Author: Mark J Siedner; Guy Harling; Zahra Reynolds; Rebecca F Gilbert; Atheendar Venkataramani; Alexander C Tsai
Title: Social distancing to slow the U.S. COVID-19 epidemic: an interrupted time-series analysis Document date: 2020_4_8
ID: ls408b2b_6
Snippet: Our primary outcome was the rate of change in daily COVID-19 cases in each state, calculated as the natural log of cases on each date minus the natural log of cases on the prior date. Analysis was restricted to days in which a state had at least 30 cumulative cases reported, to minimize effects of volatile rate changes early in the epidemic. Our primary exposure of interest was time, measured as a continuous variable and divided into two periods:.....
Document: Our primary outcome was the rate of change in daily COVID-19 cases in each state, calculated as the natural log of cases on each date minus the natural log of cases on the prior date. Analysis was restricted to days in which a state had at least 30 cumulative cases reported, to minimize effects of volatile rate changes early in the epidemic. Our primary exposure of interest was time, measured as a continuous variable and divided into two periods: pre-implementation (14 days prior, through three days after, implementation of the first statewide social distancing measure) versus post-All rights reserved. No reuse allowed without permission. author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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