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DOI Prefix: 10.47001/IRJIET

Bahrain’s TB Program Success: Message from 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: 296-300

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 31-03-2021

doi Logo doi.org/10.47001/IRJIET/2021.503050

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Abstract
The Kingdom of Bahrain’s TB program is one of the successful Health programs in the Middle East. In this research article, the ANN approach was applied to analyze TB incidence in Bahrain. 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 the Kingdom of Bahrain.  The model predictions suggest that TB incidence will remain low in the country over the period 2019-2023. The Health Authorities are encouraged to strengthen TB/HIV collaboration in order to maintain this desirable outcome.
Keywords

ANN, Forecasting, TB Incidence.


Citation of this Article

Dr. Smartson. P. NYONI, Thabani NYONI, “Botswana’s Art Program Success Story: Evidence from the Artificial Neural Networks” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 3, pp 296-300, March 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.503050

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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