Forecasting Art Coverage in Burundi Using the Artificial Neural Network Approach
Abstract
In this research paper, the ANN approach was
applied to analyze annual ART coverages in Burundi. 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 Burundi. The results of the study indicate that the ART coverage is
likely to remain constant at around 83% over the period 2019-2023. Therefore
the government is encouraged to increase HIV testing capacity and improve
access to ART services for key populations in the country.
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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