Spreading Dynamics of an SEIR Model with Delay on Scale-Free Networks
Huiyan Kang, Mengfeng Sun, Yajuan Yu, Xinchu Fu, Bocheng Bao
Abstract
In this paper, to be more precise in modeling the real epidemic spread, an SEIR model with delay describing the fixed latent period is studied on scale-free networks. The basic reproduction number, which serves as a critical threshold of epidemic spread, is calculated. The formula for the basic reproduction number shows that adding delay decreases the basic reproduction number. By constructing appropriate Lyapunov functions, the global stability of disease-free and endemic equilibria is investigated. Finally, numerical simulations are performed to illustrate the effect of network structures and model parameters on the basic reproduction numbers and disease spreading processes.
Topics & Concepts
Basic reproduction numberStability (learning theory)Scale-free networkEpidemic modelScale (ratio)Lyapunov functionComplex networkApplied mathematicsComputer scienceControl theory (sociology)ReproductionDynamics (music)MathematicsMathematical optimizationControl (management)Nonlinear systemBiologyPhysicsArtificial intelligencePopulationEcologyQuantum mechanicsMachine learningAcousticsSociologyDemographyWorld Wide WebComplex Network Analysis TechniquesOpinion Dynamics and Social InfluenceMathematical and Theoretical Epidemiology and Ecology Models