Forecasting Art Coverage in Kenya Using the Multilayer Perceptron Neural Network
Abstract
In this research article, the ANN approach was
applied to analyze ART coverage in Kenya. 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
Kenya. The ANN (9,12,1) model projections suggests that the country is likely
record a decline in ART coverage over the period 2019-2023. Therefore the
government is encouraged to intensify demand creation for HIV testing and ART
services and allocate more resources to TB/HIV program collaboration amongst
other strategies.
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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