The impact of Levy noise on the threshold dynamics of a stochastic susceptible-vaccinated-infected-recovered epidemic model with general incidence functions

Compartmental systems like the well-famed SIR, SEIR, SQIR, SVIR, and their variants are efficient tools for the mathematical modeling of infectious illnesses, and they permit us to get a clear picture of how they proliferate. In actuality, the aleatory fluctuations factors present in the natural environment like storm surges, weather changes, and seismic tremors make the dissemination of epidemics susceptible to some randomness. This calls for a stronger mathematical formulation that takes into consideration this stochasticity effect. From this perspective, and in order to highlight in the same time the effect of the vaccination strategy, we survey in this paper an SVIR model with general incidence rates that is disturbed by both Brownian motions and Levy jumps. Initially, we establish its well-posedness in the sense that it has a unique positive and global-in-time solution. Then, we rely on some assumptions and nonstandard analytic techniques, to derive sufficient and almost necessary conditions for extinction, persistence in the mean, and also weak persistence. More explicitly, we identify firstly under some hypotheses a threshold ? between extinction and persistence in the mean. In other phrases, if ? < 0, the infected population dies out while it persists in the mean when ? > 0. Then, and by modifying the hypothetical framework in order to cover more incidence rates, we prove that ? can act also as a threshold between extinction and weak persistence. At last, we provide some numerical simulations to corroborate our findings and cover some particular cases of response functions.