000070051 001__ 70051
000070051 005__ 20200117221647.0
000070051 0247_ $$2doi$$a10.1103/PhysRevE.97.032308
000070051 0248_ $$2sideral$$a105448
000070051 037__ $$aART-2018-105448
000070051 041__ $$aeng
000070051 100__ $$aSteinegger, B.
000070051 245__ $$aInterplay between cost and benefits triggers nontrivial vaccination uptake
000070051 260__ $$c2018
000070051 5060_ $$aAccess copy available to the general public$$fUnrestricted
000070051 5203_ $$aThe containment of epidemic spreading is a major challenge in science. Vaccination, whenever available, is the best way to prevent the spreading, because it eventually immunizes individuals. However, vaccines are not perfect, and total immunization is not guaranteed. Imperfect immunization has driven the emergence of antivaccine movements that totally alter the predictions about the epidemic incidence. Here, we propose a mathematically solvable mean-field vaccination model to mimic the spontaneous adoption of vaccines against influenzalike diseases and the expected epidemic incidence. The results are in agreement with extensive Monte Carlo simulations of the epidemics and vaccination coevolutionary processes. Interestingly, the results reveal a nonmonotonic behavior on the vaccination coverage that increases with the imperfection of the vaccine and after decreases. This apparent counterintuitive behavior is analyzed and understood from stability principles of the proposed mathematical model.
000070051 536__ $$9info:eu-repo/grantAgreement/ES/DGA/E19$$9info:eu-repo/grantAgreement/ES/FIS/2015-71582-C2$$9info:eu-repo/grantAgreement/ES/MINECO/FIS2014-55867-P$$9info:eu-repo/grantAgreement/ES/MINECO/RYC-2012-01043
000070051 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000070051 590__ $$a2.353$$b2018
000070051 591__ $$aPHYSICS, MATHEMATICAL$$b7 / 55 = 0.127$$c2018$$dQ1$$eT1
000070051 591__ $$aPHYSICS, FLUIDS & PLASMAS$$b14 / 32 = 0.438$$c2018$$dQ2$$eT2
000070051 592__ $$a0.992$$b2018
000070051 593__ $$aCondensed Matter Physics$$c2018$$dQ1
000070051 593__ $$aStatistics and Probability$$c2018$$dQ1
000070051 593__ $$aStatistical and Nonlinear Physics$$c2018$$dQ1
000070051 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000070051 700__ $$0(orcid)0000-0002-9869-4041$$aCardillo, A.
000070051 700__ $$aRios, P.D.L.
000070051 700__ $$0(orcid)0000-0002-3484-6413$$aGómez-Gardeñes, J.$$uUniversidad de Zaragoza
000070051 700__ $$aArenas, A.
000070051 7102_ $$12003$$2395$$aUniversidad de Zaragoza$$bDpto. Física Materia Condensa.$$cÁrea Física Materia Condensada
000070051 773__ $$g97, 3 (2018), 032308 [6 pp]$$pPhys. rev., E$$tPhysical Review E$$x2470-0045
000070051 8564_ $$s433044$$uhttps://zaguan.unizar.es/record/70051/files/texto_completo.pdf$$yVersión publicada
000070051 8564_ $$s26920$$uhttps://zaguan.unizar.es/record/70051/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000070051 909CO $$ooai:zaguan.unizar.es:70051$$particulos$$pdriver
000070051 951__ $$a2020-01-17-22:07:20
000070051 980__ $$aARTICLE