Mathematical model for prediction of Tuberculosis in Nigeria using hybrid fractional differential equations and artificial neural network methods

Mathematical model for prediction of Tuberculosis in Nigeria using hybrid fractional differential equations and artificial neural network methods

In this paper, we developed a hybrid Fractional Order Differential Equation (FODE) and Artificial Neural Network (ANN) Model to study the transmission dynamics of Tuberculosis (TB) in Nigeria. The data used for the analysis were obtained from the TB report by the World Health Organisation (WHO) TB D...

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Bibliographic Details
Main Authors: Samson Linus Manu, Shikaa Samuel, Taparki Richard, Eshi Priebe Dovi
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Franklin Open
Subjects:
Mathematical model
Tuberculosis prediction
Hybrid fractional differential equations
Artificial Neural Network Methods
Online Access:http://www.sciencedirect.com/science/article/pii/S2773186325000386
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