Selected article for: "completely susceptible population and infected people"
Author: Rajesh Ranjan
Title: Predictions for COVID-19 outbreak in India using Epidemiological models
  • Document date: 2020_4_6
    • ID: 3vntjg8d_20
    Snippet: We assume a disease-free equilibrium (DFE) for a completely susceptible population i.e. the final number of infected people is zero. In the current approach, the initial guess of γ and β are obtained by setting R(0) = 0 and then the SIR equations are solved. Details of the implementation can be found in Batista [14] . For the COVID-19 predictions in China, Batista [14] has shown that both logistic and SIR give similar results. Hence, in this st.....
    Document: We assume a disease-free equilibrium (DFE) for a completely susceptible population i.e. the final number of infected people is zero. In the current approach, the initial guess of γ and β are obtained by setting R(0) = 0 and then the SIR equations are solved. Details of the implementation can be found in Batista [14] . For the COVID-19 predictions in China, Batista [14] has shown that both logistic and SIR give similar results. Hence, in this study only SIR results are included. For this purpose, the fitViruscv19v3 code developed by McGee [15] is used.

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