Forecasting TB Incidence in Senegal Using the Multilayer Peceptron
Abstract
In this research article, the ANN approach was applied to analyze TB
incidence in Senegal. 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 Senegal. The results of
the study indicate that TB incidence is likely to remain high over the period
2019-2023. In order to contribute meaningfully to the national control strategy
of a TB-free Senegal, authorities should, among other things, intensify TB surveillance
and control 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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