Microscopic Numerical Simulations of Epidemic Models on Networks
Yutaka Okabe, Akira Shudo
Abstract
Mathematical models of the spread of epidemic diseases are studied, paying special attention to networks. We treat the Susceptible-Infected-Recovered (SIR) model and the Susceptible-Exposed-Infectious-Recovered (SEIR) model described by differential equations. We perform microscopic numerical simulations for corresponding epidemic models on networks. Comparing a random network and a scale-free network for the spread of the infection, we emphasize the role of hubs in a scale-free network. We also present a simple derivation of the exact solution of the SIR model.
Topics & Concepts
Epidemic modelScale-free networkScale (ratio)Network modelComputer scienceSimple (philosophy)Statistical physicsComplex networkApplied mathematicsMathematicsPhysicsArtificial intelligencePopulationMedicineEnvironmental healthWorld Wide WebEpistemologyPhilosophyQuantum mechanicsComplex Network Analysis TechniquesOpinion Dynamics and Social InfluenceCOVID-19 epidemiological studies