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Effects of Social Mobility and Stringency Measures on the COVID-19 Outcomes: Evidence From the United States

Jianmin Sun, Keh Kwek, Min Li, Hongzhou Shen

2021Frontiers in Public Health21 citationsDOIOpen Access PDF

Abstract

This paper examines the effects of stringency measures (provided by the Oxford Coronavirus Government Response Tracker) and total time spent away from home (provided by the Google COVID-19 Community Mobility Reports) on the COVID-19 outcomes (measured by total COVID-19 cases and total deaths related to the COVID-19) in the United States. The paper focuses on the daily data from March 11, 2020 to August 13, 2021. The ordinary least squares and the machine learning estimators show that stringency measures are negatively related to the COVID-19 outcomes. A higher time spent away from home is positively associated with the COVID-19 outcomes. The paper also discusses the potential economic implications for the United States.

Topics & Concepts

Coronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Ordinary least squaresEstimatorGovernment (linguistics)DemographySocial distanceDemographic economicsGerontologyMedicineEconometricsStatisticsEconomicsSociologyMathematicsVirologyInfectious disease (medical specialty)DiseaseOutbreakLinguisticsPathologyPhilosophyCOVID-19 epidemiological studiesCOVID-19 Pandemic ImpactsCOVID-19 impact on air quality