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Identification of Potential High-Risk Habitats within the Transmission Reach of Oncomelania hupensis after Floods Based on SAR Techniques in a Plane Region in China

Author

Listed:
  • Yuanyuan Shi

    (Key Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Juan Qiu

    (Key Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China)

  • Rendong Li

    (Key Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China)

  • Qiang Shen

    (Key Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China)

  • Duan Huang

    (Key Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

Schistosomiasis japonica is an infectious disease caused by Schistosoma japonicum , and it remains endemic in China. Flooding is the main hazard factor, as it causes the spread of Oncomelania hupensis , the only intermediate host of Schistosoma japonicum , thereby triggering schistosomiasis outbreaks. Based on multi-source real-time remote sensing data, we used remote sensing (RS) technology, especially synthetic aperture radar (SAR), and geographic information system (GIS) techniques to carry out warning research on potential snail habitats within the snail dispersal range following flooding. Our research result demonstrated: (1) SAR data from Sentinel-1A before and during a flood were used to identify submerged areas rapidly and effectively; (2) the likelihood of snail survival was positively correlated with the clay proportion, core area standard deviation, and ditch length but negatively correlated with the wetness index, NDVI (normalized difference vegetation index), elevation, woodland area, and construction land area; (3) the snail habitats were most abundant near rivers and ditches in paddy fields; (4) the rivers and paddy irrigation ditches in the submerged areas must be the focused of mitigation efforts following future floods.

Suggested Citation

  • Yuanyuan Shi & Juan Qiu & Rendong Li & Qiang Shen & Duan Huang, 2017. "Identification of Potential High-Risk Habitats within the Transmission Reach of Oncomelania hupensis after Floods Based on SAR Techniques in a Plane Region in China," IJERPH, MDPI, vol. 14(9), pages 1-13, August.
    • Handle: RePEc:gam:jijerp:v:14:y:2017:i:9:p:986-:d:110358
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    References listed on IDEAS

    as
    1. Juan Qiu & Rendong Li & Xingjian Xu & Chuanhua Yu & Xin Xia & Xicheng Hong & Bianrong Chang & Fengjia Yi & Yuanyuan Shi, 2014. "Identifying Determinants of Oncomelania hupensis Habitats and Assessing the Effects of Environmental Control Strategies in the Plain Regions with the Waterway Network of China at the Microscale," IJERPH, MDPI, vol. 11(6), pages 1-15, June.
    2. Jin-Yi Wu & Yi-Biao Zhou & Yue Chen & Song Liang & Lin-Han Li & Sheng-Bang Zheng & Shao-ping Zhu & Guang-Hui Ren & Xiu-Xia Song & Qing-Wu Jiang, 2015. "Three Gorges Dam: Impact of Water Level Changes on the Density of Schistosome-Transmitting Snail Oncomelania hupensis in Dongting Lake Area, China," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 9(6), pages 1-13, June.
    Full references (including those not matched with items on IDEAS)

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