Botswana’s Art Program Success Story: Evidence from the Artificial Neural Networks
Abstract
In this research article, the ANN approach was applied to analyze ART
coverages in Botswana. 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 Botswana. The ANN (9,
12, 1) model predictions suggests that the country is likely to record an
upward trend in the annual ART coverage over the period 2019-2023, from 84% in
2019 to 86% in 2023 .The government of Botswana is strongly encouraged to
improve ART access to key populations such foreigners, commercial sex workers and
MSMs .The health authorities are also encouraged to increase demand for ART
services through mass media communication and should expand its HIV testing
capacity.
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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