Forecasting Covid-19 New Cases in South Korea

Dr. Smartson. P. NYONIZICHIRe Project, University of Zimbabwe, Harare, ZimbabweMr. Thabani NYONISAGIT Innovation Center, Harare, ZimbabweMr. Tatenda. A. CHIHOHOIndependent Health Economist, Harare, Zimbabwe

Vol 5 No 6 (2021): Volume 5, Issue 6, June 2021 | Pages: 572-577

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 09-07-2021

doi Logo doi.org/10.47001/IRJIET/2021.506100

Abstract
In this research article, the ANN approach was applied to forecast the future trend of COVID case volumes in South Korea. This study is based on daily new cases of COVID-19 in South Korea for the period 1 January 2020 – 25 March 2021. The out-of-sample forecast covers the period 26 March 2021 – 31 July 2021. The residuals and forecast evaluation criteria (Error, MSE and MAE) of the applied model indicate that the model is very stable and quite acceptable in forecasting COVID-19 infections in South Korea. The study suggests that the number of daily new COVID-19 cases is likely to follow a downwards trend over the out-of sample period. The South Korean government is encouraged to continue enforcing WHO guidelines on the prevention and control of the pandemic, including vaccinations and also people in the country are advised to continue behaving in a responsible manner with regards to face-mask wearing and following all sanitary rules put forward by WHO.
Keywords

ANN, COVID-19, Forecasting, Zimbabwe, corona, pandemic


Citation of this Article

Dr. Smartson. P. NYONI, Mr. Thabani NYONI, Mr. Tatenda. A. CHIHOHO, “Forecasting Covid-19 New Cases in South Korea” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 6, pp 572-577, June 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.506100

References
  1. BioGaia (2020). COVI-19 Outbreak and Probiotics, BioGaia.
  2. Fong, S. J., et al. (2020). Finding an Accurate Early Forecasting Model From a Small Dataset: A Case of 2019-nCoV Novel Coronavirus Outbreak, International Journal of Medicine and Artificial Intelligence, 6 (1): 132 – 137.
  3. Paules, C. I., et al. (2020). Coronavirus Infections-more Than Just The Common Cold, JAMA, 323 (8): 707 – 708.
  4. WHO (2020). Coronavirus, WHO, Geneva.