Analysis and Dynamics of Tuberculosis Outbreak: A Mathematical Modelling Approach

Authors

  • Festus Abiodun Oguntolu Department of Mathematics, Federal University of Technology Minna, Minna, Nigeria
  • Olumuyiwa James Peter Department of Mathematical and Computer Sciences, University of Medical Sciences, Ondo City, Ondo State, Nigeria; Department of Epidemiology and Biostatistics, School of Public Health, University of Medical Sciences, Ondo City, Ondo State, Nigeria
  • Kayode Oshinubi AGIES Research Unit, Universite Grenoble Alpes, Alpes, France
  • Tawakalt Abosede Ayoola Department of Mathematics, Osun State University, Oshogbo, Nigeria
  • Asimiyu Olalekan Oladapo Departnemt of Mathematics, Osun State University, Oshogbo, Nigeria
  • Mayowa Michael Ojo Departnemt of Mathematical Sciences, University of South Africa, Florida, South Africa; Thermo Fisher Scientific, Microbiology Division, Lenexa, Kansas, USA

DOI:

https://doi.org/10.25728/assa.2022.22.4.1224

Abstract

Tuberculosis (TB) is an infectious disease caused by mycobacterium disease which causes major ill health in humans. Control strategies like vaccines, early detention, treatment and isolation are required to minimize or eradicate this deadly pandemic disease. This article presents a novel mathematical modelling approach to tuberculosis disease using Vaccinated-Susceptible-Latent-Mild-Chronic-Isolated-Treated model. We examined if the epidemiology model is well posed and then obtained two equilibria points (disease free and endemic equilibrium). We also showed that TB disease free equilibrium is locally and globally asymptotically stable if . We solved the model analytically using Homotopy Perturbation Method (HPM) and the graphical representations and interpretations of various effects of the model parameters in order to measure the impact for effective disease control are presented. The findings show that infected populations will be reduced when the isolation and treatment rates and their effectiveness are high.   

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Published

2022-12-30

How to Cite

Oguntolu, F. A., Peter, O. J., Oshinubi, K., Ayoola, T. A., Oladapo, A. O., & Ojo, M. M. (2022). Analysis and Dynamics of Tuberculosis Outbreak: A Mathematical Modelling Approach. Advances in Systems Science and Applications, 22(4), 144–161. https://doi.org/10.25728/assa.2022.22.4.1224

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