Strengthening policy coding methodologies to improve COVID-19 disease modeling and policy responses: a proposed coding framework and recommendations.

ABSTRACT:

Background

In recent months, multiple efforts have sought to characterize COVID-19 social distancing policy responses. These efforts have used various coding frameworks, but many have relied on coding methodologies that may not adequately describe the gradient in social distancing policies as states "re-open."

Methods

We developed a COVID-19 social distancing intensity framework that is sufficiently specific and sensitive to capture this gradient. Based on a review of policies from a 12 U.S. state sample, we developed a social distancing intensity framework consisting of 16 domains and intensity scales of 0-5 for each domain.

Results

We found that the states with the highest average daily intensity from our sample were Pennsylvania, Washington, Colorado, California, a

SUBMITTER: Lane J 

PROVIDER: S-EPMC7721792 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature