Author: Richard M Wood; Christopher J McWilliams; Matthew J Thomas; Christopher P Bourdeaux; Christos Vasilakis
Title: COVID-19 scenario modelling for the mitigation of capacity-dependent deaths in intensive care: computer simulation study Document date: 2020_4_6
ID: e79k4q76_19
Snippet: Given that only a handful of COVID-19 patients are, at the time of the study, admitted to an intensive care bed at the hospital (and none have either died or been discharged, i.e. observations are rightcensored), information regarding intensive care length of stay is taken from the literature. Deasy et al, 2020 estimate this to be gamma-distributed with = 8 and = 1 (see Figure 2 ), based on an analysis of experience from Wuhan (Zhou et al, 2020 ,.....
Document: Given that only a handful of COVID-19 patients are, at the time of the study, admitted to an intensive care bed at the hospital (and none have either died or been discharged, i.e. observations are rightcensored), information regarding intensive care length of stay is taken from the literature. Deasy et al, 2020 estimate this to be gamma-distributed with = 8 and = 1 (see Figure 2 ), based on an analysis of experience from Wuhan (Zhou et al, 2020 , Yang et al, 2020 . Early observations of COVID-19 . CC-BY-NC 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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