In this study, the ANN approach was applied to
analyze COVID-19 new cases in Haiti. 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 Haiti
are likely to increase significantly over the out-of-sample period. Amongst
other suggested policy directions, there is need for the government of Haiti 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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USING ARTIFICIAL NEURAL NETWORKS IJARIIE Vol-6 Issue-6, 2395-4396
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