The need for forecasting the future pattern of
COVID-19 is at its highest levels now. Predicting the disease progression will
lessen the burden of health workers in terms of managing the pandemic.
Slovenia, just like any other resource-limited country, is in need of accurate
forecasts of the COVID-19 cases, in order to be “on top” of the virus. In this
research paper, the ANN approach was applied to analyze COVID-19 cases in the
country. This study is based on daily new cases of COVID-19 in Slovenia 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 our model indicate that the model is stable
and acceptable for predicting daily new COVID-19 cases in Slovenia. It is
projected the COVID-19 pandemic is likely to disappear in the country around
mid-April 2021.There is, however, the need for continued implementation of
control and prevention strategies in the country, especially the vaccinations.
The public is also urged to exercise caution all the time and strictly adhere
to sanitary rules established by WHO, in order to save lives.
Country : Zimbabwe
1 Dr. Smartson. P. NYONI2 Mr. Thabani NYONI3 Mr. Tatenda. A. CHIHOHO
ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
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(2020). A Self-Supervised Neural-Analytic Method to Predict the Evaluation of
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