Selected article for: "growth model and SIR model"

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_4
    Snippet: The SIR model is an effective model to predict the growth of the confirmed cases [9] . The parameters in the SIR model are usually constant [2] [3] [4] [5] . And the mortality is not taken into consideration. So far, the researchers have already taken banning of traffic into consideration. By retrospective study, it is found that the parameters are actually time-dependent. And the mortality may be an important variable during the outbreak of the .....
    Document: The SIR model is an effective model to predict the growth of the confirmed cases [9] . The parameters in the SIR model are usually constant [2] [3] [4] [5] . And the mortality is not taken into consideration. So far, the researchers have already taken banning of traffic into consideration. By retrospective study, it is found that the parameters are actually time-dependent. And the mortality may be an important variable during the outbreak of the disease. Even though the death is much less than the infected population, it needs to be considered. In the traditional SIR model, this kind of information is not taken into consideration. With these modifications, a new model proposed in this study is called the Susceptible-Infected-Recovered-Death (SIRD) model.

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