Journal of Computational and Applied Mathematics
Impulsive state feedback control of a predator-prey model
Journal of Computational and Applied Mathematics
Impulsive vaccination of SEIR epidemic model with time delay and nonlinear incidence rate
Mathematics and Computers in Simulation
Journal of Computational and Applied Mathematics
Mathematics and Computers in Simulation
Global attractivity and permanence of a SVEIR epidemic model with pulse vaccination and time delay
Journal of Computational and Applied Mathematics
Continuous and impulsive vaccination of SEIR epidemic models with saturation incidence rates
Mathematics and Computers in Simulation
Mathematics and Computers in Simulation
EMO'11 Proceedings of the 6th international conference on Evolutionary multi-criterion optimization
Dynamics of a discretized SIR epidemic model with pulse vaccination and time delay
Journal of Computational and Applied Mathematics
Stability of periodic solutions for an SIS model with pulse vaccination
Mathematical and Computer Modelling: An International Journal
Mathematical and Computer Modelling: An International Journal
The effects of population dispersal and pulse vaccination on disease control
Mathematical and Computer Modelling: An International Journal
Asymptotic behavior of an SI epidemicmodel with pulse removal
Mathematical and Computer Modelling: An International Journal
Pulse quarantine strategy of internet worm propagation: Modeling and analysis
Computers and Electrical Engineering
Hi-index | 0.98 |
Based on a theory of population dynamics in perturbed environments, it was hypothesized that measles epidemics can be more efficiently controlled by pulse vaccination, i.e., by a vaccination effort that is pulsed over time [1]. Here, we analyze the rationale of the pulse vaccination strategy in the simple SIR epidemic model. We show that repeatedly vaccinating the susceptible population in a series of 'pulses,' it is possible to eradicate the measles infection from the entire model population. We derive the conditions for epidemic eradication under various constraints and show their dependence on the parameters of the epidemic model.