Author: Jinghua Li; Yijing Wang; Stuart Gilmour; Mengying Wang; Daisuke Yoneoka; Ying Wang; Xinyi You; Jing Gu; Chun Hao; Liping Peng; Zhicheng Du; Dong Roman Xu; Yuantao Hao
Title: Estimation of the epidemic properties of the 2019 novel coronavirus: A mathematical modeling study Document date: 2020_2_20
ID: nzynerfu_15
Snippet: From figure 1 it is clear that models that estimated low values for the basic reproduction number in the pre-closure period or the entire period, such as the Sequential Bayesian model, produced very poor predictions that under-estimated the epidemic, and the bestfitting models were those that identified basic reproduction numbers over 4 in the preclosure period, and over 3 in the entire epidemic period......
Document: From figure 1 it is clear that models that estimated low values for the basic reproduction number in the pre-closure period or the entire period, such as the Sequential Bayesian model, produced very poor predictions that under-estimated the epidemic, and the bestfitting models were those that identified basic reproduction numbers over 4 in the preclosure period, and over 3 in the entire epidemic period.
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