期刊
APPLIED SCIENCES-BASEL
卷 10, 期 22, 页码 -出版社
MDPI
DOI: 10.3390/app10228296
关键词
SEIR epidemic model; vaccination of newborns; periodic impulsive vaccination; equilibrium points; periodic solutions; COVID-19 pandemic
类别
资金
- Spanish Institute of Health Carlos III [COV 20/01213]
- Spanish Government (MCIU/AEI/FEDER, UE) [RTI2018-094336-B-I00]
- European Commission (MCIU/AEI/FEDER, UE) [RTI2018-094336-B-I00]
This paper investigates a susceptible-exposed-infectious-recovered (SEIR) epidemic model with demography under two vaccination effort strategies. Firstly, the model is investigated under vaccination of newborns, which is fact in a direct action on the recruitment level of the model. Secondly, it is investigated under a periodic impulsive vaccination on the susceptible in the sense that the vaccination impulses are concentrated in practice in very short time intervals around a set of impulsive time instants subject to constant inter-vaccination periods. Both strategies can be adapted, if desired, to the time-varying levels of susceptible in the sense that the control efforts be increased as those susceptible levels increase. The model is discussed in terms of suitable properties like the positivity of the solutions, the existence and allocation of equilibrium points, and stability concerns related to the values of the basic reproduction number. It is proven that the basic reproduction number lies below unity, so that the disease-free equilibrium point is asymptotically stable for larger values of the disease transmission rates under vaccination controls compared to the case of absence of vaccination. It is also proven that the endemic equilibrium point is not reachable if the disease-free one is stable and that the disease-free equilibrium point is unstable if the reproduction number exceeds unity while the endemic equilibrium point is stable. Several numerical results are investigated for both vaccination rules with the option of adapting through ime the corresponding efforts to the levels of susceptibility. Such simulation examples are performed under parameterizations related to the current SARS-COVID 19 pandemic.
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