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

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Impact of the distribution of recovery rates on disease spreading in complex networks
Creator	Moreno, Yamir Petri, Giovanni Rodrigues, Francisco Ferraz De Arruda, Guilherme
Source	PMC
abstract	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.
has issue date	2020-01-14(xsd:dateTime)
bibo:doi	10.1103/physrevresearch.2.013046
has license	cc-by
sha1sum (hex)	6cd6fe1921b7a4975cd47f8cdcf31264787eef24
schema:url	https://doi.org/10.1103/physrevresearch.2.013046
resource representing a document's title	Impact of the distribution of recovery rates on disease spreading in complex networks
has PubMed Central identifier	PMC7217552
resource representing a document's body	covid:6cd6fe1921b7a4975cd47f8cdcf31264787eef24#body_text
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