Literature DB >> 33671746

Statistical Estimation of Effects of Implemented Government Policies on COVID-19 Situation in South Korea.

Gyujin Heo1, Catherine Apio1, Kyulhee Han1, Taewan Goo1, Hye Won Chung2, Taehyun Kim3, Hakyong Kim4, Yeonghyeon Ko3,5, Doeun Lee1, Jisun Lim6, Taesung Park1,3.   

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.

Entities:  

Keywords:  COVID-19; SARS-COV-2; indices; lagging; pandemic; policies; segmented Poisson model; stringency index

Year:  2021        PMID: 33671746     DOI: 10.3390/ijerph18042144

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  3 in total

1.  Forecasting of the COVID-19 pandemic situation of Korea.

Authors:  Taewan Goo; Catherine Apio; Gyujin Heo; Doeun Lee; Jong Hyeok Lee; Jisun Lim; Kyulhee Han; Taesung Park
Journal:  Genomics Inform       Date:  2021-03-25

2.  Predicting COVID-19 Cases in South Korea Using Stringency and Niño Sea Surface Temperature Indices.

Authors:  Imee V Necesito; John Mark S Velasco; Jaewon Jung; Young Hye Bae; Younghoon Yoo; Soojun Kim; Hung Soo Kim
Journal:  Front Public Health       Date:  2022-06-03

3.  All-People-Test-Based Methods for COVID-19 Infectious Disease Dynamics Simulation Model: Towards Citywide COVID Testing.

Authors:  Xian-Xian Liu; Jie Yang; Simon Fong; Nilanjan Dey; Richard C Millham; Jinan Fiaidhi
Journal:  Int J Environ Res Public Health       Date:  2022-09-02       Impact factor: 4.614

  3 in total

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