Competing spreading processes on multiplex networks: awareness and epidemics

By Clara Granell, Sergio Gómez, Alex Arenas. Physical review. E, Statistical, nonlinear, and soft matter physics, 2014

345 citations recorded by the source corpus.

Epidemiclike spreading processes on top of multilayered interconnected complex networks reveal a rich phase diagram of intertwined competition effects. A recent study by the authors [C. Granell et al., Phys. Rev. Lett. 111, 128701 (2013).] presented an analysis of the interrelation between two processes accounting for the spreading of an epidemic, and the spreading of information awareness to prevent infection, on top of multiplex networks. The results in the case in which awareness implies total immunization to the disease revealed the existence of a metacritical point at which the critical onset of the epidemics starts, depending on completion of the awareness process. Here we present a full analysis of these critical properties in the more general scenario where the awareness spreading does not imply total immunization, and where infection does not imply immediate awareness of it. We find the critical relation between the two competing processes for a wide spectrum of parameters representing the interaction between them. We also analyze the consequences of a massive broadcast of awareness (mass media) on the final outcome of the epidemic incidence. Importantly enough, the mass media make the metacritical point disappear. The results reveal that the main finding, i.e., existence of a metacritical point, is rooted in the competition principle and holds for a large set of scenarios.

Subfields: Public Health, Environmental and Occupational Health, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/fcdb4ff41b5538c198e6b3eedc45eb2d6b85d90e

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Citations in the corpus

Network science of biological systems at different scales: A review. (2017, background): “…of epidemic-like spreading processes on top of multilayered inter-connected complex networks [166] Examples include competitive spreading [167], spreading on temporal networks [168], epidemic propagation in partially overlapped multiplex networks [169], the impact of immunization…”
Coupled disease–behavior dynamics on complex networks: A review (2015, background): “To capture more realistic scenarios, the authors relaxed both assumptions and introduced mass media that disseminates information to the entire system [111].”