International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Forecasting Art Coverage in the Philippines Using Artificial Neural Networks

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.

Country : Zimbabwe

1 Dr. Smartson. P. NYONI2 Thabani NYONI

  1. ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
  2. Department of Economics, University of Zimbabwe, Harare, Zimbabwe

IRJIET, Volume 5, Issue 3, March 2021 pp. 140-144

doi.org/10.47001/IRJIET/2021.503024

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