Identification of parasite-host habitats in Anxiang county, Hunan Province, China based on multi-temporal China-Brazil earth resources satellite (CBERS) images.
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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基于多时相中巴地球资源卫星（CBERS）影像的湖南省安乡县寄生虫寄主栖息地识别
DOI：
10.1371/journal.pone.0069447
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发表时间：
2013
期刊：
影响因子：
3.7
通讯作者：
Jiang Q
中科院分区：
文献类型：
--
作者：
Zhang Z;Bergquist R;Chen D;Yao B;Wang Z;Gao J;Jiang Q
遥感是监测各种媒介传播疾病的分布和动态的一种很有前途的技术。在这项研究中，我们使用免费获得的多时相CBERS图像来预测钉螺的栖息地，钉螺是日本血吸虫病的唯一中间宿主，日本血吸虫病是一种蜗牛传播的寄生虫病，在中国具有相当大的公共卫生影响。基于归一化植被指数（NDVI）和归一化水体指数（NDWI）对钉螺适宜生境区域进行了识别，并对直接调查钉螺的地点（钉螺存在或不存在）进行了验证。该模型的灵敏度和特异性分别为63.64%和78.09%，经进一步开发，可为血吸虫病及其他类似病媒传播疾病的大规模监测和控制提供一种准确、廉价的工具。
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.
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影响因子：
3.8
作者：
McManus DP;Gray DJ;Ross AG;Williams GM;He HB;Li YS
通讯作者：
Li YS
影响因子：
2.4
作者：
Peng, W. X.;Tao, B.;Jiang, Q. W.
通讯作者：
Jiang, Q. W.
DOI：
10.1590/s0074-02762010000400033
发表时间：
2010-07-01
期刊：
Memórias do Instituto Oswaldo Cruz
影响因子：
--
作者：
Martins-Bedê, Flávia T;Dutra, Luciano V;Carvalho, Omar S
通讯作者：
Carvalho, Omar S
影响因子：
5.1
作者：
Feitosa, Raul Queiroz;Ostwald Pedro da Costa, Gilson Alexandre;Feijo, Bruno
通讯作者：
Feijo, Bruno
DOI：
10.2471/blt.05.025031
发表时间：
2006-02-01
期刊：
Bulletin of the World Health Organization: International Journal of Public Health
影响因子：
--
作者：
Liang, Song;Yang, Changhong;Qiu, Dongchuan
通讯作者：
Qiu, Dongchuan