RT Journal Article
T1 The Effect of Setting a Warning Vaccination Level on a Stochastic SIVS Model with Imperfect Vaccine
A1 Gamboa Pérez, María
A1 López Herrero, María Jesús
AB This paper deals with a stochastic Susceptible-Infective-Vaccinated-Susceptible (SIVS) model with infection reintroduction. Health policies depend on vaccine coverage, v0, that guarantees herd immunity levels in the population. Vaccine failures occur when an organism develops a disease despite of being vaccinated against it. After vaccination, a proportion of healthy individuals unsuccessfully tries to increase antibody levels and, consequently these individuals are not immune to the vaccine preventable disease. When an infectious process is in progress, the initial vaccine coverage drops down and herd immunity will be lost. Our objective was to introduce a warning vaccination level and define random measures quantifying the time until the number of vaccinated descends to a warning vaccination level (i.e., the so-called sleeping period), and the epidemic size. A sensitivity analysis was performed to assess the influence of the model parameters on the variation and robustness of the sleeping period and the number of infections observed within it.
PB MDPI
SN 2227-7390
YR 2020
FD 2020-07-10
LK https://hdl.handle.net/20.500.14352/8373
UL https://hdl.handle.net/20.500.14352/8373
LA eng
NO Ministerio de Ciencia e Innovación (MICINN)
NO Universidad Complutense de Madrid /Banco de Santander
DS Docta Complutense
RD 14 abr 2025