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Fuzzy Global Stability Analysis of the Dynamics of Malaria with Fuzzy Transmission and Recovery Rates

Yves Tinda Mangongo, Joseph-Désiré Kyemba Bukweli, Justin Dupar Busili Kampempe

2021American Journal of Operations Research22 citationsDOIOpen Access PDF

Abstract

In this paper, fuzzy techniques have been used to track the problem of malaria transmission dynamics. The fuzzy equilibrium of the proposed model was discussed for different amounts of parasites in the body. We proved that when the amounts of parasites are less than the minimum amounts required for disease transmission ( min ), we reach the model disease-free equilibrium. Using Choquet integral, the fuzzy basic reproduction number through the expected value of fuzzy variable was introduced for the fuzzy Susceptible, Exposed, Infected, Recovered, susceptible-Susceptible, Exposed and Infected (SEIRS-SEI) malaria model. The fuzzy global stabilities were introduced and discussed. The disease-free equilibrium 0 Y is globally asymptotically stable if min or if the basic reproduction number is less than one ( ( ) 0 1 ). When min > and ( ) 0 1 >

Topics & Concepts

Fuzzy logicBasic reproduction numberMathematicsTransmission (telecommunications)Stability (learning theory)Mathematical optimizationSet (abstract data type)Applied mathematicsControl theory (sociology)Stability theoryVariable (mathematics)Computer scienceNonlinear systemArtificial intelligenceControl (management)Mathematical analysisPhysicsPopulationMachine learningSociologyTelecommunicationsProgramming languageDemographyQuantum mechanicsMathematical and Theoretical Epidemiology and Ecology ModelsFractional Differential Equations SolutionsCOVID-19 epidemiological studies