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Article: Effect of specific non-pharmaceutical intervention policies on SARS-CoV-2 transmission in the counties of the United States
Title | Effect of specific non-pharmaceutical intervention policies on SARS-CoV-2 transmission in the counties of the United States |
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Authors | Yang, BingyiHuang, Angkana T.Garcia-Carreras, BernardoHart, William E.Staid, AndreaHitchings, Matt D.T.Lee, Elizabeth C.Howe, Chanelle J.Grantz, Kyra H.Wesolowksi, AmyLemaitre, Joseph ChadiRattigan, SusanMoreno, CarlosBorgert, Brooke A.Dale, CelesteQuigley, NicoleCummings, AndrewMcLorg, AlizéeLoMonaco, KaeleneSchlossberg, SarahBarron-Kraus, DrewShrock, HarrisonKhoury, StephanieIndra, MeenalYau, Hung LeongCummings, BenGiannas, PeterMcLean, Martha GraceHubbard, KenSaunders, CamaziaWeldon, CarolinePhillips, CarolineRosenbaum, DavidTabla, DianelysLessler, JustinLaird, Carl D.Cummings, Derek A.T. |
Issue Date | 2021 |
Citation | Nature Communications, 2021, v. 12, n. 1, article no. 3560 How to Cite? |
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. |
Persistent Identifier | http://hdl.handle.net/10722/318928 |
PubMed Central ID | |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Yang, Bingyi | - |
dc.contributor.author | Huang, Angkana T. | - |
dc.contributor.author | Garcia-Carreras, Bernardo | - |
dc.contributor.author | Hart, William E. | - |
dc.contributor.author | Staid, Andrea | - |
dc.contributor.author | Hitchings, Matt D.T. | - |
dc.contributor.author | Lee, Elizabeth C. | - |
dc.contributor.author | Howe, Chanelle J. | - |
dc.contributor.author | Grantz, Kyra H. | - |
dc.contributor.author | Wesolowksi, Amy | - |
dc.contributor.author | Lemaitre, Joseph Chadi | - |
dc.contributor.author | Rattigan, Susan | - |
dc.contributor.author | Moreno, Carlos | - |
dc.contributor.author | Borgert, Brooke A. | - |
dc.contributor.author | Dale, Celeste | - |
dc.contributor.author | Quigley, Nicole | - |
dc.contributor.author | Cummings, Andrew | - |
dc.contributor.author | McLorg, Alizée | - |
dc.contributor.author | LoMonaco, Kaelene | - |
dc.contributor.author | Schlossberg, Sarah | - |
dc.contributor.author | Barron-Kraus, Drew | - |
dc.contributor.author | Shrock, Harrison | - |
dc.contributor.author | Khoury, Stephanie | - |
dc.contributor.author | Indra, Meenal | - |
dc.contributor.author | Yau, Hung Leong | - |
dc.contributor.author | Cummings, Ben | - |
dc.contributor.author | Giannas, Peter | - |
dc.contributor.author | McLean, Martha Grace | - |
dc.contributor.author | Hubbard, Ken | - |
dc.contributor.author | Saunders, Camazia | - |
dc.contributor.author | Weldon, Caroline | - |
dc.contributor.author | Phillips, Caroline | - |
dc.contributor.author | Rosenbaum, David | - |
dc.contributor.author | Tabla, Dianelys | - |
dc.contributor.author | Lessler, Justin | - |
dc.contributor.author | Laird, Carl D. | - |
dc.contributor.author | Cummings, Derek A.T. | - |
dc.date.accessioned | 2022-10-11T12:24:53Z | - |
dc.date.available | 2022-10-11T12:24:53Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Nature Communications, 2021, v. 12, n. 1, article no. 3560 | - |
dc.identifier.uri | http://hdl.handle.net/10722/318928 | - |
dc.description.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. | - |
dc.language | eng | - |
dc.relation.ispartof | Nature Communications | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.title | Effect of specific non-pharmaceutical intervention policies on SARS-CoV-2 transmission in the counties of the United States | - |
dc.type | Article | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1038/s41467-021-23865-8 | - |
dc.identifier.pmid | 34117244 | - |
dc.identifier.pmcid | PMC8195990 | - |
dc.identifier.scopus | eid_2-s2.0-85107809637 | - |
dc.identifier.volume | 12 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | article no. 3560 | - |
dc.identifier.epage | article no. 3560 | - |
dc.identifier.eissn | 2041-1723 | - |
dc.identifier.isi | WOS:000663756500009 | - |