Author: James H. Fowler; Seth J. Hill; Nick Obradovich; Remy Levin
Title: The Effect of Stay-at-Home Orders on COVID-19 Infections in the United States Document date: 2020_4_17
ID: 4s8unfnk_13
Snippet: Because we do not know the temporal dynamics of stay-at-home orders, we measure the effect of stay-at-home orders non-parametrically as they unfold in the days following the order. We sum ( ) over all possible observations of number of days prior to or after an order (excluding ∑ τ≠−1 τ the reference day immediately prior to the order). For each , we estimate an effect size − τ = 1 τ using a set of indicator variables that equal 1 if .....
Document: Because we do not know the temporal dynamics of stay-at-home orders, we measure the effect of stay-at-home orders non-parametrically as they unfold in the days following the order. We sum ( ) over all possible observations of number of days prior to or after an order (excluding ∑ τ≠−1 τ the reference day immediately prior to the order). For each , we estimate an effect size − τ = 1 τ using a set of indicator variables that equal 1 if the number of days since a stay-at-home δ τ x ctτ 5 . CC-BY 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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