000096154 001__ 96154
000096154 005__ 20210902121853.0
000096154 0247_ $$2doi$$a10.1103/PhysRevE.102.022312
000096154 0248_ $$2sideral$$a120640
000096154 037__ $$aART-2020-120640
000096154 041__ $$aeng
000096154 100__ $$aVelásquez-Rojas, Fátima
000096154 245__ $$aDisease and information spreading at different speeds in multiplex networks
000096154 260__ $$c2020
000096154 5060_ $$aAccess copy available to the general public$$fUnrestricted
000096154 5203_ $$aNowadays, one of the challenges we face when carrying out modeling of epidemic spreading is to develop methods to control disease transmission. In this article we study how the spreading of knowledge of a disease affects the propagation of that disease in a population of interacting individuals. For that, we analyze the interaction between two different processes on multiplex networks: The propagation of an epidemic using the susceptible-infected-susceptible dynamics and the dissemination of information about the disease- A nd its prevention methods-using the unaware-aware-unaware dynamics, so that informed individuals are less likely to be infected. Unlike previous related models where disease and information spread at the same time scale, we introduce here a parameter that controls the relative speed between the propagation of the two processes. We study the behavior of this model using a mean-field approach that gives results in good agreement with Monte Carlo simulations on homogeneous complex networks. We find that increasing the rate of information dissemination reduces the disease prevalence, as one may expect. However, increasing the speed of the information process as compared to that of the epidemic process has the counterintuitive effect of increasing the disease prevalence. This result opens an interesting discussion about the effects of information spreading on disease propagation.
000096154 536__ $$9info:eu-repo/grantAgreement/ES/DGA/E36-20R$$9info:eu-repo/grantAgreement/ES/MINECO-FEDER/FIS2017-87519-P
000096154 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000096154 590__ $$a2.529$$b2020
000096154 591__ $$aPHYSICS, MATHEMATICAL$$b8 / 55 = 0.145$$c2020$$dQ1$$eT1
000096154 591__ $$aPHYSICS, FLUIDS & PLASMAS$$b12 / 34 = 0.353$$c2020$$dQ2$$eT2
000096154 592__ $$a0.896$$b2020
000096154 593__ $$aCondensed Matter Physics$$c2020$$dQ1
000096154 593__ $$aStatistics and Probability$$c2020$$dQ1
000096154 593__ $$aStatistical and Nonlinear Physics$$c2020$$dQ1
000096154 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000096154 700__ $$aVentura, Paulo C.
000096154 700__ $$aConnaughton, Colm
000096154 700__ $$0(orcid)0000-0002-0895-1893$$aMoreno, Yamir$$uUniversidad de Zaragoza
000096154 700__ $$aRodrigues, Francisco A.
000096154 700__ $$aVazquez, Federico
000096154 7102_ $$12004$$2405$$aUniversidad de Zaragoza$$bDpto. Física Teórica$$cÁrea Física Teórica
000096154 773__ $$g102, 2 (2020), 022312 [10 pp.]$$pPhys. rev., E$$tPhysical Review E$$x2470-0045
000096154 8564_ $$s933189$$uhttps://zaguan.unizar.es/record/96154/files/texto_completo.pdf$$yVersión publicada
000096154 8564_ $$s17824$$uhttps://zaguan.unizar.es/record/96154/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000096154 909CO $$ooai:zaguan.unizar.es:96154$$particulos$$pdriver
000096154 951__ $$a2021-09-02-10:31:00
000096154 980__ $$aARTICLE