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

Surveillance Systems (676) Public (e)Health, Digital Epidemiology and Public Health Informatics (2291) Epidemiology (252) Infectious Diseases (non-STD/STI) (1926) Innovative Methods in Public Health and Surveillance (509) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (2030) Hygiene and Infection Prevention (436) Outbreak and Pandemic Preparedness and Management (1961)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54551, first published .
Two men in face masks greet with an elbow bump outside an office building

Syndromic Surveillance Tracks COVID-19 Cases in University and County Settings: Retrospective Observational Study

Syndromic Surveillance Tracks COVID-19 Cases in University and County Settings: Retrospective Observational Study

Authors of this article:

Lily Minh Wass1 Author Orcid Image ;   Derek O'Keeffe Hoare2 Author Orcid Image ;   Georgia Elena Smits2 Author Orcid Image ;   Marwan Osman1, 3 Author Orcid Image ;   Ning Zhang4 Author Orcid Image ;   William Klepack5 Author Orcid Image ;   Lara Parrilla1 Author Orcid Image ;   Jefferson M Busche6 Author Orcid Image ;   Marin E Clarkberg6 Author Orcid Image ;   Sumanta Basu2 Author Orcid Image ;   Casey L Cazer1, 7 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

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  1. Liu Z, Wan L, Qi J, Ding J, Zhou Y, Chen J, Liu Y, Peng X, Yang G. Design of a Universal Backbone Improving the Endonuclease Dependence Molecular Beacon Assay. ACS Omega 2025;10(25):27174 View
  2. Zhao L, Kodandapuram V, Xagoraraki I. Machine Learning-Based Prediction of COVID-19 Cases in 75 Countries Using Google Trends: A Retrospective Study. Journal of Environmental Engineering 2026;152(10) View