STABILITY ANALYSIS OF A SEIQRS EPIDEMIC MODEL ON THE FINITE SCALE-FREE NETWORK
Abstract
Taking into account the quarantine for an infectious disease, a susceptible-exposed-infected-quarantined-recovery-susceptible (SEIQRS) epidemic model with time delay on the finite scale-free network is given. The basic reproduction number , which is dependent not only on all kinds of transfer rates, but also on the topology of the network, is derived. By constructing the Lyapunov function, it is asserted that the disease-free equilibrium of system is locally asymptotically stable if , moreover, disease-free equilibrium of system is globally asymptotically stable when . In addition, the influence of network nodes on the spread of diseases is discussed. Finally, the theoretical results are verified by corresponding numerical simulation.