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DOI Prefix: 10.47001/IRJIET

Forecasting Art Coverage in the Philippines 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: 140-144

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/2021.503024

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Abstract

In this research article, the ANN approach was applied to analyze ART coverage in the Philippines. 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 the Philippines. The results of the study indicate that ART coverage will remain very low over the period 2019-2023. Therefore the government is strongly advised to intensify demand creation for HIV testing and ART services and improve access to antiretroviral therapy for the key populations amongst other measures.

Keywords

ANN, ART coverage, Forecasting


Citation of this Article

Dr. Smartson. P. NYONI, Thabani NYONI, “Forecasting Art Coverage in the Philippines Using Artificial Neural Networks” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 3, pp 140-144, March 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.503024

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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