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

Modelling and Forecasting Covid-19 Mortalities in the United Kingdom 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: 551-557

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 05-04-2021

doi Logo doi.org/10.47001/IRJIET/2021.503093

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Abstract
In this research article, the ANN approach was applied to analyze COVID-19 deaths in the United Kingdom (UK). 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 thatCOVID-19 deaths will be generally between 200 and 1000 deaths per day in the UK over the out-of-sample period. The UK government ought to be cautious, particularly in the relaxation of any controls. This will ensure that the most vulnerable members of society are protected, especially those with chronic conditions.
Keywords

Modelling, Forecasting, Artificial Neural Networks, ANN.


Citation of this Article

Mr. Takudzwa. C. Maradze, Dr. Smartson. P. NYONI, Mr. Thabani NYONI, “Modelling and Forecasting Covid-19 Mortalities in the United Kingdom Using Artificial Neural Networks (ANN)” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 3, pp 551-557, March 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.503093

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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