Author: Paul Hong Lee
Title: Estimating the real-time case fatality rate of COVID-19 using Poisson mixtures model Document date: 2020_4_15
ID: g1l3gi3l_2
Snippet: The second estimator usually outperforms the first estimator as there existed a time lag between the diagnosis of disease and death [2-5]. The second estimator at any stage of the outbreak would be unbiased if the proportion of confirmed deaths equals the proportion of unconfirmed deaths [1] . This is the case for severe acute respiratory syndrome (SARS) in 2003 where the time from confirmed diagnosis to death equaled that from confirmed diagnosi.....
Document: The second estimator usually outperforms the first estimator as there existed a time lag between the diagnosis of disease and death [2-5]. The second estimator at any stage of the outbreak would be unbiased if the proportion of confirmed deaths equals the proportion of unconfirmed deaths [1] . This is the case for severe acute respiratory syndrome (SARS) in 2003 where the time from confirmed diagnosis to death equaled that from confirmed diagnosis to recovery (=23 days [1] ). For novel coronavirus disease 2019 (COVID-19), the duration from diagnosis to death was much shorter, with a mean duration of 8-14 days [2-5].
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