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
Descripción
Sumario: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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