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[Prediction of trends for fine-scale spread of Oncomelania hupensis in Shanghai Municipality based on supervised machine learning models].

Y F Gong,Z W Luo,J X Feng,J B Xue,Z Y Guo,Y J Jin, Q Yu, S Xia, S Lü, J Xu,S Z Li

Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control(2022)

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摘要
Supervised machine learning models are effective to predict the risk of fine-scale snail spread and identify the environmental determinants relating to snail spread. The areas at risk of snail spread are mainly located in southwestern Songjiang District, northwestern Jinshan District and southeastern Qingpu District of Shanghai Municipality.
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关键词
Machine learning model, ,Prediction,Shanghai Municipality,Spread
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