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Statistical Estimation of Effects of Implemented Government Policies on COVID-19 Situation in South Korea.
Heo, Gyujin; Apio, Catherine; Han, Kyulhee; Goo, Taewan; Chung, Hye Won; Kim, Taehyun; Kim, Hakyong; Ko, Yeonghyeon; Lee, Doeun; Lim, Jisun; Park, Taesung.
  • Heo G; Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul 08826, Korea.
  • Apio C; Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul 08826, Korea.
  • Han K; Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul 08826, Korea.
  • Goo T; Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul 08826, Korea.
  • Chung HW; Department of Chemistry, Seoul National University, Seoul 08826, Korea.
  • Kim T; Department of Statistics, Seoul National University, Seoul 08826, Korea.
  • Kim H; Department of Industrial Engineering, Seoul National University, Seoul 08826, Korea.
  • Ko Y; Department of Statistics, Seoul National University, Seoul 08826, Korea.
  • Lee D; Department of Archeology and Art History, Seoul National University, Seoul 08826, Korea.
  • Lim J; Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul 08826, Korea.
  • Park T; The Research Institute of Basic Sciences, Seoul National University, Seoul 08826, Korea.
Int J Environ Res Public Health ; 18(4)2021 02 22.
Article in English | MEDLINE | ID: covidwho-1100111
ABSTRACT
Since the outbreak of novel SARS-COV-2, each country has implemented diverse policies to mitigate and suppress the spread of the virus. However, no systematic evaluation of these policies in their alleviation of the pandemic has been done. We investigate the impact of five indices derived from 12 policies in the Oxford COVID-19 Government Response Tracker dataset and the Korean government's index, which is the social distancing level implemented by the Korean government in response to the changing pandemic situation. We employed segmented Poisson model for this analysis. In conclusion, health and the Korean government indices are most consistently effective (with negative coefficients), while the restriction and stringency indexes are mainly effective with lagging (1~10 days), as intuitively daily confirmed cases of a given day is affected by the policies implemented days before, which shows that a period of time is required before the impact of some policies can be observed. The health index demonstrates the importance of public information campaign, testing policy and contact tracing, while the government index shows the importance of social distancing guidelines in mitigating the spread of the virus. These results imply the important roles of these polices in mitigation of the spread of COVID-19 disease.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Government / Health Policy Type of study: Experimental Studies / Observational study / Systematic review/Meta Analysis Limits: Humans Country/Region as subject: Asia Language: English Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Government / Health Policy Type of study: Experimental Studies / Observational study / Systematic review/Meta Analysis Limits: Humans Country/Region as subject: Asia Language: English Year: 2021 Document Type: Article