Forecasting Art Coverage in Vietnam Using the Multilayer Perceptron Neural Network
Abstract
In this research article, the ANN approach was applied to analyze ART
coverage in Vietnam. 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 Vietnam. The results of
the study indicate that ART coverage will be around 68% over the period
2019-2023. We apparently encourage the government to intensify the test and
treat approach, create demand for HIV testing services and strengthen TB/HIV
collaboration.
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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