Estimates of the severity of coronavirus disease 2019: a model-based analysis

Verity, Robert; Okell, Lucy; Dorigatti, Ilaria; Winskill, Peter; Whittaker, Charles; Imai, Natsuko; Cuomo-Dannenburg, Gina; A Thompson, Hayley; Walker, Patrick; Fu, Han; Dighe, Amy; T. Griffin, Jamie; Baguelin, Marc; Bhatia, Sangeeta; Boonyasiri, Adhiratha; Cori, Anne; M. Cucunubá, Zulma; G. FitzJohn, Richard; A. M. Gaythorpe, Katy; D. Green, William; Hamlet, Arran; Hinsley, Wes; J. Laydon, Daniel; Nedjati‐Gilani, Gemma; Riley, Steven; van Elsland, Sabine; Volz, Erik; Wang, Haowei; Wang, Yuanrong; Xi, Xiaoyue; A. Donnelly, Christl; C. Ghani, Azra; M. Ferguson, Neil

doi:10.1016/s1473-3099(20)30243-7

Public

Estimates of the severity of coronavirus disease 2019: a model-based analysis

Published in The Lancet Infectious Diseases • Mar 30, 2020

Authors:

Robert Verity

Lucy Okell

Ilaria Dorigatti

Abstract

BACKGROUND: In the face of rapidly changing data, a range of case fatality ratio estimates for coronavirus disease 2019 (COVID-19) have been produced that differ substantially in magnitude. We aimed to provide robust estimates, accounting for censoring and ascertainment biases. METHODS: We collected...

Subject

Case fatality rate

Demography

Mainland China

Research Assistant

AI chat, annotations, notes & similar papers

Finding related papers...

Discussions

(0)

No comments yet

Be the first to share your thoughts!