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DOI Prefix: 10.47001/IRJIET

Modeling and Forecasting TB Incidence in Bolivia Using the Multilayer Perceptron 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: 301-305

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/2021.503051

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Abstract
In this paper, the ANN approach was applied to analyze TB incidence in Bolivia. 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 Bolivia. The results of the study indicate that TB incidence in the country will continue on a downward trend although it will remain high around 106 cases/100 000/year over the period 2019-2023. The government is encouraged to intensify TB surveillance and control programs amongst other measures.
Keywords

ANN, Forecasting, TB incidence.


Citation of this Article

Dr. Smartson. P. NYONI, Thabani NYONI, “Modeling and Forecasting TB Incidence in Bolivia Using the Multilayer Perceptron Neural Network” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 3, pp 301-305, March 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.503051

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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