Author: Xutong Wang; Remy F Pasco; Zhanwei Du; Michaela Petty; Spencer J Fox; Alison P Galvani; Michael Pignone; S. Claiborne Johnston; Lauren Ancel Meyers
Title: Impact of Social Distancing Measures on COVID-19 Healthcare Demand in Central Texas Document date: 2020_4_22
ID: n0nch8he_45
Snippet: show simulation results for different levels of social distancing and implementation times, assuming an epidemic doubling time of (A) 7.2 days [22] [23] [24] [25] or (B) 4 days [25, 27, 28] . Each graph displays three projections: a baseline assuming no social distancing (red), social distancing implemented March 14-Aug 17, 2020 (blue), and social distancing implemented May 14-Aug 17, 2020 (black). From top to bottom, the graphs in each column co.....
Document: show simulation results for different levels of social distancing and implementation times, assuming an epidemic doubling time of (A) 7.2 days [22] [23] [24] [25] or (B) 4 days [25, 27, 28] . Each graph displays three projections: a baseline assuming no social distancing (red), social distancing implemented March 14-Aug 17, 2020 (blue), and social distancing implemented May 14-Aug 17, 2020 (black). From top to bottom, the graphs in each column correspond to increasingly stringent social distancing measures: school closures plus social distancing that reduces non-household contacts by 0%, 25%, 50%, 75%, or 90%. Solid lines indicate the median of 100 stochastic simulations; shading indicates the inner 95% range of values. The horizontal dotted lines beneath the curves indicate intervention periods. The faded mid-August to December time range indicates long-range uncertainty regarding COVID-19 transmission dynamics and intervention policies.
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