Author: Debashree Ray; Maxwell Salvatore; Rupam Bhattacharyya; Lili Wang; Shariq Mohammed; Soumik Purkayastha; Aritra Halder; Alexander Rix; Daniel Barker; Michael Kleinsasser; Yiwang Zhou; Peter Song; Debraj Bose; Mousumi Banerjee; Veerabhadran Baladandayuthapani; Parikshit Ghosh; Bhramar Mukherjee
Title: Predictions, role of interventions and effects of a historic national lockdown in India's response to the COVID-19 pandemic: data science call to arms Document date: 2020_4_18
ID: 3a3c8ee1_20
Snippet: To assess the long-term impact of lockdown duration, we considered four scenarios: 21-, 28-, 42-, and 56-day lockdown periods. In all scenarios, we assume mean for R0 prior remains at 0.8 for the duration of the lockdown and returns to 1.5 three weeks after the lockdown period ends (analogous to the "moderate return" scenario). The changes to R0 values across our simulation scenarios are depicted in Supplementary Figure 4 ......
Document: To assess the long-term impact of lockdown duration, we considered four scenarios: 21-, 28-, 42-, and 56-day lockdown periods. In all scenarios, we assume mean for R0 prior remains at 0.8 for the duration of the lockdown and returns to 1.5 three weeks after the lockdown period ends (analogous to the "moderate return" scenario). The changes to R0 values across our simulation scenarios are depicted in Supplementary Figure 4 .
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