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

Infectious Diseases (non-STD/STI) (1490) Influenza and Influenza-Like-Illness (ILI) Surveillance (203) Public (e)Health, Digital Epidemiology and Public Health Informatics (646) JMIR Theme Issue: COVID-19 Special Issue (2394) Surveillance Systems (430)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40216, first published .
Decreased Seasonal Influenza Rates Detected in a Crowdsourced Influenza-Like Illness Surveillance System During the COVID-19 Pandemic: Prospective Cohort Study

Decreased Seasonal Influenza Rates Detected in a Crowdsourced Influenza-Like Illness Surveillance System During the COVID-19 Pandemic: Prospective Cohort Study

Decreased Seasonal Influenza Rates Detected in a Crowdsourced Influenza-Like Illness Surveillance System During the COVID-19 Pandemic: Prospective Cohort Study

Authors of this article:

Autumn Gertz1 Author Orcid Image ;   Benjamin Rader1, 2 Author Orcid Image ;   Kara Sewalk1 Author Orcid Image ;   Tanner J Varrelman1 Author Orcid Image ;   Mark Smolinski3 Author Orcid Image ;   John S Brownstein1, 4 Author Orcid Image
Article Authors Cited by Tweetations (5) Metrics

Autumn Gertz   1 , MSc ;   Benjamin Rader   1, 2 , MPH ;   Kara Sewalk   1 , MPH ;   Tanner J Varrelman   1 , PhD ;   Mark Smolinski   3 , MPH, MD ;   John S Brownstein   1, 4 , PhD

1 Computational Epidemiology Lab, Boston Children's Hospital, Boston, MA, United States

2 Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States

3 Ending Pandemics, San Francisco, CA, United States

4 Harvard Medical School, Boston, MA, United States

Corresponding Author:

  • John S Brownstein, PhD
  • Computational Epidemiology Lab
  • Boston Children's Hospital
  • 300 Longwood Avenue
  • Boston, MA, 02115
  • United States
  • Phone: 1 8572185188
  • Email: info@outbreaksnearme.org