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Effects of Social Mobility and Stringency Measures on the COVID-19 Outcomes: Evidence From the United States.
Sun, Jianmin; Kwek, Keh; Li, Min; Shen, Hongzhou.
  • Sun J; School of Management, Nanjing University of Posts and Telecommunications, Nanjing, China.
  • Kwek K; School of Management, Qingdao City University, Qingdao, China.
  • Li M; School of Economics, Tianjin University of Commerce, Tianjin, China.
  • Shen H; School of Management, Nanjing University of Posts and Telecommunications, Nanjing, China.
Front Public Health ; 9: 779501, 2021.
Article in English | MEDLINE | ID: covidwho-1528876
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies Limits: Humans Country/Region as subject: North America Language: English Journal: Front Public Health Year: 2021 Document Type: Article Affiliation country: Fpubh.2021.779501

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies Limits: Humans Country/Region as subject: North America Language: English Journal: Front Public Health Year: 2021 Document Type: Article Affiliation country: Fpubh.2021.779501