In this study, the ANN approach was applied to
analyze COVID-19 new cases in Burma. The employed data covers the period 1
January 2020 – 25 March 2021 and the out-of-sample period ranges over the
period 26 March – 31 July 2021. The residuals and forecast evaluation criteria
(Error, MSE and MAE) of the applied model indicate that the model is quite
stable. The results of the study indicate that daily COVID-19 cases in Burma are
likely to hover around an equilibrium case volume of 50 cases per day over the
out-of-sample period. Amongst other suggested policy directions, there is need
for the government of Burma to ensure adherence to safety guidelines while
continuing to create awareness about the COVID-19 pandemic.
Country : Zimbabwe
1 Dr. Smartson. P. NYONI2 Mr. Thabani NYONI3 Mr. Tatenda. A. CHIHOHO
ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
Fong, S. J., et al. (2020).
Finding an Accurate Early Forecasting Model From a Small Dataset: A Case of
2019-nCoV Novel Coronavirus Outbreak, medRxiv,
pp: 1 – 16.
Hazarika, B. B., & Gupta, D. (2020). Modeling and Forecasting of
COVID-19 Spread Using Wavelet-Coupled Random Vector Functional Link Networks, Infectious Diseases, 96: 1 – 17.
Hui, D., et al. (2020). The
Continuing 2019-nCoV Epidemic Threat of Novel Coronavirus to Global Health –
The Latest 2019 Novel Coronavirus Outbreak in Wuhan, China, International Journal of Infectious Diseases,
91: 264 – 266.
Katris, C. (2020). A Time Series-based Statistical Approach for
Outbreak Spread Forecasting: Application of COVID-19 in Greece, Expert Systems With Applications, 166
(2021): 1 – 9.
Rizk-Allah, B., & Hassanien, A. E. (2020). COVID-19 Forecasting
Based on an Improved Interior Search Algorithm and Multi-layer Feed Forward
Neural Network, medRxiv, pp: 1 – 24.
WHO (2020). COVID-19
Situation Report No. 35, WHO, Geneva.