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Comparative Study of Government Response Measures and Epidemic Trends for COVID-19 Global Pandemic.
Wang, Chenyang; Zhang, Hui; Gao, Yang; Deng, Qing.
  • Wang C; Department of Engineering Physics, Tsinghua University, Beijing, China.
  • Zhang H; Department of Engineering Physics, Tsinghua University, Beijing, China.
  • Gao Y; Department of Engineering Physics, Tsinghua University, Beijing, China.
  • Deng Q; Department of Engineering Physics, Tsinghua University, Beijing, China.
Risk Anal ; 42(1): 40-55, 2022 01.
Article in English | MEDLINE | ID: covidwho-1961882
ABSTRACT
The ongoing novel coronavirus (COVID-19) epidemic has evolved into a full range of challenges that the world is facing. Health and economic threats caused governments to take preventive measures against the spread of the disease. This study aims to provide a correlation analysis of the response measures adopted by countries and epidemic trends since the COVID-19 outbreak. This analysis picks 13 countries for quantitative assessment. We select a trusted model to fit the epidemic trend curves in segments and catch the characteristics based on which we explore the key factors of COVID-19 spread. This review generates a score table of government response measures according to the Likert scale. We use the Delphi method to obtain expert judgments about the government response in the Likert scale. Furthermore, we find a significant negative correlation between the epidemic trend characteristics and the government response measure scores given by experts through correlation analysis. More stringent government response measures correlate with fewer infections and fewer waves in the infection curves. Stringent government response measures curb the spread of COVID-19, limit the number of total infectious cases, and reduce the time to peak of total cases. The clusters of the results categorize the countries into two specific groups. This study will improve our understanding of the prevention of COVID-19 spread and government response.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Quarantine / Pandemics / SARS-CoV-2 / COVID-19 / Government Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Country/Region as subject: Asia Language: English Journal: Risk Anal Year: 2022 Document Type: Article Affiliation country: Risa.13817

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Quarantine / Pandemics / SARS-CoV-2 / COVID-19 / Government Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Country/Region as subject: Asia Language: English Journal: Risk Anal Year: 2022 Document Type: Article Affiliation country: Risa.13817