Modelling and Forecasting Covid-19 Fatalities in South Africa using Artificial Neural Networks (ANN)

Mr. Takudzwa. C. MaradzeIndependent Researcher, Harare, ZimbabweDr. Smartson. P. NYONIZICHIRe Project, University of Zimbabwe, Harare, ZimbabweMr. Thabani NYONISAGIT Innovation Center, Harare, Zimbabwe

Vol 5 No 3 (2021): Volume 5, Issue 3, March 2021 | Pages: 453-459

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 01-04-2021

doi Logo doi.org/10.47001/IRJIET/2021.503078

Abstract
In this study, the ANN approach was applied to analyze COVID-19 deaths in South Africa. The employed data covers the period January – December 2020 and the out-of-sample period ranges over the period January – May 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 that COVID-19 mortality in South Africa will basically range between 100 and 300 deaths per day over the out-of-sample period. Amongst other suggested policy directions, there is need for the government of South Africa to ensure adherence to safety guidelines while continuing to create awareness about the COVID-19 pandemic.
Keywords

Artificial Neural Networks, ANN.


Citation of this Article

Mr. Takudzwa. C. Maradze, Dr. Smartson. P. NYONI, Mr. Thabani NYONI, “Modelling and Forecasting Covid-19 Fatalities in South Africa using Artificial Neural Networks (ANN)” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 3, pp 453-459, March 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.503078

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