Author: Robert Verity; Lucy C Okell; Ilaria Dorigatti; Peter Winskill; Charles Whittaker; Natsuko Imai; Gina Cuomo-Dannenburg; Hayley Thompson; Patrick Walker; Han Fu; Amy Dighe; Jamie Griffin; Anne Cori; Marc Baguelin; Sangeeta Bhatia; Adhiratha Boonyasiri; Zulma M Cucunuba; Rich Fitzjohn; Katy A M Gaythorpe; Will Green; Arran Hamlet; Wes Hinsley; Daniel Laydon; Gemma Nedjati-Gilani; Steven Riley; Sabine van-Elsand; Erik Volz; Haowei Wang; Yuanrong Wang; Xiayoue Xi; Christl Donnelly; Azra Ghani; Neil Ferguson
Title: Estimates of the severity of COVID-19 disease Document date: 2020_3_13
ID: 10n2u1b1_115
Snippet: where is an additional scaling factor for all infections, ̂, ′ is the estimated incidence of cases on 31 st January in Wuhan (after the other age-based and Wuhan specific scalings detailed above), is the population of Wuhan (assumed to be 11,081,000 people), r is the epidemic growth rate (assumed r = 0.14) and D is the detection window (duration that an infection remains detectable). We assume Uniform priors on r of [0,0.1] and D of [7, 14] ......
Document: where is an additional scaling factor for all infections, ̂, ′ is the estimated incidence of cases on 31 st January in Wuhan (after the other age-based and Wuhan specific scalings detailed above), is the population of Wuhan (assumed to be 11,081,000 people), r is the epidemic growth rate (assumed r = 0.14) and D is the detection window (duration that an infection remains detectable). We assume Uniform priors on r of [0,0.1] and D of [7, 14] .
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