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

Public (e)Health, Digital Epidemiology and Public Health Informatics (1109) Surveillance Systems (520) Infectious Diseases (non-STD/STI) (1758) Innovative Methods in Public Health and Surveillance (402) JMIR Theme Issue: COVID-19 Special Issue (2565)

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
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Journals

  1. Yang L, Shan L, Cao X, Cui J, Tong M, Niu Y, Zhang T. AI Agents and Epidemic Intelligence on Respiratory Infectious Diseases: Toward a Conceptual Framework Integrating Decision Support. Journal of Medical Internet Research 2026;28:e86936 View