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The association of opening K–12 schools with the spread of COVID-19 in the United States: County-level panel data analysis

This paper empirically examines how the opening of K–12 schools is associated with the spread of COVID-19 using county-level panel data in the United States. As preliminary evidence, our event-study analysis indicates that cases and deaths in counties with in-person or hybrid opening relative to tho...

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Autores principales: Chernozhukov, Victor, Kasahara, Hiroyuki, Schrimpf, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545468/
https://www.ncbi.nlm.nih.gov/pubmed/34642247
http://dx.doi.org/10.1073/pnas.2103420118
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author Chernozhukov, Victor
Kasahara, Hiroyuki
Schrimpf, Paul
author_facet Chernozhukov, Victor
Kasahara, Hiroyuki
Schrimpf, Paul
author_sort Chernozhukov, Victor
collection PubMed
description This paper empirically examines how the opening of K–12 schools is associated with the spread of COVID-19 using county-level panel data in the United States. As preliminary evidence, our event-study analysis indicates that cases and deaths in counties with in-person or hybrid opening relative to those with remote opening substantially increased after the school opening date, especially for counties without any mask mandate for staff. Our main analysis uses a dynamic panel data model for case and death growth rates, where we control for dynamically evolving mitigation policies, past infection levels, and additive county-level and state-week “fixed” effects. This analysis shows that an increase in visits to both K–12 schools and colleges is associated with a subsequent increase in case and death growth rates. The estimates indicate that fully opening K–12 schools with in-person learning is associated with a 5 (SE = 2) percentage points increase in the growth rate of cases. We also find that the association of K–12 school visits or in-person school openings with case growth is stronger for counties that do not require staff to wear masks at schools. These findings support policies that promote masking and other precautionary measures at schools and giving vaccine priority to education workers.
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spelling pubmed-85454682021-10-27 The association of opening K–12 schools with the spread of COVID-19 in the United States: County-level panel data analysis Chernozhukov, Victor Kasahara, Hiroyuki Schrimpf, Paul Proc Natl Acad Sci U S A Social Sciences This paper empirically examines how the opening of K–12 schools is associated with the spread of COVID-19 using county-level panel data in the United States. As preliminary evidence, our event-study analysis indicates that cases and deaths in counties with in-person or hybrid opening relative to those with remote opening substantially increased after the school opening date, especially for counties without any mask mandate for staff. Our main analysis uses a dynamic panel data model for case and death growth rates, where we control for dynamically evolving mitigation policies, past infection levels, and additive county-level and state-week “fixed” effects. This analysis shows that an increase in visits to both K–12 schools and colleges is associated with a subsequent increase in case and death growth rates. The estimates indicate that fully opening K–12 schools with in-person learning is associated with a 5 (SE = 2) percentage points increase in the growth rate of cases. We also find that the association of K–12 school visits or in-person school openings with case growth is stronger for counties that do not require staff to wear masks at schools. These findings support policies that promote masking and other precautionary measures at schools and giving vaccine priority to education workers. National Academy of Sciences 2021-10-12 2021-10-19 /pmc/articles/PMC8545468/ /pubmed/34642247 http://dx.doi.org/10.1073/pnas.2103420118 Text en Copyright © 2021 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by/4.0/This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Social Sciences
Chernozhukov, Victor
Kasahara, Hiroyuki
Schrimpf, Paul
The association of opening K–12 schools with the spread of COVID-19 in the United States: County-level panel data analysis
title The association of opening K–12 schools with the spread of COVID-19 in the United States: County-level panel data analysis
title_full The association of opening K–12 schools with the spread of COVID-19 in the United States: County-level panel data analysis
title_fullStr The association of opening K–12 schools with the spread of COVID-19 in the United States: County-level panel data analysis
title_full_unstemmed The association of opening K–12 schools with the spread of COVID-19 in the United States: County-level panel data analysis
title_short The association of opening K–12 schools with the spread of COVID-19 in the United States: County-level panel data analysis
title_sort association of opening k–12 schools with the spread of covid-19 in the united states: county-level panel data analysis
topic Social Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545468/
https://www.ncbi.nlm.nih.gov/pubmed/34642247
http://dx.doi.org/10.1073/pnas.2103420118
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