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DOI Prefix: 10.47001/IRJIET

Forecasting Daily Covid-19 Cases in Burundi Using a Machine Learning Algorithm

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: 130-139

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/2021.503023

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Abstract
In this study, the ANN approach was applied to analyze daily new COVID-19 cases. The employed daily data covers the period 1 January 2020 to December 2020 and the out-of-sample period ranges over the period January 2021 to 31May 2021. The residuals and forecast evaluation criteria (Error, MSE and MAE) of the applied model indicate that the model is stable in forecasting daily new COVID-19 cases in Burundi. The results of the study indicate that daily COVID-19 cases are likely to be between 0-10 cases per day over the out of sample period. Therefore the government of Burundi must continue enforcing the implementation of WHO recommendations on the 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 Daily Covid-19 Cases in Burundi Using a Machine Learning Algorithm” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 3, pp 130-139, March 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.503023

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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