Author: Aravind Lathika Rajendrakumar; Anand Thakarakkattil Narayanan Nair; Charvi Nangia; Prabal Kumar Chourasia; Mehul Kumar Chourasia; Mohammad Ghouse Syed; Anu Sasidharan Nair; Arun B Nair; Muhammed Shaffi Fazaludeen Koya
Title: Epidemic Landscape and Forecasting of SARS-CoV-2 in India Document date: 2020_4_17
ID: mjqbvpw2_5
Snippet: where β is the disease transmission rate, γ is the recovery rate, α is the case fatality rate and Ï rate at which death occurs. β is the product of contact rate and transmission probability. As these parameters could not be estimated directly from the data, we back calculated β from R0 which was computed previously using Sequential Bayesian method. γ was calculated from infectious period -(1/ infectious period). Case fatality rate (α) can.....
Document: where β is the disease transmission rate, γ is the recovery rate, α is the case fatality rate and Ï rate at which death occurs. β is the product of contact rate and transmission probability. As these parameters could not be estimated directly from the data, we back calculated β from R0 which was computed previously using Sequential Bayesian method. γ was calculated from infectious period -(1/ infectious period). Case fatality rate (α) can be defined as deaths out of confirmed cases. Ï was estimated as inverse of time to death. We did not have Ï from our data and hence used estimated range of 2-8 weeks from the WHO report. 17 We used 5 weeks as the value of Ï for our study. The values of the parameters are as follows: R0=1.85, b=0.13, γ =0.07, α =0.035 and Ï=0.028.
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