A fractional-order model with time delay for tuberculosis with endogenous reactivation and exogenous reinfections
Rajivganthi Chinnathambi
Department of Mathematical Sciences, College of Science, UAE University, Al-Ain, UAE
Search for more papers by this authorCorresponding Author
Fathalla A. Rihan
Department of Mathematical Sciences, College of Science, UAE University, Al-Ain, UAE
Correspondence
Fathalla A. Rihan, Department of Mathematical Sciences, College of Science, UAE University, Al-Ain 15551, UAE.
Email: [email protected]
Communicated by: D. Zeidan
Search for more papers by this authorHebatallah J. Alsakaji
Department of Mathematical Sciences, College of Science, UAE University, Al-Ain, UAE
Search for more papers by this authorRajivganthi Chinnathambi
Department of Mathematical Sciences, College of Science, UAE University, Al-Ain, UAE
Search for more papers by this authorCorresponding Author
Fathalla A. Rihan
Department of Mathematical Sciences, College of Science, UAE University, Al-Ain, UAE
Correspondence
Fathalla A. Rihan, Department of Mathematical Sciences, College of Science, UAE University, Al-Ain 15551, UAE.
Email: [email protected]
Communicated by: D. Zeidan
Search for more papers by this authorHebatallah J. Alsakaji
Department of Mathematical Sciences, College of Science, UAE University, Al-Ain, UAE
Search for more papers by this authorAbstract
In this paper, we propose a fractional-order delay differential model for tuberculosis (TB) transmission with the effects of endogenous reactivation and exogenous reinfections. We investigate the qualitative behaviors of the model throughout the local stability of the steady states and bifurcation analysis. A discrete time delay is introduced in the model to justify the time taken for diagnosis of the disease. Existence and positivity of the solutions are investigated. Some interesting sufficient conditions that ensure the local asymptotic stability of infection-free and endemic steady states are studied. The fractional-order TB model undergoes Hopf bifurcation with respect to time delay and disease transmission rate. The presence of fractional order and time delay in the model improves the model behaviors and develops the stability results. A numerical example is provided to support our theoretical results.
CONFLICT OF INTEREST
There are no conflict of interests to this work.
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