Forecasting Art Coverage in Malawi Using the Multilayer Perceptron Neural Network
Abstract
In this study, the ANN approach was applied to analyze ART coverage in
Malawi. 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 ANN (9,
12, 1) indicate that the model is stable in forecasting ART coverage in Malawi.
The results of the study indicate that ART coverage is likely increase slightly
over the period 2019-2023. The government is encouraged to create more demand
for ART and HIV testing services, increase HIV testing capacity and strengthen
tracking of loss to follow up ART patients 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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