Author: Qingyang Xu; Shomesh Chaudhuri; Danying Xiao; Andrew W Lo
Title: Bayesian Adaptive Clinical Trials for Anti-Infective Therapeutics during Epidemic Outbreaks Document date: 2020_4_14
ID: 20hk99h4_17
Snippet: To model the significant variability in mortality rates of COVID-19 for patients in different age groups, we extend this basic model to a multi-group SEIR model, where the population is partitioned into five age groups, (1) below 49, (2) 50 to 59, (3) 60 to 69, (4) 70 to 79, and (5) above 80. We use , , , and to denote the corresponding type in each group (and continue to use , , , and for the total proportion of each type in all groups). The dyn.....
Document: To model the significant variability in mortality rates of COVID-19 for patients in different age groups, we extend this basic model to a multi-group SEIR model, where the population is partitioned into five age groups, (1) below 49, (2) 50 to 59, (3) 60 to 69, (4) 70 to 79, and (5) above 80. We use , , , and to denote the corresponding type in each group (and continue to use , , , and for the total proportion of each type in all groups). The dynamics of the epidemic are specified by the modified ordinary differential equations:
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