Author: Rajesh Ranjan
Title: Predictions for COVID-19 outbreak in India using Epidemiological models Document date: 2020_4_6
ID: 3vntjg8d_45
Snippet: A recent study by Mandal et al. [20] has shown that social distancing can reduce cases by up to 62%. Assuming the uncertainty about the compliance in the enforcement of lockdown, we predict the social distancing effects with reductions of 30%, 50% and 70%. Figure 5 shows the impact of social distancing in these scenarios. Exponential growth is assumed throughout to account for the worst-case scenario. A reduction of 70% can bring the cases to a m.....
Document: A recent study by Mandal et al. [20] has shown that social distancing can reduce cases by up to 62%. Assuming the uncertainty about the compliance in the enforcement of lockdown, we predict the social distancing effects with reductions of 30%, 50% and 70%. Figure 5 shows the impact of social distancing in these scenarios. Exponential growth is assumed throughout to account for the worst-case scenario. A reduction of 70% can bring the cases to a more controllable number i.e. a total of around 28,000 patients on April 20. Further, If India follows the case isolation strategy strictly, it is expected that this curve will start flattening out after that date (estimated based on the date from Hubei in Figure 4(a) ).
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