Selected article for: "cc ND international license and death rate"

Author: ibrahim Halil Aslan; Mahir Demir; Michael Morgan Wise; Suzanne Lenhart
Title: Modeling COVID-19: Forecasting and analyzing the dynamics of the outbreak in Hubei and Turkey
  • Document date: 2020_4_15
  • ID: fsjze3t2_28
    Snippet: where C i andĈ l are exact and estimated cumulative(infected) cases, and D i andD l are exact and estimated cumulative deaths. To estimate the number of COVID-19 deaths, we sum the number of deaths coming from the infected class I and the reported (infected) class I q . Note that the natural deaths in the infected class I and the reported (infected) class I q are also included in the total number of deaths. We used an ode45 solver with fmincon f.....
    Document: where C i andĈ l are exact and estimated cumulative(infected) cases, and D i andD l are exact and estimated cumulative deaths. To estimate the number of COVID-19 deaths, we sum the number of deaths coming from the infected class I and the reported (infected) class I q . Note that the natural deaths in the infected class I and the reported (infected) class I q are also included in the total number of deaths. We used an ode45 solver with fmincon from the Optimization Toolbox of MATLAB. By using the initial conditions: S(0) = 59, 000, 000, S q (0) = 0, I q (0) = 258, and R(0) = 0, we estimate all the parameters of the model together with estimating the initial number of exposed E and infected I, except the natural death rate d, recruitment rate Π, and incubation period α. We used 4.2 days for the average incubation period . CC-BY-ND 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.

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