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

Outbreak and Pandemic Preparedness and Management (1952) Innovative Methods in Public Health and Surveillance (494) Data Science (678) JMIR Theme Issue: COVID-19 Special Issue (4231)

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 (2) 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