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 Zambia Using Artificial Neural Networks

Abstract

In this research article, the ANN approach was applied to analyze ART coverage in Zambia. 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 Zambia. The results of the study indicate that ART coverage will be high around 80% over the out of sample period. We encourage the government to intensify test and treat approach, strengthen TB/HIV collaboration and create more demand for ART services through mass media communication.

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. 166-171

doi.org/10.47001/IRJIET/2021.503029

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