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

Renan C. Castillo; Elena D. Staguhn; Elias Weston-Farber

doi:10.1016/j.ajic.2020.05.017

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

Renan C. Castillo, Elena D. Staguhn, Elias Weston-Farber

Bloomberg School of Public Health

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	958-960
Number of pages	3
Journal	American Journal of Infection Control
Volume	48
Issue number	8
DOIs	https://doi.org/10.1016/j.ajic.2020.05.017
State	Published - Aug 2020

Keywords

Coronavirus
Epidemiology
Nonpharmaceutical intervention

ASJC Scopus subject areas

Epidemiology
Health Policy
Public Health, Environmental and Occupational Health
Infectious Diseases

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10.1016/j.ajic.2020.05.017

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title = "The effect of state-level stay-at-home orders on COVID-19 infection rates",

abstract = "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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author = "Castillo, {Renan C.} and Staguhn, {Elena D.} and Elias Weston-Farber",

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AU - Weston-Farber, Elias

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N2 - 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.

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

Abstract

Keywords

ASJC Scopus subject areas

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