96154 20210902121853.0 doi 10.1103/PhysRevE.102.022312 sideral 120640 ART-2020-120640 eng Velásquez-Rojas, Fátima Disease and information spreading at different speeds in multiplex networks 2020 Access copy available to the general public Unrestricted Nowadays, 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. info:eu-repo/grantAgreement/ES/DGA/E36-20R info:eu-repo/grantAgreement/ES/MINECO-FEDER/FIS2017-87519-P info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 2.529 2020 PHYSICS, MATHEMATICAL 8 / 55 = 0.145 2020 Q1 T1 PHYSICS, FLUIDS & PLASMAS 12 / 34 = 0.353 2020 Q2 T2 0.896 2020 Condensed Matter Physics 2020 Q1 Statistics and Probability 2020 Q1 Statistical and Nonlinear Physics 2020 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Ventura, Paulo C. Connaughton, Colm Moreno, Yamir Universidad de Zaragoza (orcid)0000-0002-0895-1893 Rodrigues, Francisco A. Vazquez, Federico 2004 405 Universidad de Zaragoza Dpto. Física Teórica Área Física Teórica 102, 2 (2020), 022312 [10 pp.] Phys. rev., E Physical Review E 2470-0045 933189 http://zaguan.unizar.es/record/96154/files/texto_completo.pdf Versión publicada 17824 http://zaguan.unizar.es/record/96154/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:96154 articulos driver 2021-09-02-10:31:00 ARTICLE