Fuzzy fractional-order model of the novel coronavirus
Shabir Ahmad, Aman Ullah, Kamal Shah, Soheil Salahshour, Ali Ahmadian, Tiziana Ciano
Abstract
In this paper, a novel coronavirus infection system with a fuzzy fractional differential equation defined in Caputo's sense is developed. By using the fuzzy Laplace method coupled with Adomian decomposition transform, numerical results are obtained for better understanding of the dynamical structures of the physical behavior of COVID-19. Such behavior on the general properties of RNA in COVID-19 is also investigated for the governing model. The results demonstrate the efficiency of the proposed approach to address the uncertainty condition in the pandemic situation.
Topics & Concepts
Laplace transformMathematicsFuzzy logicOrdinary differential equationApplied mathematicsPartial differential equationAdomian decomposition methodOrder (exchange)Fractional calculusCoronavirusCoronavirus disease 2019 (COVID-19)DecompositionDifferential equationMathematical analysisComputer scienceArtificial intelligencePathologyDiseaseEcologyMedicineInfectious disease (medical specialty)EconomicsFinanceBiologyFractional Differential Equations SolutionsFuzzy Systems and OptimizationAdvanced Control Systems Design