Prediction of TB Incidence in Benin Using the Multilayer Peceptron Neural Network
Abstract
In this paper, the ANN approach was applied to analyze TB incidence in
Benin. 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 TB incidence in Benin. The results of
the study indicate that TB incidence will continue to decline at a slower rate
over the period 2019-2023. The Benin government is encouraged to strengthen
TB/HIV collaboration and to strengthen linkages between the TB/HIV and other
healthcare programs.
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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