Selected article for: "absolute size and actual data set comparison"
Author: B Shayak; Mohit Manoj Sharma; Richard H Rand; Awadhesh Kumar Singh; Anoop Misra
Title: Transmission Dynamics of COVID-19 and Impact on Public Health Policy
  • Document date: 2020_4_1
    • ID: 3ueg2i6w_55
    Snippet: • To the largest extent, increasing k0 brings the peak in w closer to the start of free evolution of the disease • The slope of w in the post-peak linear regime is governed by k3 and μ2 • The initial value of x determines the absolute size of w • The parameter k4 has little effect on the dynamics We find a good fit to the South Korea data for the following parameter values : τ1 = 7, τ2 = 3, τ3 = 2, x (0) = 12900, k0 = 0.000063, k3 = 0.....
    Document: • To the largest extent, increasing k0 brings the peak in w closer to the start of free evolution of the disease • The slope of w in the post-peak linear regime is governed by k3 and μ2 • The initial value of x determines the absolute size of w • The parameter k4 has little effect on the dynamics We find a good fit to the South Korea data for the following parameter values : τ1 = 7, τ2 = 3, τ3 = 2, x (0) = 12900, k0 = 0.000063, k3 = 0.0004, k4 = 0.00004 μ1 = 0.18 and μ2 = 0.04. We plot the run upto a time of 60 days, 11 days beyond the available data records. is the author/funder, who has granted medRxiv a license to display the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.03. 29.20047035 doi: medRxiv preprint Figure 6 : Simulation of the model for Korea and comparison with the actual data set.

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