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DOI Prefix: 10.47001/IRJIET

Prediction of TB Incidence in Benin Using the Multilayer Peceptron Neural Network

Dr. Smartson. P. NYONIZICHIRe Project, University of Zimbabwe, Harare, ZimbabweThabani NYONIDepartment of Economics, University of Zimbabwe, Harare, Zimbabwe

Vol 5 No 3 (2021): Volume 5, Issue 3, March 2021 | Pages: 363-366

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 01-04-2021

doi Logo doi.org/10.47001/IRJIET/2021.503062

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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. 
Keywords

ANN, Forecasting, TB incidence.


Citation of this Article

Dr. Smartson. P. NYONI, Thabani NYONI, “Prediction of TB Incidence in Benin Using the Multilayer Peceptron Neural Network” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 3, pp 363-366, March 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.503062

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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