Effect of Timing of and Adherence to Social Distancing Measures on COVID-19 Burden in the United States : A Simulation Modeling Approach.

Abstract

Across the United States, various social distancing measures were implemented to control the spread of coronavirus disease 2019 (COVID-19). However, the effectiveness of such measures for specific regions with varying population demographic characteristics and different levels of adherence to social distancing is uncertain. To determine the effect of social distancing measures in unique regions. An agent-based simulation model. Agent-based model applied to Dane County, Wisconsin; the Milwaukee metropolitan (metro) area; and New York City (NYC). Synthetic population at different ages. Different times for implementing and easing social distancing measures at different levels of adherence. The model represented the social network and interactions among persons in a region, considering population demographic characteristics, limited testing availability, "imported" infections, asymptomatic disease transmission, and age-specific adherence to social distancing measures. The primary outcome was the total number of confirmed COVID-19 cases. The timing of and adherence to social distancing had a major effect on COVID-19 occurrence. In NYC, implementing social distancing measures 1 week earlier would have reduced the total number of confirmed cases from 203261 to 41366 as of 31 May 2020, whereas a 1-week delay could have increased the number of confirmed cases to 1407600. A delay in implementation had a differential effect on the number of cases in the Milwaukee metro area versus Dane County, indicating that the effect of social distancing measures varies even within the same state. The effect of weather conditions on transmission dynamics was not considered. The timing of implementing and easing social distancing measures has major effects on the number of COVID-19 cases. National Institute of Allergy and Infectious Diseases.