Forecasting Art Coverage in Malaysia Using the Multilayer Perceptron Neural Network
Abstract
In this research article, the ANN approach was applied to analyze ART
coverage in Malaysia. 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 ANN (9, 12, 1)
model indicate that the model is stable in forecasting ART coverage in
Malaysia. The results of the study indicate that ART coverage is likely to drop
drastically over the period 2019-2023. The government is encouraged to
intensify demand creation for HIV testing and ART services, allocate financial
resources for TB/HIV program collaboration 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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