International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

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DOI Prefix: 10.47001/IRJIET

Forecasting Confirmed Covid-19 Daily Cases in Equatorial Guinea 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: 187-196

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/2021.503032

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Abstract
In this research paper, the ANN approach was applied to analyze daily COVID-19 cases in Equatorial Guinea. The employed data covers the period 1 January 2020 to 31 December 2020 and the out-of-sample period ranges over the period 1 January 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 Equatorial Guinea. The applied ANN (12, 12, 1) predictions suggest that daily COVID-19 cases will generally be between 0-10 cases over the out of sample period. Therefore the government is encouraged to continue enforcing WHO guidelines on prevention and control of COVID-19.
Keywords

ANN, Forecasting, COVID-19.


Citation of this Article

Dr. Smartson. P. NYONI, Thabani NYONI, Tatenda. A. CHIHOHO, “Forecasting Confirmed Covid-19 Daily Cases in Equatorial Guinea Using Artificial Neural Networks” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 3, pp 187-196, March 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.503032

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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