Impact of the distribution of recovery rates on disease spreading in complex networks

We study a general epidemic model with arbitrary recovery rate distributions. This simple deviation from the standard setup is sufficient to prove that heterogeneity in the dynamical parameters can be as important as the more studied structural heterogeneity. Our analytical solution is able to predi...

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Main Authors: Guilherme Ferraz de Arruda, Giovanni Petri, Francisco A. Rodrigues, Yamir Moreno
Format: Article
Language:English
Published: American Physical Society 2020-01-01
Series:Physical Review Research
Online Access:http://doi.org/10.1103/PhysRevResearch.2.013046
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author Guilherme Ferraz de Arruda
Giovanni Petri
Francisco A. Rodrigues
Yamir Moreno
author_facet Guilherme Ferraz de Arruda
Giovanni Petri
Francisco A. Rodrigues
Yamir Moreno
author_sort Guilherme Ferraz de Arruda
collection DOAJ
description We study a general epidemic model with arbitrary recovery rate distributions. This simple deviation from the standard setup is sufficient to prove that heterogeneity in the dynamical parameters can be as important as the more studied structural heterogeneity. Our analytical solution is able to predict the shift in the critical properties induced by heterogeneous recovery rates. We find that the critical value of infectivity tends to be smaller than the one predicted by quenched mean-field approaches in the homogeneous case and that it can be linked to the variance of the recovery rates. Our findings also illustrate the role of dynamical-structural correlations, where we allow a power-law network to dynamically behave as a homogeneous structure by an appropriate tuning of its recovery rates. Overall, our results demonstrate that heterogeneity in the recovery rates, eventually in all dynamical parameters, is as important as the structural heterogeneity.
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spelling doaj.art-8ce876c295154bf9bb44d3f71f8f31bb2024-04-12T16:48:42ZengAmerican Physical SocietyPhysical Review Research2643-15642020-01-012101304610.1103/PhysRevResearch.2.013046Impact of the distribution of recovery rates on disease spreading in complex networksGuilherme Ferraz de ArrudaGiovanni PetriFrancisco A. RodriguesYamir MorenoWe study a general epidemic model with arbitrary recovery rate distributions. This simple deviation from the standard setup is sufficient to prove that heterogeneity in the dynamical parameters can be as important as the more studied structural heterogeneity. Our analytical solution is able to predict the shift in the critical properties induced by heterogeneous recovery rates. We find that the critical value of infectivity tends to be smaller than the one predicted by quenched mean-field approaches in the homogeneous case and that it can be linked to the variance of the recovery rates. Our findings also illustrate the role of dynamical-structural correlations, where we allow a power-law network to dynamically behave as a homogeneous structure by an appropriate tuning of its recovery rates. Overall, our results demonstrate that heterogeneity in the recovery rates, eventually in all dynamical parameters, is as important as the structural heterogeneity.http://doi.org/10.1103/PhysRevResearch.2.013046
spellingShingle Guilherme Ferraz de Arruda
Giovanni Petri
Francisco A. Rodrigues
Yamir Moreno
Impact of the distribution of recovery rates on disease spreading in complex networks
Physical Review Research
title Impact of the distribution of recovery rates on disease spreading in complex networks
title_full Impact of the distribution of recovery rates on disease spreading in complex networks
title_fullStr Impact of the distribution of recovery rates on disease spreading in complex networks
title_full_unstemmed Impact of the distribution of recovery rates on disease spreading in complex networks
title_short Impact of the distribution of recovery rates on disease spreading in complex networks
title_sort impact of the distribution of recovery rates on disease spreading in complex networks
url http://doi.org/10.1103/PhysRevResearch.2.013046
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