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Nursing home staff networks and COVID-19

Nursing homes and other long-term care facilities account for a disproportionate share of COVID-19 cases and fatalities worldwide. Outbreaks in US nursing homes have persisted despite nationwide visitor restrictions beginning in mid-March. An early report issued by the Centers for Disease Control an...

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Autores principales: Chen, M. Keith, Chevalier, Judith A., Long, Elisa F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7817179/
https://www.ncbi.nlm.nih.gov/pubmed/33323526
http://dx.doi.org/10.1073/pnas.2015455118
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author Chen, M. Keith
Chevalier, Judith A.
Long, Elisa F.
author_facet Chen, M. Keith
Chevalier, Judith A.
Long, Elisa F.
author_sort Chen, M. Keith
collection PubMed
description Nursing homes and other long-term care facilities account for a disproportionate share of COVID-19 cases and fatalities worldwide. Outbreaks in US nursing homes have persisted despite nationwide visitor restrictions beginning in mid-March. An early report issued by the Centers for Disease Control and Prevention identified staff members working in multiple nursing homes as a likely source of spread from the Life Care Center in Kirkland, WA, to other skilled nursing facilities. The full extent of staff connections between nursing homes—and the role these connections serve in spreading a highly contagious respiratory infection—is currently unknown given the lack of centralized data on cross-facility employment. We perform a large-scale analysis of nursing home connections via shared staff and contractors using device-level geolocation data from 50 million smartphones, and find that 5.1% of smartphone users who visited a nursing home for at least 1 h also visited another facility during our 11-wk study period—even after visitor restrictions were imposed. We construct network measures of connectedness and estimate that nursing homes, on average, share connections with 7.1 other facilities. Traditional federal regulatory metrics of nursing home quality are unimportant in predicting outbreaks, consistent with recent research. Controlling for demographic and other factors, a home’s staff network connections and its centrality within the greater network strongly predict COVID-19 cases.
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spelling pubmed-78171792021-01-28 Nursing home staff networks and COVID-19 Chen, M. Keith Chevalier, Judith A. Long, Elisa F. Proc Natl Acad Sci U S A Social Sciences Nursing homes and other long-term care facilities account for a disproportionate share of COVID-19 cases and fatalities worldwide. Outbreaks in US nursing homes have persisted despite nationwide visitor restrictions beginning in mid-March. An early report issued by the Centers for Disease Control and Prevention identified staff members working in multiple nursing homes as a likely source of spread from the Life Care Center in Kirkland, WA, to other skilled nursing facilities. The full extent of staff connections between nursing homes—and the role these connections serve in spreading a highly contagious respiratory infection—is currently unknown given the lack of centralized data on cross-facility employment. We perform a large-scale analysis of nursing home connections via shared staff and contractors using device-level geolocation data from 50 million smartphones, and find that 5.1% of smartphone users who visited a nursing home for at least 1 h also visited another facility during our 11-wk study period—even after visitor restrictions were imposed. We construct network measures of connectedness and estimate that nursing homes, on average, share connections with 7.1 other facilities. Traditional federal regulatory metrics of nursing home quality are unimportant in predicting outbreaks, consistent with recent research. Controlling for demographic and other factors, a home’s staff network connections and its centrality within the greater network strongly predict COVID-19 cases. National Academy of Sciences 2021-01-05 2020-12-28 /pmc/articles/PMC7817179/ /pubmed/33323526 http://dx.doi.org/10.1073/pnas.2015455118 Text en Copyright © 2021 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Social Sciences
Chen, M. Keith
Chevalier, Judith A.
Long, Elisa F.
Nursing home staff networks and COVID-19
title Nursing home staff networks and COVID-19
title_full Nursing home staff networks and COVID-19
title_fullStr Nursing home staff networks and COVID-19
title_full_unstemmed Nursing home staff networks and COVID-19
title_short Nursing home staff networks and COVID-19
title_sort nursing home staff networks and covid-19
topic Social Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7817179/
https://www.ncbi.nlm.nih.gov/pubmed/33323526
http://dx.doi.org/10.1073/pnas.2015455118
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