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_6
Snippet: Here we attempt to adjust for these biases in data sources to obtain estimates of the CFR (proportion of all cases that will eventually die) and infection fatality ratio (IFR, the proportion of all infections that will eventually die) using both individual-level case report data and aggregate case and death counts from mainland China, administrative regions and international case reports. By adjusting for both underlying demography and potential .....
Document: Here we attempt to adjust for these biases in data sources to obtain estimates of the CFR (proportion of all cases that will eventually die) and infection fatality ratio (IFR, the proportion of all infections that will eventually die) using both individual-level case report data and aggregate case and death counts from mainland China, administrative regions and international case reports. By adjusting for both underlying demography and potential under-ascertainment at different levels of the severity pyramid (Figure 1 ), these estimates should be broadly applicable across a range of settings to inform health planning whilst more detailed case data accrue.
Search related documents:
Co phrase search for related documents- administrative region and fatality ratio: 1, 2, 3
- bias adjust and case data: 1
- bias adjust and data source: 1
- case data and CFR estimate: 1, 2, 3, 4, 5, 6, 7, 8
- case data and CFR estimate obtain: 1
- case data and data source: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- case data and death case: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- case data and death case count: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13
- case data and detailed case data: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- case data and different level: 1, 2
- case data and eventually die: 1
- case data and fatality ratio: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- case data and health planning: 1, 2, 3, 4, 5, 6, 7, 8
- case data and health planning inform: 1
- case data and IFR infection fatality ratio: 1, 2, 3, 4
- CFR estimate and data source: 1
- CFR estimate and death case: 1, 2, 3, 4, 5, 6, 7
- CFR estimate and fatality ratio: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20
- CFR estimate and health planning: 1
Co phrase search for related documents, hyperlinks ordered by date