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.
Country : Zimbabwe
1 Dr. Smartson. P. NYONI2 Mr. Thabani NYONI3 Mr. Tatenda. A. CHIHOHO
ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
BioGaia (2020). COVI-19 Outbreak and Probiotics, BioGaia.
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.
Paules, C. I., et al.
(2020). Coronavirus Infections-more Than Just The Common Cold, JAMA, 323 (8): 707 – 708.
