Forecasting Daily Covid-19 Deaths in Spain Using Artificial Neural Networks

Dr. Smartson. P. NYONIZICHIRe Project, University of Zimbabwe, Harare, ZimbabweThabani NYONISAGIT Innovation Centre, Harare, ZimbabweTatenda. A. CHIHOHOIndependent Researcher, Harare, Zimbabwe

Vol 5 No 3 (2021): Volume 5, Issue 3, March 2021 | Pages: 287-290

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 31-03-2021

doi Logo doi.org/10.47001/IRJIET/2021.503048

Abstract
In this research paper, the ANN approach was applied to analyze daily COVID-19 deaths in Spain. The employed daily data covers the period to 1 January 2020 to 31 December 2020 and the out-of-sample period ranges over the period to 1January 2021 to 31 May 2021. The residuals and forecast evaluation criteria (Error, MSE and MAE) of the applied model indicate that the model is stable in forecasting daily COVID-19 cases in Spain. The applied ANN (12, 12, 1) model projections indicate that Spain may record no COVID-19 deaths starting from 13 January 2021 till the end of the out-of-sample period. Therefore the government is encouraged to continue applying WHO guidelines on prevention and control of COVID-19 including mass vaccination in order to achieve herd immunity.
Keywords

ANN, Forecasting, COVID-19


Citation of this Article

Dr. Smartson. P. NYONI, Thabani NYONI, Tatenda. A. CHIHOHO, “Forecasting Daily Covid-19 Deaths in Spain Using Artificial Neural Networks” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 3, pp 287-290, March 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.503048

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