Validation of COVID-19 infection prevalence estimates (posterior median for both primary random effects model and simpler geometric mean n = ½ model) for each state in comparison to posterior median estimates and 95% credible intervals from two data-driven epidemiologic models: an extended-SEIR model calibrated to reported cases and confirmed deaths through July 22, 2020 [23] and a semi-mechanistic model calibrated to confirmed deaths through July 20, 2020 by Imperial College [37]).
posted on 2021-09-07, 17:44authored byWeihsueh A. Chiu, Martial L. Ndeffo-Mbah
Validation of COVID-19 infection prevalence estimates (posterior median for both primary random effects model and simpler geometric mean n = ½ model) for each state in comparison to posterior median estimates and 95% credible intervals from two data-driven epidemiologic models: an extended-SEIR model calibrated to reported cases and confirmed deaths through July 22, 2020 [23] and a semi-mechanistic model calibrated to confirmed deaths through July 20, 2020 by Imperial College [37]).