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A nonlinear epidemic model for tuberculosis with Caputo operator and fixed point theory

Kolade M. Owolabi, Edson Pindza

2022Healthcare Analytics41 citationsDOIOpen Access PDF

Abstract

Tuberculosis (TB) is one of the most dangerous infectious diseases which spreads from one person to another through the air and often attacks the lungs. A mathematical model of TB with control measures is considered in this paper. The integer order time derivative is modeled via the Caputo fractional order operator. A reliable numerical technique was applied to discretize the fractional derivative. The existence and uniqueness of solutions are examined. The effect of the control parameters was investigated through some numerical experiments. The effect of variation of the fractional-order parameters on the susceptible, early latent, infected, persistent latent, and recovered population with respect to time are given via figures and discussed. It was observed that a model with a fractional order parameter could serve as a good control measure to the spread of TB.

Topics & Concepts

UniquenessFractional calculusMathematicsOperator (biology)DiscretizationNonlinear systemApplied mathematicsPopulationEpidemic modelInteger (computer science)Fixed-point theoremDerivative (finance)Order (exchange)TuberculosisMathematical analysisComputer scienceMedicinePhysicsChemistryBiochemistryFinanceFinancial economicsPathologyProgramming languageEnvironmental healthEconomicsRepressorQuantum mechanicsGeneTranscription factorFractional Differential Equations SolutionsMathematical and Theoretical Epidemiology and Ecology ModelsAdvanced Control Systems Design
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