Effect of specific non-pharmaceutical intervention policies on SARS-CoV-2 transmission in the counties of the United States

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Author(s)

Author Name

Bingyi Yang

Published 2 Projects

Epidemiology Infectious Diseases

Angkana T. Huang

Published 2 Projects

Epidemiology Infectious Diseases

Bernardo Garcia-Carreras

Published 2 Projects

Epidemiology Infectious Diseases

William E. Hart

Published 1 Project

Epidemiology

Andrea Staid

Published 1 Project

Epidemiology

Matt D.T. Hitchings

Published 2 Projects

Epidemiology Infectious Diseases

Elizabeth C Lee

Published 1 Project

Epidemiology

Chanelle J. Howe

Published 1 Project

Epidemiology

Kyra H Grantz

Published 1 Project

Epidemiology

Amy Wesolowksi

Published 1 Project

Epidemiology

Joseph C Lemaitre

Published 1 Project

Epidemiology

Susan Rattigan

Published 1 Project

Epidemiology

Carlos Moreno

Published 2 Projects

Epidemiology Infectious Diseases

Brooke Borgert

Published 2 Projects

Epidemiology Infectious Diseases

Celeste Dale

Published 1 Project

Epidemiology

Nicole Quigley

Published 1 Project

Epidemiology

Andrew Cummings

Published 1 Project

Epidemiology

Alizée McLorg

Published 1 Project

Epidemiology

Kaelene LoMonaco

Published 1 Project

Epidemiology

Sarah Schlossberg

Published 1 Project

Epidemiology

Drew Barron-Kraus

Published 1 Project

Epidemiology

Harrison Shrock

Published 1 Project

Epidemiology

UFCOVID Interventions Team

Published 1 Project

Epidemiology

Justin Lessler

Published 3 Projects

Epidemiology Infectious Diseases

Justin Lessler

Published 3 Projects

Epidemiology Infectious Diseases

Derek A. T. Cummings

Published 2 Projects

Epidemiology Infectious Diseases

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Non-pharmaceutical interventions (NPIs) remain the only widely available tool for controlling the ongoing SARS-CoV-2 pandemic. We estimated weekly values of the effective basic reproductive number (Reff) using a mechanistic metapopulation model and associated these with county-level characteristics and NPIs in the United States (US). Interventions that included school and leisure activities closure and nursing home visiting bans were all associated with an Reff below 1 when combined with either stay at home orders (median Reff 0.97, 95% confidence interval (CI) 0.58-1.39)* or face masks (median Reff 0.97, 95% CI 0.58-1.39)*. While direct causal effects of interventions remain unclear, our results suggest that relaxation of some NPIs will need to be counterbalanced by continuation and/or implementation of others.

Epidemiology
Epidemiology 25 Projects