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South Korea as the Role Model for Covid-19 Policies? An Analysis of the Effect of Government Policies on Infection Chain Structures

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Economics of Grids, Clouds, Systems, and Services (GECON 2020)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 12441))

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Abstract

The fast increase of Covid-19 cases led to high attention from local and international authorities to mitigate and reduce the propagation of the disease. Concerning the risks and the negative effects inflicted by the spread of the pandemic, many countries established a series of policies reinforcing public protection from the virus. With respect to these policies, this study characterizes the infection chain structure in Korea and identifies changes in the structure over time. Furthermore, using multiple linear regressions, the impact of government policy interventions on the infection chain structure is measured. The analysis shows a high fluctuation in infection chain structures at the beginning of the pandemic, which decreases with the implemented policies. The findings serve as a foundation for policymakers to evaluate the success of policies and strategies for reducing the diffusion of Covid-19 and to make optimized resource allocation decisions.

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References

  1. Center For Strategic & International Studies: A Timeline of South Korea’s response to COVID-19. https://www.csis.org/analysis/timeline-south-koreas-response-covid-19. Accessed 5 Jun 2020

  2. Chang, S.L., et al.: Modelling transmission and control of the Covid-19 pandemic in Australia. arXiv preprint arXiv:2003.10218 (2020)

  3. Chimmula, V.K.R., Zhang, L.: Time series forecasting of Covid-19 transmission in Canada using LSTM networks. Chaos, Solitons Fractals 135, 109864 (2020)

    Article  Google Scholar 

  4. Kaggle: Data Science for Covid-19 (DS4C): DS4C Data science for COVID-19 in South Korea. https://www.kaggle.com/kimjihoo/coronavirusdataset. Accessed 5 Jun 2020

  5. Korea centers for disease control & prevention. http://www.cdc.go.kr/cdc_eng. Accessed 5 Jun 2020

  6. Perc, M., et al.: Forecasting Covid-19. Frontiers Phys. 8, 127 (2020)

    Article  Google Scholar 

  7. Sahasranaman, A., Kumar, N.: Network structure of Covid-19 spread and the Lacuna in India’s testing strategy. Available at SSRN 3558548 (2020)

    Google Scholar 

  8. Shim, E., et al.: Transmission potential and severity of Covid-19 in South Korea. Int. J. Infect. Dis. 93, 339–344 (2020)

    Article  Google Scholar 

  9. The Government of the Republic of Korea: How Korea responded to a pandemic using ICT: Flattening the curve on COVID-19. http://www.undp.org/content/seoul_policy_center/en/home/presscenter/articles/2019/flattening-the-curve-on-covid-19.html. Accessed 7 Jun 2020

  10. Walker, P., et al.: Report 12: the global impact of Covid-19 and strategies for mitigation and suppression. Imperial College London (2020)

    Google Scholar 

  11. Wang, P., et al.: Statistical and network analysis of 1212 Covid-19 patients in Henan, China. Int. J. Infect. Dis. 95, 391–398 (2020)

    Article  Google Scholar 

  12. World Health Organization: Coronavirus disease 2019 (Covid-19) situation report - 73. https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200402-sitrep-73-Covid-19.pdf. Accessed 6 Jun 2020

  13. World Health Organization: Rolling updates on coronavirus disease (COVID-19). https://www.who.int/emergencies/diseases/novel-coronavirus-2019/events-as-they-happen. Accessed 6 Jun 2020

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Acknowledgements

We would also like to thank the reviewers of this article, who gave highly valuable feedback for improving our research. Furthermore, we are grateful for the initial discussions and contributions of Antoine Marie Zacharie Kundimana. This research has partly been supported by the Institute of Engineering Research at Seoul National University, which provided research facilities.

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Correspondence to Alexander Haberling , Jakob Laurisch or Jörn Altmann .

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Haberling, A., Laurisch, J., Altmann, J. (2020). South Korea as the Role Model for Covid-19 Policies? An Analysis of the Effect of Government Policies on Infection Chain Structures. In: Djemame, K., Altmann, J., Bañares, J.Á., Agmon Ben-Yehuda, O., Stankovski, V., Tuffin, B. (eds) Economics of Grids, Clouds, Systems, and Services. GECON 2020. Lecture Notes in Computer Science(), vol 12441. Springer, Cham. https://doi.org/10.1007/978-3-030-63058-4_10

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  • DOI: https://doi.org/10.1007/978-3-030-63058-4_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-63057-7

  • Online ISBN: 978-3-030-63058-4

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