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

Outbreak and Pandemic Preparedness and Management (1961) Innovative Methods in Public Health and Surveillance (511) Data Science (702) JMIR Theme Issue: COVID-19 Special Issue (4234)

Published on in Vol 8, No 12 (2022): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39336, first published .
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Crowdsourced Perceptions of Human Behavior to Improve Computational Forecasts of US National Incident Cases of COVID-19: Survey Study

Crowdsourced Perceptions of Human Behavior to Improve Computational Forecasts of US National Incident Cases of COVID-19: Survey Study

Authors of this article:

David Braun1 Author Orcid Image ;   Daniel Ingram2 Author Orcid Image ;   David Ingram2 Author Orcid Image ;   Bilal Khan3 Author Orcid Image ;   Jessecae Marsh1 Author Orcid Image ;   Thomas McAndrew4 Author Orcid Image
Article Authors Cited by (3) Tweetations (4) Metrics

Journals

  1. McAndrew T, Gibson G, Braun D, Srivastava A, Brown K. Chimeric Forecasting: An experiment to leverage human judgment to improve forecasts of infectious disease using simulated surveillance data. Epidemics 2024;47:100756 View
  2. DeJohn A, Horner M, Fattah M. Extreme heat adaptation and relocation intentions among older in-migrants in U.S. coastal communities. Discover Public Health 2026;23(1) View
  3. Mcandrew T, Majumder M, Lover A, Venkatramanan S, Bocchini P, Besiroglu T, Codi A, Dempsey G, Abbott S, Chevalier S, Bosse N, Cambeiro J, Braun D. Assessing human judgment forecasts in the rapid spread of the mpox outbreak: insights and challenges for pandemic preparedness. BMC Infectious Diseases 2026;26(1) View