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Community-level wastewater surveillance with machine learning methods to assess underreporting of COVID-19 case counts

Nathan Szeto Alfred Franzblau Peter X.K.Song Chuanwu Xi Jianfeng Wu Yili Wang Xin Li Zheshi Zheng Leyao Zhang Richard Neitzel Marisa Eisenberg J.Tim Dvonch

微生物（英文）2025，Vol.4Issue(6)：717-720,4.

微生物（英文）2025，Vol.4Issue(6)：717-720,4.DOI:10.1002/mlf2.70055

Community-level wastewater surveillance with machine learning methods to assess underreporting of COVID-19 case counts

Nathan Szeto ¹Alfred Franzblau ²Peter X.K.Song ¹Chuanwu Xi ²Jianfeng Wu ²Yili Wang ³Xin Li ²Zheshi Zheng ¹Leyao Zhang ¹Richard Neitzel ²Marisa Eisenberg ⁴J.Tim Dvonch²

作者信息

1. Department of Biostatistics,University of Michigan School of Public Health,Ann Arbor,Michigan,USA
2. Department of Environmental Health Sciences,University of Michigan School of Public Health,Ann Arbor,Michigan,USA
3. Department of Biostatistics,University of Michigan School of Public Health,Ann Arbor,Michigan,USA||Department of Industrial and Operations Engineering,University of Michigan College of Engineering,Ann Arbor,Michigan,USA
4. Department of Epidemiology,University of Michigan School of Public Health,Ann Arbor,Michigan,USA
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摘要

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Nathan Szeto,Alfred Franzblau,Peter X.K.Song,Chuanwu Xi,Jianfeng Wu,Yili Wang,Xin Li,Zheshi Zheng,Leyao Zhang,Richard Neitzel,Marisa Eisenberg,J.Tim Dvonch..Community-level wastewater surveillance with machine learning methods to assess underreporting of COVID-19 case counts[J].微生物（英文）,2025,4(6):717-720,4.

基金项目

This study was supported by the Centers for Disease Control and Prevention under Grant No.NU50CK000510. （）

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