Author: Solomon Hsiang; Daniel Allen; Sebastien Annan-Phan; Kendon Bell; Ian Bolliger; Trinetta Chong; Hannah Druckenmiller; Andrew Hultgren; Luna Yue Huang; Emma Krasovich; Peiley Lau; Jaecheol Lee; Esther Rolf; Jeanette Tseng; Tiffany Wu
Title: The Effect of Large-Scale Anti-Contagion Policies on the Coronavirus (COVID-19) Pandemic Document date: 2020_3_27
ID: gtfx5cp4_70
Snippet: where S t is the susceptible population and R t is the removed population. Here β t is a time-evolving parameter, determined via our empirical estimates as described below. Accounting for changes in S becomes increasingly important as the size of cumulative infections (I t + R t ) becomes a substantial fraction of the local subnational population, which occurs in some "no policy" scenarios. Our reduced-form analysis provides estimates for the gr.....
Document: where S t is the susceptible population and R t is the removed population. Here β t is a time-evolving parameter, determined via our empirical estimates as described below. Accounting for changes in S becomes increasingly important as the size of cumulative infections (I t + R t ) becomes a substantial fraction of the local subnational population, which occurs in some "no policy" scenarios. Our reduced-form analysis provides estimates for the growth rate of active infections (Ä) for each locality and day, in a regime where S t ≈ 1. Thus, rearranging Equation 9, we know
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