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

Prediction of Art Coverage in Sri Lanka Using Artificial Neural Networks

Abstract

In this research article, the ANN approach was applied to analyze ART coverage in Sri Lanka. 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 Sri Lanka. The results of the study indicate that ART coverage will remain below 50% over the period 2019-2023. The government is encouraged to intensify demand creation for HIV testing and ART services among key populations, strengthen TB/HIV collaboration and tracking of loss to follow up clients.

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. 91-95

doi.org/10.47001/IRJIET/2021.503017

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