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DOI Prefix: 10.47001/IRJIET

Modeling and Forecasting Annual TB Incidence in Mauritania Using Artificial Neural Networks

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: 407-411

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/2021.503070

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Abstract
In this piece of work the ANN approach was applied to analyze TB incidence in Mauritania. 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 Mauritania. The results of the study indicate that TB incidence will continue on a downward trajectory over the period 2019-2023. The government is encouraged to intensify TB surveillance and control programs in order to significantly reduce the incidence of TB.
Keywords

ANN, Forecasting, TB incidence.


Citation of this Article

Dr. Smartson. P. NYONI, Thabani NYONI, “Modeling and Forecasting Annual TB Incidence in Mauritania Using Artificial Neural Networks” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 3, pp 407-411, March 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.503070

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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