Selected article for: "contact rate and Î find"
Author: Archisman Mazumder; Mehak Arora; Vishwesh Bharadiya; Parul Berry; Mudit Agarwal; Mohak Gupta; Priyamadhaba Behera
Title: Study of Epidemiological Characteristics and In-silico Analysis of the Effect of Interventions in the SARS-CoV-2 Epidemic in India
  • Document date: 2020_4_7
    • ID: jmsg9d52_28
    Snippet: We have used the data available till 4th April to estimate the two parameters, β and R t (time varying reproductive number) with the help of SIR model (www.statista.com). We assumed that the recovery rate γ would remain constant for the population. The removal rate followed a normal distribution, and the mean was calculated with the data available from 01 March to April 04, 2020 (22). Since the effect of interventions would reflect in the conta.....
    Document: We have used the data available till 4th April to estimate the two parameters, β and R t (time varying reproductive number) with the help of SIR model (www.statista.com). We assumed that the recovery rate γ would remain constant for the population. The removal rate followed a normal distribution, and the mean was calculated with the data available from 01 March to April 04, 2020 (22). Since the effect of interventions would reflect in the contact rate β, we then took the value of γ to be constant equal to the mean (0.103) and ran the SIR model multiple times by varying the value of β, and comparing the trends with the real data. We plotted the trendline for the real data using Microsoft Office Excel 2007, and used the equation of the curve to find out the trend of β in India in the present day scenario by comparing it to equation 4.

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