The effect of state-level stay-at-home orders on COVID-19 infection rates

State-level stay-at-home orders were monitored to determine their effect on the rate of confirmed COVID-19 diagnoses. Confirmed cases were tracked before and after state-level stay-at-home orders were put in place. Linear regression techniques were used to determine slopes for log case count data, a...

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Detalles Bibliográficos
Autores principales: Castillo, Renan C., Staguhn, Elena D., Weston-Farber, Elias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. 2020
Materias:
Brief Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7246016/
https://www.ncbi.nlm.nih.gov/pubmed/32461066
http://dx.doi.org/10.1016/j.ajic.2020.05.017
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author Castillo, Renan C.
Staguhn, Elena D.
Weston-Farber, Elias
author_facet Castillo, Renan C.
Staguhn, Elena D.
Weston-Farber, Elias
author_sort Castillo, Renan C.
collection PubMed
description State-level stay-at-home orders were monitored to determine their effect on the rate of confirmed COVID-19 diagnoses. Confirmed cases were tracked before and after state-level stay-at-home orders were put in place. Linear regression techniques were used to determine slopes for log case count data, and meta analyses were conducted to combine data across states. The results were remarkably consistent across states and support the usefulness of stay-at-home orders in reducing COVID-19 infection rates.
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spelling pubmed-72460162020-05-26 The effect of state-level stay-at-home orders on COVID-19 infection rates Castillo, Renan C. Staguhn, Elena D. Weston-Farber, Elias Am J Infect Control Brief Report State-level stay-at-home orders were monitored to determine their effect on the rate of confirmed COVID-19 diagnoses. Confirmed cases were tracked before and after state-level stay-at-home orders were put in place. Linear regression techniques were used to determine slopes for log case count data, and meta analyses were conducted to combine data across states. The results were remarkably consistent across states and support the usefulness of stay-at-home orders in reducing COVID-19 infection rates. Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. 2020-08 2020-05-24 /pmc/articles/PMC7246016/ /pubmed/32461066 http://dx.doi.org/10.1016/j.ajic.2020.05.017 Text en © 2020 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
Castillo, Renan C.
Staguhn, Elena D.
Weston-Farber, Elias
The effect of state-level stay-at-home orders on COVID-19 infection rates
title The effect of state-level stay-at-home orders on COVID-19 infection rates
title_full The effect of state-level stay-at-home orders on COVID-19 infection rates
title_fullStr The effect of state-level stay-at-home orders on COVID-19 infection rates
title_full_unstemmed The effect of state-level stay-at-home orders on COVID-19 infection rates
title_short The effect of state-level stay-at-home orders on COVID-19 infection rates
title_sort effect of state-level stay-at-home orders on covid-19 infection rates
topic Brief Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7246016/
https://www.ncbi.nlm.nih.gov/pubmed/32461066
http://dx.doi.org/10.1016/j.ajic.2020.05.017
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