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Li and Ma [7] discussed a SIS model with vaccination.
Zhao and Jiang [12] continue to discuss the stochastic SIS epidemic model with vaccination.
We present a stochastic regime switching SIS epidemic model with vaccination driven by a Lévy noise.
In this paper, we discuss a stochastic SIS epidemic model with vaccination.
Zhao et al. [7] discuss the dynamics of a stochastic SIS epidemic model with vaccination.
Previous works rarely discussed an epidemics model with vaccination strategies that lead to multiple equilibrium points.
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To formulate epidemic models with vaccination, we often let (S t)) to denote the number of members that are susceptible to infections at time t, (I t)) denotes the number of members that infective at time t, and (V t)) denotes the number of members that are immune to infections at time t as the result of vaccination.
In addition, the dynamical behaviors for the nonautonomous discrete SEIRS epidemic models, discrete SEIRS epidemic models with vaccination, stage-structured discrete SEIRS epidemic models, and delayed discrete SEIRS epidemic models with nonlinear incidence described by the backward difference scheme are rarely considered.
We use the output of the transmission modelling with vaccination as input for the cost-effectiveness analyses.
A simplified version of the model with pulse vaccination shows that the media can trigger a vaccinating panic if the vaccine is imperfect and simplified messages result in the vaccinated mixing with the infectives without regard to disease risk.
Jiao et al. [25] established a SIR model with pulse vaccination and proved the existence of a disease-free periodic solution, and a large pulse vaccination rate was a sufficient condition to eradicate the disease.
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