This paper is in the following e-collection/theme issue:

Public (e)Health, Digital Epidemiology and Public Health Informatics (1022) Surveillance Systems (516) Infectious Diseases (non-STD/STI) (1728) Innovative Methods in Public Health and Surveillance (388) JMIR Theme Issue: COVID-19 Special Issue (2556)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70232, first published .
Comparative Performance of Wastewater, Clinical, and Digital Surveillance Indicators for COVID-19 Monitoring in Routine Practice: Retrospective Observational Study

Comparative Performance of Wastewater, Clinical, and Digital Surveillance Indicators for COVID-19 Monitoring in Routine Practice: Retrospective Observational Study

Comparative Performance of Wastewater, Clinical, and Digital Surveillance Indicators for COVID-19 Monitoring in Routine Practice: Retrospective Observational Study

Authors of this article:

Xinyue Zhang1 Author Orcid Image ;   Zhiqun Lei1 Author Orcid Image ;   Qiuyue Wang1 Author Orcid Image ;   Rui Wang1 Author Orcid Image ;   Jiayao Luo1 Author Orcid Image ;   Everett Jin2 Author Orcid Image ;   Sheng Wei3 Author Orcid Image ;   Qi Wang1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Xinyue Zhang   1 , PhD ;   Zhiqun Lei   1 , PhD ;   Qiuyue Wang   1 , MM ;   Rui Wang   1 , MM ;   Jiayao Luo   1 , MM ;   Everett Jin   2 ;   Sheng Wei   3 * , PhD ;   Qi Wang   1 * , PhD

1 Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China

2 St. Mark’s School of Texas, Dallas, TX, United States

3 School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, Guangdong, China

*these authors contributed equally

Corresponding Author:

  • Qi Wang, PhD
  • Department of Epidemiology and Biostatistics
  • School of Public Health, Tongji Medical College, Huazhong University of Science and Technology
  • 13 Hangkong Road, Baofeng Street, Qiaokou District
  • Wuhan, Hubei 430030
  • China
  • Phone: 86 27-83692031
  • Email: wangqi_tj@hust.edu.cn