Timing of State and Territorial COVID-19 Stay-at-Home Orders and Changes in Population Movement — United States, March 1–May 31, 2020
Open accessAbstract
SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19), is thought to spread from person to person primarily by the respiratory route and mainly through close contact (1). Community mitigation strategies can lower the risk for disease transmission by limiting or preventing person-to-person interactions (2). U.S. states and territories began implementing various community mitigation policies in March 2020. One widely implemented strategy was the issuance of orders requiring persons to stay home, resulting in decreased population movement in some jurisdictions (3). Each state or territory has authority to enact its own laws and policies to protect the public's health, and jurisdictions varied widely in the type and timing of orders issued related to stay-at-home requirements. To identify the broader impact of these stay-at-home orders, using publicly accessible, anonymized location data from mobile devices, CDC and the Georgia Tech Research Institute analyzed changes in population movement relative to stay-at-home orders issued during March 1-May 31, 2020, by all 50 states, the District of Columbia, and five U.S. territories.* During this period, 42 states and territories issued mandatory stay-at-home orders. When counties subject to mandatory state- and territory-issued stay-at-home orders were stratified along rural-urban categories, movement decreased significantly relative to the preorder baseline in all strata. Mandatory stay-at-home orders can help reduce activities associated with the spread of COVID-19, including population movement and close person-to-person contact outside the household.
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During March-May 2020, eight of the 10 jurisdictions implemented some form of stay-at-home order (no orders were issued in Iowa and North Dakota).
“During March–May 2020, eight of the 10 jurisdictions implemented some form of stay-at-home order (no orders were issued in Iowa and North Dakota) (Supplementary Table, https://stacks.cdc.gov/view/cdc/106855) (7).”
From Impact of the COVID-19 Pandemic on Administration of Selected Routine Childhood and Adolescent Vaccinations — 10 U.S. Jurisdictions, March–September 2020 (2021) · cites this paper as [7]
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- [3]Lasry A, Kidder D, Hast M,; CDC Public Health Law Program; New York City Department of Health and Mental Hygiene; Louisiana Department of Health; Public Health – Seattle & King County; San Francisco COVID-19 Response Team; Alameda County Public Health Department; San Mateo County Health Department; Marin County Division of Public Health. Timing of community mitigation and changes in reported COVID-19 and community mobility—four U.S. metropolitan areas, February 26–April 1, 2020. MMWR Morb Mortal Wkly Rep 2020; 69: 451– 7. 10.15585/mmwr.mm6915e2 32298245 PMC7755061 · DOI
- [6]Rosner B, Glynn RJ, Lee M-LT. The Wilcoxon signed rank test for paired comparisons of clustered data. Biometrics 2006; 62: 185– 92. 10.1111/j.1541-0420.2005.00389.x 16542245 · DOI · Paper page
- [7]Czeisler MÉ, Tynan MA, Howard ME, Public attitudes, behaviors, and beliefs related to COVID-19, stay-at-home orders, nonessential business closures, and public health guidance—United States, New York City, and Los Angeles, May 5–12, 2020. MMWR Morb Mortal Wkly Rep 2020; 69: 751– 8. 10.15585/mmwr.mm6924e1 32555138 PMC7302477 · DOI
- [8]Nicola M, Alsafi Z, Sohrabi C, The socio-economic implications of the coronavirus pandemic (COVID-19): a review. Int J Surg 2020; 78: 185– 93. 10.1016/j.ijsu.2020.04.018 32305533 PMC7162753 · DOI · Paper page
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- Authors
- Moreland, A., Herlihy, C., Tynan, M. A., Sunshine, G., McCord, R. F., Hilton, C., Poovey, J., Werner, A. K., Jones, C. D., Fulmer, E. B., Gundlapalli, A. V., Strosnider, H., Potvien, A., García, M. C., Honeycutt, S., Baldwin, G., Program, C. P. H. L., CDC COVID-19 Response Team, M. P. A. U., Program, C. P. H. L., Clodfelter, C., Howard-Williams, M., Jeong, G., Landsman, L., Shelburne, J., CDC COVID-19 Response Team, M. P. A. U., Brown, A., Cramer, R., Gilchrist, S., Hulkower, R., Limeres, A., & Popoola, A.
- Corresponding author
- Moreland, Amanda
- ORCID
- Moreland, Amanda
- Herlihy, Christine
- Tynan, Michael A.
- Sunshine, Gregory
- McCord, Russell F.
- Hilton, Charity
- Werner, Angela K.
- Fulmer, Erika B.
- Gundlapalli, Adi V.
- García, Macarena C.
- Honeycutt, Sally
- Baldwin, Grant
- Clodfelter, Catherine
- Howard-Williams, Mara
- Jeong, Gi
- Landsman, Lisa
- Brown, Amanda
- Cramer, Ryan
- Gilchrist, Siobhan
- Hulkower, Rachel
- Limeres, Alexa
- Popoola, Adebola
- Venue
- MMWR. Morbidity and Mortality Weekly Report
- Published
- 2020-09-04
- Volume
- 69
- Issue
- 35
- Pages
- 1198-1203
- ISSN
- 0149-2195 (ISSN-L)
- 1545-861X
- PMC
- PMC7470456
- OpenAlex
- W3082599424
- Cited by
- 614
- References
- 0
- Citations by year
- 2026: 12 · 2025: 41 · 2024: 77 · 2023: 122 · 2022: 180 · 2021: 168 · 2020: 14
- FWCI
- 19.24
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- MMWR Morbidity and Mortality Weekly Report (publishedVersion)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- University of Pennsylvania
- Topics
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Social Sciences › Sociology and Political Science › COVID-19 Prevention and Impact
- Physical Sciences › Computer Science › Information Systems › COVID-19 Digital Contact Tracing
- Keywords
- COVID-19 pandemic, stay-at-home orders, human mobility, SARS-CoV-2 transmission, mobile device location data, urban-rural differences, public health policy
- MeSH terms
- COVID-19, Humans, Pneumonia, Viral, Population Dynamics, Public Health, Time Factors, United States, Coronavirus Infections, Pandemics
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