COVID-19 continues to significantly threaten
human lives and economies around the globe. In this study, the ANN approach was
applied to analyze COVID-19 cases in Uzbekistan. This study is based on monthly
new cases of COVID-19 in Uzbekistan 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 reveal that the
model is stable in forecasting COVID-19 cases in Uzbekistan. It is projected
that daily COVID-19 cases in Uzbekistan are likely to decline significantly
over the out-of-sample period. The government should ensure the continued
compliance to control and preventive COVID-19 measures such as social
distancing, quarantine, isolation, face-mask wearing and so on, as well as
vaccinations, in consistency with WHO guidelines on COVID-19 mitigation
strategies.
Country : Zimbabwe
1 Dr. Smartson. P. NYONI2 Mr. Thabani NYONI3 Mr. Tatenda. A. CHIHOHO
ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
Guan,
W. J., et al. (2020). Clinical
Characteristics of Coronavirus Diseases 2019 in China, New England Journal of Medicine, 382 (18): 1708 – 1720.
Hu,
Z., et al. (2020). Artificial
Intelligence Forecasting of COVID-19 in China, medRxiv, pp: 1 – 16.
Rothan,
H. A., & Byrareddy, S. N. (2020). The Epidemiology and Pathogenesis of
Coronavirus Disease (COVID-19) Outbreak, medRxiv,
pp: 1 – 21.
Tao,
Z., et al. (2020). A New Coronavirus
Associated With Human Respiratory Disease in China, medRxiv, pp: 1 – 14.
Wang,
Y., et al. (2020). Abnormal
Respiratory Patterns Classifier May Contribute to Large-scale Screening of
People Infected With COVID-19 in an Accurate and Unobtrusive Manner, medRxiv, pp: 1 – 15.
Yang,
Y., et al. (2020). The Deadly
Coronavirus, Journal of Autoimmun,
pp: 1 – 12.