Author: Liangrong Peng; Wuyue Yang; Dongyan Zhang; Changjing Zhuge; Liu Hong
Title: Epidemic analysis of COVID-19 in China by dynamical modeling Document date: 2020_2_18
ID: m87tapjp_47
Snippet: In this study, we propose a generalized SEIR model to analyze the epidemic of COVID-19, which was firstly reported in Wuhan last December and then quickly spread out nationwide in China. Our model properly incorporates the intrinsic impact of hidden exposed and infectious cases on the entire procedure of epidemic, which is difficult for traditional statistics analysis. A new quarantined state, together with the recovery state, takes replace of th.....
Document: In this study, we propose a generalized SEIR model to analyze the epidemic of COVID-19, which was firstly reported in Wuhan last December and then quickly spread out nationwide in China. Our model properly incorporates the intrinsic impact of hidden exposed and infectious cases on the entire procedure of epidemic, which is difficult for traditional statistics analysis. A new quarantined state, together with the recovery state, takes replace of the original R state in the classical SEIR model and correctly accounts for the daily reported confirmed infected cases and recovered cases.
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