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 Tanzania Using Artificial Neural Networks

Abstract

In this paper, the ANN approach was applied to analyze ART coverage in Tanzania. 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 Tanzania. The results of the study indicate that ART coverage will be around 74 % over the period 2019-2023.Therefore the government needs to intensify the test and treat approach in their HIV program, create more demand for ART services through mass media sensitization, strengthen TB/HIV collaboration and increase pediatric ART initiations.

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. 145-149

doi.org/10.47001/IRJIET/2021.503025

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