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DOI Prefix: 10.47001/IRJIET

Prediction of Art Coverage in Lesotho Using Artificial Neural Networks

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: 242-246

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/2021.503040

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Abstract
In this research paper, the ANN approach was applied to analyze ART coverage in Lesotho. The employed annual 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 Lesotho. The ANN (9,12,1) model predicted that the ART coverage will likely be around 63 % throughout the period 2019-2023.Therefore the government is encouraged to strengthen the system of tracking loss to follow up ART patients ,create more demand for ART services and increase HIV testing capacity at all levels of the health delivery system.
Keywords

ANN, ART coverage, Forecasting.


Citation of this Article

Dr. Smartson. P. NYONI, Thabani NYONI, “Prediction of Art Coverage in Lesotho Using Artificial Neural Networks” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 3, pp 242-246, March 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.503040  

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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