongmei ChenBaodong YaoZengliang WangJie GaoQingwu JiangPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 7, p e69447 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Zhijie Zhang Robert Bergquist Dongmei Chen Baodong Yao Zengliang Wang Jie Gao Qingwu Jiang Identification of parasite-host habitats in Anxiang county, Hunan Province, China based on multi-temporal China-Brazil earth resources satellite (CBERS) images.
description	Remote sensing is a promising technique for monitoring the distribution and dynamics of various vector-borne diseases. In this study, we used the multi-temporal CBERS images, obtained free of charge, to predict the habitats of the snail Oncomelania hupensis, the sole intermediate host of schistosomiasis japonica, a snail-borne parasitic disease of considerable public health in China. Areas of suitable snail habitats were identified based on the normalized difference vegetation index (NDVI) and the normalized difference water index (NDWI), and the predictive model was tested against sites (snails present or absent) that were surveyed directly for O. hupensis. The model performed well (sensitivity and specificity were 63.64% and 78.09%, respectively), and with further development, we may provide an accurate, inexpensive tool for the broad-scale monitoring and control of schistosomiasis, and other similar vector-borne diseases.
format	article
author	Zhijie Zhang Robert Bergquist Dongmei Chen Baodong Yao Zengliang Wang Jie Gao Qingwu Jiang
author_facet	Zhijie Zhang Robert Bergquist Dongmei Chen Baodong Yao Zengliang Wang Jie Gao Qingwu Jiang
author_sort	Zhijie Zhang
title	Identification of parasite-host habitats in Anxiang county, Hunan Province, China based on multi-temporal China-Brazil earth resources satellite (CBERS) images.
title_short	Identification of parasite-host habitats in Anxiang county, Hunan Province, China based on multi-temporal China-Brazil earth resources satellite (CBERS) images.
title_full	Identification of parasite-host habitats in Anxiang county, Hunan Province, China based on multi-temporal China-Brazil earth resources satellite (CBERS) images.
title_fullStr	Identification of parasite-host habitats in Anxiang county, Hunan Province, China based on multi-temporal China-Brazil earth resources satellite (CBERS) images.
title_full_unstemmed	Identification of parasite-host habitats in Anxiang county, Hunan Province, China based on multi-temporal China-Brazil earth resources satellite (CBERS) images.
title_sort	identification of parasite-host habitats in anxiang county, hunan province, china based on multi-temporal china-brazil earth resources satellite (cbers) images.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/eb75c392d3034264a5ea991ae143198e
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Identification of parasite-host habitats in Anxiang county, Hunan Province, China based on multi-temporal China-Brazil earth resources satellite (CBERS) images.

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