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

Alexia Couture Angela Danielle Iuliano Howard H Chang Neha N Patel Matthew Gilmer Molly Steele Fiona P Havers Michael Whitaker Carrie Reed

Published in: JMIR public health and surveillance (2022)

Our novel approach to estimate hospitalizations for COVID-19 has potential to provide sustainable estimates for monitoring COVID-19 burden as well as a flexible framework leveraging surveillance data.

Keyphrases

coronavirus disease
sars cov
public health
electronic health record
big data
respiratory syndrome coronavirus
risk assessment
data analysis
human health