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

Viewpoint and Opinions on Technology and Innovation in Public Health (67) Infectious Diseases (non-STD/STI) (1726) Influenza and Influenza-Like-Illness (ILI) Surveillance (237) Surveillance Systems (514) Participatory Epidemiology and Surveillance (127) Public (e)Health, Digital Epidemiology and Public Health Informatics (1008) Adoption and Change Management of eHealth Systems (894)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54340, first published .
Responding to the Return of Influenza in the United States by Applying Centers for Disease Control and Prevention Surveillance, Analysis, and Modeling to Inform Understanding of Seasonal Influenza

Responding to the Return of Influenza in the United States by Applying Centers for Disease Control and Prevention Surveillance, Analysis, and Modeling to Inform Understanding of Seasonal Influenza

Responding to the Return of Influenza in the United States by Applying Centers for Disease Control and Prevention Surveillance, Analysis, and Modeling to Inform Understanding of Seasonal Influenza

Authors of this article:

Rebecca K Borchering1 Author Orcid Image ;   Matthew Biggerstaff1 Author Orcid Image ;   Lynnette Brammer1 Author Orcid Image ;   Alicia Budd1 Author Orcid Image ;   Shikha Garg1 Author Orcid Image ;   Alicia M Fry2 Author Orcid Image ;   A Danielle Iuliano1 Author Orcid Image ;   Carrie Reed1 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

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  2. Li P, Huang R, Xie R, Xie J, Liu K. Prediction of influenza-like illness incidence using meteorological factors in Kunming : deep learning model study. BMC Public Health 2025;25(1) View
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  4. Hamzat H, Ezeala O, Durham S, Qian J, Westrick S. Determinants of Influenza Vaccine Uptake Among Rural Populations in a Southeastern U.S. State. Vaccines 2025;13(12):1208 View