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DOI Prefix: 10.47001/IRJIET

Forecasting Art Coverage in Burundi Using the Artificial Neural Network Approach

Dr. Smartson. P. NYONIZICHIRe Project, University of Zimbabwe, Harare, ZimbabweThabani NYONIDepartment of Economics, University of Zimbabwe, Harare, Zimbabwe

Vol 5 No 3 (2021): Volume 5, Issue 3, March 2021 | Pages: 172-176

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/2021.503030

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Abstract
In this research paper, the ANN approach was applied to analyze annual ART coverages in Burundi. The employed data covers the period 2000-2018 and the out-of-sample period ranges over the period 2019-2023. The residuals and forecast evaluation criteria (Error, MSE and MAE) of the applied model indicate that the model is stable in forecasting ART coverage in Burundi. The results of the study indicate that the ART coverage is likely to remain constant at around 83% over the period 2019-2023. Therefore the government is encouraged to increase HIV testing capacity and improve access to ART services for key populations in the country. 
Keywords

ANN, ART coverage, Forecasting.


Citation of this Article

Dr. Smartson. P. NYONI, Thabani NYONI, “Forecasting Art Coverage in Burundi Using the Artificial Neural Network Approach” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 3, pp 172-176, March 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.503030

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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