Estimating epidemic trajectories of SARS-CoV-2 and influenza A virus based on wastewater monitoring and a novel machine learning algorithm-Reference-Cited by-同舟云学术

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Estimating epidemic trajectories of SARS-CoV-2 and influenza A virus based on wastewater monitoring and a novel machine learning algorithm

Published:2024-11 Issue: Volume:951 Page:175830
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Fu Songzhe,Zhang Yixiang,Li Yinghui,Zhang Ziqiang,Du Chen,Wang Rui,Peng Yuejing,Yue Zhijiao,Xu Zheng,Hu Qinghua

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference44 articles.

1. Occurrence of multiple respiratory viruses in wastewater in Queensland, Australia: potential for community disease surveillance;Ahmed;Sci. Total Environ.,2023

2. Positivity rate: an indicator for the spread of COVID-19;Al Dallal;Curr. Med. Res. Opin.,2021

3. Impact of the COVID-19 pandemic on the prevalence of influenza A and respiratory syncytial viruses elucidated by wastewater-based epidemiology;Ando;Sci. Total Environ.,2023

4. A wastewater-based risk index for SARS-CoV-2 infections among three cities on the Canadian Prairie;Asadi;Sci. Total Environ.,2023

5. More than a Tripledemic: influenza a virus, respiratory syncytial virus, SARS-CoV-2, and human metapneumovirus in wastewater during winter 2022–2023;Boehm;Environ. Sci. Technol. Lett.,2023

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