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Lifting Statewide Mask Mandates and Covid-19 Cases

A Synthetic Control Study

Dados Bibliográficos

ID9103751
AutoresFinn Petersen (0000-0002-6301-6507, Supply Chain and Operations), Finn Bo Petersen (autor correspondente), Anna Errore (0000-0001-9982-2685, Supply Chain and Operations, autor correspondente), Pinar Karaca-Mandic (University of Minnesota), Pinar Karaca‐Mandic (0000-0002-6682-1982, University of Minnesota)
Ano2022
Volume60
Fascículo7
Páginas538-544
Data de publicação2022-07-01
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoMedical Care (JOURNAL)
Identificadores do periódicoISSN: 0025-7079 • E-ISSN: 1537-1948
EditoraOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000001725
PMID35471645
OpenAlexW4224952167
IdiomaEN
Referências citadas21

IMPORTANCE: As states reopened their economies state and local officials made decisions on policies and restrictions that had an impact on the evolution of the pandemic and the health of the citizens. Some states made the decision to lift mask mandates starting spring 2021. Data-driven methods help evaluate the appropriateness and consequences of such decisions. OBJECTIVE: To investigate the association of lifting the mask mandate with changes in the cumulative coronavirus case rate. DESIGN: Synthetic control study design on lifting mask mandate in the state of Iowa implemented on February 7, 2021. SETTING: Daily state-level data from the COVID-19 Community Profile Report published by the US Department of Health & Human Services, COVIDcast dataset of the Delphi Research Group, and Google Community Mobility Reports. EXPOSURES AND OUTCOME: Mask mandate policy lift at the state level. State-day observations of the cumulative case rate measured as the cumulative number of new cases per 100,000 people in the previous 7 days. RESULTS: The cumulative case rate in Iowa increased by 20%-30% within 3 weeks of lifting the mask mandate as compared with a synthetic control unit. This association appeared to be related to people, in fact, reducing their mask-wearing habits. CONCLUSIONS: Lifting the mask mandate in Iowa was associated with an increase in new COVID-19 cases. Caution should be applied when making this type of policy decision before having achieved a more stable control of the pandemic

Business · Control (management) · Coronavirus disease 2019 (COVID-19) · Economics · Environmental health · Infectious disease (medical specialty) · Legislation · Lift (data mining) · Management · Mandate · Pandemic · Political science · Unfunded mandate · Computer Science · COVID-19 Digital Contact Tracing · COVID-19 epidemiological studies · Infection Control and Ventilation · Law · Medicine

  • The Incubation Period of Coronavirus Disease 2019 (Covid-19) From Publicly Reported Confirmed Cases

    Stephen A Lauer, Kyra H Grantz et al.•Annals of Internal Medicine•2020

  • An evidence review of face masks against Covid-19

    Open Access•Jeremy Howard, Austin Huang et al.•Proceedings of the National…•2021

  • Causal impact of masks, policies, behavior on early covid-19 pandemic in the U.S.

    Open Access•Victor Chernozhukov, Hiroyuki Kasahara et al.•Journal of Econometrics•2021

  • Community Use Of Face Masks And Covid-19: Evidence From A Natural Experiment Of State Mandates In The US

    Wei Lyu, George L Wehby•Health Affairs•2020

  • Synthetic Control Methods for Comparative Case Studies

    Alberto Abadie, Alexis Diamond et al.•Journal of the American…•2010

  • Standard Synthetic Control Methods

    Ashok Kaul, Stefan Klößner et al.•Journal of Business and Economic…•2022

  • US Trends in Covid-19–Associated Hospitalization and Mortality Rates Before and After Reopening Economies

    Open Access•Sumedha Gupta, Archelle Georgiou et al.•JAMA Health Forum•2021

  • Comparative Politics and the Synthetic Control Method

    Open Access•Alberto Abadie, Alexis Diamond et al.•American Journal of Political…•2015

  • The Economic Costs of Conflict

    Alberto Abadie, Javier Gardeazabal•American Economic Review•2003

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