Zobrazeno 1 - 10
of 123
pro vyhledávání: '"Saldaña, Joan"'
The Markovian approach, which assumes exponentially distributed interinfection times, is dominant in epidemic modeling. However, this assumption is unrealistic as an individual's infectiousness depends on its viral load and varies over time. In this
Externí odkaz:
http://arxiv.org/abs/2303.15326
In this paper we study the appearance of bifurcations of limit cycles in an epidemic model with two types of aware individuals. All the transition rates are constant except for the alerting decay rate of the most aware individuals and the rate of cre
Externí odkaz:
http://arxiv.org/abs/2210.01649
Publikováno v:
Phys. Rev. E 102, 052301 (2020)
This paper is concerned with the robustness of the sustained oscillations predicted by an epidemic ODE model defined on contact networks. The model incorporates the spread of awareness among individuals and, moreover, a small inflow of imported cases
Externí odkaz:
http://arxiv.org/abs/2007.15938
Publikováno v:
In Physica D: Nonlinear Phenomena June 2023 448
To improve the accuracy of network-based SIS models we introduce and study a multilayer representation of a time-dependent network. In particular, we assume that individuals have their long-term (permanent) contacts that are always present, identifyi
Externí odkaz:
http://arxiv.org/abs/1812.05073
Autor:
Bosch, Lluís M., Pueyo-Ros, Josep, Comas-Cufí, Marc, Saldaña, Joan, Ripoll, Jordi, Calle, Eusebi, i Casas, Pau Fonseca, i Subirana, Joan Garcia, Borrego, Carles M., Corominas, Lluís
Publikováno v:
Journal of Water & Health; Jul2024, Vol. 22 Issue 7, p1209-1221, 13p
We study ODE models of epidemic spreading with a preventive behavioral response that is triggered by awareness of the infection. Previous studies of such models have mostly focused on the impact of the response on the initial growth of an outbreak an
Externí odkaz:
http://arxiv.org/abs/1606.08788
Publikováno v:
Bulletin of Mathematical Biology, 78(12), 2427-2454, 2016
This paper is concerned with stochastic SIR and SEIR epidemic models on random networks in which individuals may rewire away from infected neighbors at some rate $\omega$ (and reconnect to non-infectious individuals with probability $\alpha$ or else
Externí odkaz:
http://arxiv.org/abs/1512.00344
Publikováno v:
Phys. Rev. E 92, 022809 (2015)
We investigate the role of migration patterns on the spread of epidemics in complex networks. We enhance the SIS-diffusion model on metapopulations to a nonlinear diffusion. Specifically, individuals move randomly over the network but at a rate depen
Externí odkaz:
http://arxiv.org/abs/1504.05884
Autor:
Juher, David, Saldaña, Joan
Publikováno v:
Phys. Rev. E 97, 032303 (2018)
We study the properties of the potential overlap between two networks $A,B$ sharing the same set of $N$ nodes (a two-layer network) whose respective degree distributions $p_A(k), p_B(k)$ are given. Defining the overlap coefficient $\alpha$ as the Jac
Externí odkaz:
http://arxiv.org/abs/1504.02031