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

Bingyi Yang, Angkana T. Huang, Bernardo Garcia-Carreras, William E. Hart, Andrea Staid, Matt D. T. Hitchings, Elizabeth C. Lee, Chanelle J. Howe, Kyra H. Grantz, Amy Wesolowksi, Joseph Chadi Lemaitre, Susan Rattigan, Carlos Moreno, Brooke A. Borgert, Celeste Dale, Nicole Quigley, Andrew Cummings, Alizée McLorg, Kaelene LoMonaco, Sarah Schlossberg, Drew Barron-Kraus, Harrison Shrock, Justin Lessler (), Carl D. Laird () and Derek A. T. Cummings ()
Additional contact information
Bingyi Yang: University of Florida
Angkana T. Huang: University of Florida
Bernardo Garcia-Carreras: University of Florida
William E. Hart: Sandia National Laboratories
Andrea Staid: Sandia National Laboratories
Matt D. T. Hitchings: University of Florida
Elizabeth C. Lee: Johns Hopkins Bloomberg School of Public Health
Chanelle J. Howe: Brown University School of Public Health
Kyra H. Grantz: Johns Hopkins Bloomberg School of Public Health
Amy Wesolowksi: Johns Hopkins Bloomberg School of Public Health
Joseph Chadi Lemaitre: École Polytechnique Fédérale de Lausanne
Susan Rattigan: University of Florida
Carlos Moreno: University of Florida
Brooke A. Borgert: University of Florida
Celeste Dale: University of Florida
Nicole Quigley: University of Florida
Andrew Cummings: Syracuse University
Alizée McLorg: Syracuse University
Kaelene LoMonaco: University of Florida
Sarah Schlossberg: Tulane University
Drew Barron-Kraus: University of Florida
Harrison Shrock: University of Florida
Justin Lessler: Johns Hopkins Bloomberg School of Public Health
Carl D. Laird: Sandia National Laboratories
Derek A. T. Cummings: University of Florida

Nature Communications, 2021, vol. 12, issue 1, 1-10

Abstract: Abstract 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 a median 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.

Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.nature.com/articles/s41467-021-23865-8 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-23865-8

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-021-23865-8

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().