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Identification of the High-Risk Area for Schistosomiasis Transmission in China Based on Information Value and Machine Learning—A Newly Data-Driven Modeling Try

2021-04-28

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<title>Abstract</title> <p>Objective Information value (IV) and machine learning models were used to analyze and predict the high-risk distribution of schistosomiasis, in order to provide scientific evidence for disease surveillance and control in China. Methods The local case distribution from schistosomiasis surveillance data in China between 2005 and 2019 was assessed based on 19 variables including climate,...

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Literature Corpus work
d6cbb3f4-78a9-5b5f-b211-78a1dab763a7
DOI
10.21203/rs.3.rs-445806/v1
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Identification of the High-Risk Area for Schistosomiasis Transmission in China Based on Information Value and Machine Learning—A Newly Data-Driven Modeling TryDOI 10.21203/rs.3.rs-445806/v1
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