County-Level Social Distancing and Policy Impact in the United States: A Dynamical Systems Model.

ABSTRACT:

Background

Social distancing and public policy have been crucial for minimizing the spread of SARS-CoV-2 in the United States. Publicly available, county-level time series data on mobility are derived from individual devices with global positioning systems, providing a variety of indices of social distancing behavior per day. Such indices allow a fine-grained approach to modeling public behavior during the pandemic. Previous studies of social distancing and policy have not accounted for the occurrence of pre-policy social distancing and other dynamics reflected in the long-term trajectories of public mobility data.

Objective

We propose a differential equation state-space model of county-level social distancing that accounts for distancing behavior leading up to the first off

SUBMITTER: McKee KL 

PROVIDER: S-EPMC7759510 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature