The effect of state-level stay-at-home orders on COVID-19 infection rates
Open accessAbstract
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 UK Government introduced a directive, 'Stay home, Stay Safe, Protect the NHS' which introduced social distancing, working from home, wearing face masks in public places and 'shielding' for vulnerable groups to reduce the spread of Covid-19.
“The Government introduced a directive, ‘Stay home, Stay Safe, Protect the NHS’ which introduced social distancing, working from home, wearing face masks in public places and ‘shielding’ for vulnerable groups to reduce the spread of Covid-19 [2].”
From Legacy lessons from the COVID-19 era to improve trial participation and retention: Views from trial participants, PPIE contributors and trial staff across the NIHR portfolio (2024) · cites this paper as [2]
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- Authors
- Castillo, R. C., Staguhn, E. D., & Weston-Farber, E.
- Affiliations
- Johns Hopkins University (US)
- Corresponding author
- Castillo, Renan C.
- ORCID
- Staguhn, Elena D.
- Venue
- American Journal of Infection Control
- Publisher
- Elsevier BV
- Published
- 2020-08
- Volume
- 48
- Issue
- 8
- Pages
- 958-960
- ISSN
- 0196-6553 (ISSN-L)
- PMC
- PMC7246016
- OpenAlex
- W3027239575
- Cited by
- 66
- References
- 5
- Citations by year
- 2025: 1 · 2024: 8 · 2023: 7 · 2022: 18 · 2021: 25 · 2020: 7
- FWCI
- 2.26
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- American Journal of Infection Control (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Social Sciences › Sociology and Political Science › COVID-19 Prevention and Impact
- Physical Sciences › Environmental Science › Global and Planetary Change › COVID-19 impact on air quality
- Keywords
- COVID-19 pandemic, stay-at-home orders, non-pharmaceutical interventions, confirmed cases, infection rate, public health policy, pandemic response, state-level policy evaluation
- MeSH terms
- Betacoronavirus, COVID-19, SARS-CoV-2, Humans, Pneumonia, Viral, Coronavirus Infections, Pandemics
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