Author: Feng Lin; Yi Huang; Huifang Zhang; Xu He; Yonghua Yin; Jiaxin Liu
Title: Evaluating the different control policies for COVID-19 between mainland China and European countries by a mathematical model in the confirmed cases Document date: 2020_4_22
ID: lgdsi48m_42
Snippet: The reason why we wrote 1 1 before the transition rate of infection is that it is assumed that the contact in fact occurs one by one quite often. The dimension of 1 1 is per person i.e. I(t) 1 is dimensionless. For calculation convenience, we just figure out the variable part. According to the data given by Chinese CDC and NHC, the bound of infection coefficient is r 1 ∈ (0.02, 0.21). It is hard to give a formula to describe r 1 . The best way .....
Document: The reason why we wrote 1 1 before the transition rate of infection is that it is assumed that the contact in fact occurs one by one quite often. The dimension of 1 1 is per person i.e. I(t) 1 is dimensionless. For calculation convenience, we just figure out the variable part. According to the data given by Chinese CDC and NHC, the bound of infection coefficient is r 1 ∈ (0.02, 0.21). It is hard to give a formula to describe r 1 . The best way is to choose an exact number in its 95% confidence interval to set r 1 . The statistical character of infection coefficient is given by table 1. The confidence interval is figured by the population mean estimated from the actual data:
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