Selected article for: "actual number and predicted number"
Author: Rajesh Ranjan
Title: Estimating the Final Epidemic Size for COVID-19 Outbreak using Improved Epidemiological Models
  • Document date: 2020_4_16
    • ID: emyuny1a_32
    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 [6] . For this purpose, the fitViruscv19v3 code developed by Batista [7] is used. In this, to estimate the parameters and initial value.....
    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 [6] . For this purpose, the fitViruscv19v3 code developed by Batista [7] is used. In this, to estimate the parameters and initial values, the differences between the actual and predicted number of cases with time are minimized using MATLAB function fminsearch. The SIR equations are integrated using MATLAB function ode45.

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