Published on in Vol 8, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34296, first published .
Estimating COVID-19 Hospitalizations in the United States With Surveillance Data Using a Bayesian Hierarchical Model: Modeling Study

Estimating COVID-19 Hospitalizations in the United States With Surveillance Data Using a Bayesian Hierarchical Model: Modeling Study

Estimating COVID-19 Hospitalizations in the United States With Surveillance Data Using a Bayesian Hierarchical Model: Modeling Study

Alexia Couture   1 , MPH ;   A Danielle Iuliano   1, 2 , PhD ;   Howard H Chang   3 , PhD ;   Neha N Patel   1, 4 , MPH ;   Matthew Gilmer   1, 5 , MS ;   Molly Steele   1 , PhD ;   Fiona P Havers   1, 2 , MD ;   Michael Whitaker   1 , MPH ;   Carrie Reed   1 , SCiD

1 Centers for Disease Control and Prevention, Atlanta, GA, United States

2 United States Public Health Service, Rockville, MD, United States

3 Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, United States

4 Division of Health and Environment, Abt Associates, Atlanta, GA, United States

5 General Dynamics Information Technology, Atlanta, GA, United States

Corresponding Author:

  • Alexia Couture, MPH
  • Centers for Disease Control and Prevention
  • 1600 Clifton Road
  • Atlanta, GA, 30329
  • United States
  • Phone: 1 4044985984
  • Email: njh6@cdc.gov