Stability analysis and optimal control of avian influenza model on
complex networks
Abstract
In this paper, an avian influenza model with saturation and
psychological effect on heterogeneous complex networks is proposed.
Firstly, the basic reproduction number
$\mathscr{R}_{0}$ is given through mathematical
analysis, which is a threshold to determine whether or not the disease
spreads. Secondly, the locally and globally asymptotical stability of
the disease-free equilibrium point and the endemic equilibrium point are
investigated by using Lyapunov functions and Kirchhoff’s matrix tree
theorem. If $\mathscr{R}_{0}<1$, the
disease-free equilibrium is globally asymptotically stable and the
disease will die out. If
$\mathscr{R}_{0}>1$, the endemic
equilibrium is globally asymptotically stable. Thirdly, an optimal
control problem is established by taking slaughter rate and cure rate as
control variables. Finally, numerical simulations are given to
demonstrate the main results.