Forecasting Art Coverage in Thailand Using the Multilayer Perceptron Neural Network
Abstract
In this research
article, the ANN approach was applied to analyze ART coverage in Thailand. 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 Thailand. The results of the study indicate that
ART coverage is likely to decline slightly from 75% in 2019 to 69% in
2023.Therefore the government is encouraged to intensify the test and treat
approach, strengthen TB/HIV collaboration and create more demand for ART
services through mass media sensitization amongst other measures.
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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