Novel Dynamic Structures of 2019-nCoV with Nonlocal Operator via Powerful Computational Technique
Wei Gao, P. Veeresha, D. G. Prakasha, Hacı Mehmet Başkonuş
Abstract
In this study, we investigate the infection system of the novel coronavirus (2019-nCoV) with a nonlocal operator defined in the Caputo sense. With the help of the fractional natural decomposition method (FNDM), which is based on the Adomian decomposition and natural transform methods, numerical results were obtained to better understand the dynamical structures of the physical behavior of 2019-nCoV. Such behaviors observe the general properties of the mathematical model of 2019-nCoV. This mathematical model is composed of data reported from the city of Wuhan, China.
Topics & Concepts
Operator (biology)BiologyCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakDecompositionAdomian decomposition methodApplied mathematicsStatistical physicsMathematicsVirologyMathematical analysisPhysicsPartial differential equationEcologyInfectious disease (medical specialty)DiseaseBiochemistryGeneTranscription factorRepressorMedicinePathologyOutbreakFractional Differential Equations SolutionsCOVID-19 epidemiological studiesStatistical Mechanics and Entropy