Incidence prediction of communicable diseases after the Wenchuan earthquake using remote sensing - 文章详情页

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Wenchuan　in　Sichuan　Province,　China,　was　hit　by　an　8.0　magnitude　earthquake　on　12　May　2008.　Thousands　of　buildings　were　destroyed　and　thousands　of　people　were　hurt.　History　tells　us　that　after　earthquakes,　floods　and　other　natural　disaster,　infectious　diseases　often　outbreaks.　In　this　study,　with　the　help　of　spatial　information　technologies　including　remote　sensing　and　geography　information　system,　we　acquired　environmental　factors　including　population,　earthquake　intensity,　route　distance,　direct　distance,　Normalized　Difference　Vegetation　Index,　Normalized　Difference　Water　Index,　and　Digital　Elevation　Model　for　each　township　in　Anxian　after　earthquake.　Then　we　constructed　a　Back　Propagation　Neural　Network　to　train　environmental　factors　and　incidence　of　communicable　diseases,　and　predicted　the　incidence　of　communicable　diseases.　The　results　showed　that　incidence　of　communicable　diseases　after　earthquake　could　be　predicted　using　remote　sensing　to　some　extent.　©　2012　IEEE.

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Disasters Diseases Earthquakes Environmental technology Geology Neural networks Remote sensing Torsional stress

作者机构：

[ 1 ] [Zheng, Sheng]State Key Laboratory of Remote Sensing Science, Beijing Normal University, Sensing Applications of Chinese Academy of Sciences, Beijing 100101, China
[ 2 ] [Zheng, Sheng]Graduate University of Chinese Academy of Sciences, Beijing, 100049, China
[ 3 ] [Cao, Chunxiang]State Key Laboratory of Remote Sensing Science, Beijing Normal University, Sensing Applications of Chinese Academy of Sciences, Beijing 100101, China
[ 4 ] [Li, Guanghe]Department of Industry Design, College of Architecture and Urban Planning, Beijing University of Technology, Beijing, 100124, China
[ 5 ] [Lu, Shilei]Division of Ecological Environment, Department of Development Planning and Assets Management, State Forestry Administration, Beijing, 100714, China
[ 6 ] [Xu, Min]State Key Laboratory of Remote Sensing Science, Beijing Normal University, Sensing Applications of Chinese Academy of Sciences, Beijing 100101, China
[ 7 ] [Jia, Huicong]State Key Laboratory of Remote Sensing Science, Beijing Normal University, Sensing Applications of Chinese Academy of Sciences, Beijing 100101, China
[ 8 ] [Li, Lin]College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China

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