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The impact of statewide school closures on COVID-19 infection rates
Daily COVID-19 infection rates were examined before and after statewide school closure orders. Regression techniques were used to model changes in the number of confirmed cases and data was combined across states using meta analyses. School closures were found to have a significant impact on infecti...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7831551/ https://www.ncbi.nlm.nih.gov/pubmed/33428984 http://dx.doi.org/10.1016/j.ajic.2021.01.002 |
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author | Staguhn, Elena D. Weston-Farber, Elias Castillo, Renan C. |
author_facet | Staguhn, Elena D. Weston-Farber, Elias Castillo, Renan C. |
author_sort | Staguhn, Elena D. |
collection | PubMed |
description | Daily COVID-19 infection rates were examined before and after statewide school closure orders. Regression techniques were used to model changes in the number of confirmed cases and data was combined across states using meta analyses. School closures were found to have a significant impact on infection rates, and thus, may be considered a viable intervention to lower COVID-19 infection rates. |
format | Online Article Text |
id | pubmed-7831551 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78315512021-01-26 The impact of statewide school closures on COVID-19 infection rates Staguhn, Elena D. Weston-Farber, Elias Castillo, Renan C. Am J Infect Control Brief Report Daily COVID-19 infection rates were examined before and after statewide school closure orders. Regression techniques were used to model changes in the number of confirmed cases and data was combined across states using meta analyses. School closures were found to have a significant impact on infection rates, and thus, may be considered a viable intervention to lower COVID-19 infection rates. Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. 2021-04 2021-01-08 /pmc/articles/PMC7831551/ /pubmed/33428984 http://dx.doi.org/10.1016/j.ajic.2021.01.002 Text en © 2021 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Brief Report Staguhn, Elena D. Weston-Farber, Elias Castillo, Renan C. The impact of statewide school closures on COVID-19 infection rates |
title | The impact of statewide school closures on COVID-19 infection rates |
title_full | The impact of statewide school closures on COVID-19 infection rates |
title_fullStr | The impact of statewide school closures on COVID-19 infection rates |
title_full_unstemmed | The impact of statewide school closures on COVID-19 infection rates |
title_short | The impact of statewide school closures on COVID-19 infection rates |
title_sort | impact of statewide school closures on covid-19 infection rates |
topic | Brief Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7831551/ https://www.ncbi.nlm.nih.gov/pubmed/33428984 http://dx.doi.org/10.1016/j.ajic.2021.01.002 |
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