In this study, the ANN approach was applied to
analyze COVID-19 new cases in Finland. 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 COVID-19 cases are likely to surge
over the out-of-sample period. Amongst other suggested policy directions, there
is need for the government of Finland 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
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cases in Ghana using artificial neural networks. IJARIIE Vol-6 Issue-6 2395-4396
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cases in Ethiopia using artificial neural networks, IJARIIE, 6, 6, 2395-4396
Smartson.
P. Nyoni., Thabani Nyoni., Tatenda. A. Chihoho (2020). Prediction of daily new
Covid-19 cases in Egypt using artificial neural networks. IJARIIE- Vol-6 Issue-6 2395-4396
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