dc.creatorDi Muro, Matias Alberto
dc.creatorAlvarez Zuzek, Lucila Gisele
dc.creatorHavlin, S.
dc.creatorBraunstein, Lidia Adriana
dc.date.accessioned2019-11-19T16:01:47Z
dc.date.accessioned2022-10-15T01:42:34Z
dc.date.available2019-11-19T16:01:47Z
dc.date.available2022-10-15T01:42:34Z
dc.date.created2019-11-19T16:01:47Z
dc.date.issued2018-08
dc.identifierDi Muro, Matias Alberto; Alvarez Zuzek, Lucila Gisele; Havlin, S.; Braunstein, Lidia Adriana; Multiple outbreaks in epidemic spreading with local vaccination and limited vaccines; IOP Publishing; New Journal of Physics; 20; 8; 8-2018; 830251-830251
dc.identifier1367-2630
dc.identifierhttp://hdl.handle.net/11336/89195
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4331218
dc.description.abstractHow to prevent the spread of human diseases is a great challenge for the scientific community and so far there are many studies in which immunization strategies have been developed. However, these kind of strategies usually do not consider that medical institutes may have limited vaccine resources available. In this manuscript, we explore the susceptible-infected-recovered model with local dynamic vaccination, and considering limited vaccines. In this model, susceptibles in contact with an infected individual, are vaccinated-with probability ω-and then get infected-with probability β. However, when the fraction of immunized individuals reaches a threshold V L, the vaccination stops, after which only the infection is possible. In the steady state, besides the critical points β c and ω c that separate a non-epidemic from an epidemic phase, we find for a range of V L another transition points, β∗ > β c and ω∗ < ω c, which correspond to a novel discontinuous phase transition. This critical value separates a phase where the amount of vaccines is sufficient, from a phase where the disease is strong enough to exhaust all the vaccination units. For a disease with fixed β, the vaccination probability ω can be controlled in order to drastically reduce the number of infected individuals, using efficiently the available vaccines. Furthermore, the temporal evolution of the system close to β∗ or ω∗, shows that after a peak of infection the system enters into a quasi-stationary state, with only a few infected cases. But if there are no more vaccines, these few infected individuals could originate a second outbreak, represented by a second peak of infection. This state of apparent calm, could be dangerous since it may lead to misleading conclusions and to an abandon of the strategies to control the disease.
dc.languageeng
dc.publisherIOP Publishing
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://stacks.iop.org/1367-2630/20/i=8/a=083025?key=crossref.49d16e6e4e579763ea0bd78651c8d272
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1088/1367-2630/aad723
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectCOMPLEX NETWORKS
dc.subjectEPIDEMIC MODELING
dc.subjectPERCOLATION
dc.subjectSIR MODEL
dc.titleMultiple outbreaks in epidemic spreading with local vaccination and limited vaccines
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/publishedVersion


Este ítem pertenece a la siguiente institución