Forecasting Art Coverage in South Africa Using the Multilayer Perceptron Neural Network
Abstract
In this research
article, the ANN approach was applied to analyze ART coverage in South Africa.
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 South Africa. The results of the study
indicate that the country is likely to record an ART coverage of around 65%
over the period 2019-2023.Therefore the government is encouraged to intensify
demand creation for HIV testing and ART services and improve ART access for
both documented and undocumented migrant workers, and strengthen the system of
tracking loss to follow up ART clients.
Country : Zimbabwe
1 Dr. Smartson. P. NYONI2 Thabani NYONI
ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
Department of Economics, University of Zimbabwe, Harare, Zimbabwe
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