The COVID-19 Pandemic, Community Mobility and the Effectiveness of Non-pharmaceutical Interventions: The United States of America, February to May 2020
Ian E. Fellows, Rachel B. Slayton, Avi J. Hakim

TL;DR
This study used a Bayesian approach to analyze how non-pharmaceutical interventions and mobility reductions impacted COVID-19 transmission in the US from February to May 2020, highlighting the importance of mobility changes.
Contribution
It provides a quantitative analysis of the relationship between mobility, NPIs, and COVID-19 transmission, using a Bayesian framework to estimate effects over time.
Findings
A 10% decrease in mobility correlates with a 10.2% reduction in Rt.
NPIs like gathering limits, school closures, and stay-at-home orders contributed to a 48% decrease in Rt.
Mobility reduction trends may reflect behavioral responses to perceived risk.
Abstract
Background: The impact of individual non-pharmaceutical interventions (NPI) such as state-wide stay-at-home orders, school closures and gathering size limitations, on the COVID-19 epidemic is unknown. Understanding the impact that above listed NPI have on disease transmission is critical for policy makers, particularly as case counts increase again in some areas. Methods: Using a Bayesian framework, we reconstructed the incidence and time-varying reproductive number (Rt) curves to investigate the relationship between Rt, individual mobility as measured by Google Community Mobility Reports, and NPI. Results: We found a strong relationship between reproductive number and mobility, with each 10% drop in mobility being associated with an expected 10.2% reduction in Rt compared to baseline. The effects of limitations on the size of gatherings, school and business closures, and…
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Taxonomy
TopicsCOVID-19 epidemiological studies · Food Security and Health in Diverse Populations · COVID-19 and healthcare impacts
