About: Recovery rate affects the effective epidemic threshold with synchronous updating

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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	Recovery rate affects the effective epidemic threshold with synchronous updating
Creator	Wang, Wei Tang, Ming Zhao, Pengcheng Shu, Panpan Zhang, Yi-Cheng
Source	PMC
abstract	Accurate identification of effective epidemic threshold is essential for understanding epidemic dynamics on complex networks. In this paper, we systematically study how the recovery rate affects the susceptible-infected-removed spreading dynamics on complex networks, where synchronous and asynchronous updating processes are taken into account. We derive the theoretical effective epidemic threshold and final outbreak size based on the edge-based compartmental theory. To validate the proposed theoretical predictions, extensive numerical experiments are implemented by using asynchronous and synchronous updating methods. When asynchronous updating method is used in simulations, recovery rate does not affect the final state of spreading dynamics. But with synchronous updating, we find that the effective epidemic threshold decreases with recovery rate, and final outbreak size increases with recovery rate. A good agreement between the theoretical predictions and the numerical results are observed on both synthetic and real-world networks. Our results extend the existing theoretical studies and help us to understand the phase transition with arbitrary recovery rate.
has issue date	2016-06-13(xsd:dateTime)
bibo:doi	10.1063/1.4953661
bibo:pmid	27368773
has license	cc-by
sha1sum (hex)	e39c0bded3d46b0ac0c697d49c0549c884e69179
schema:url	https://doi.org/10.1063/1.4953661
resource representing a document's title	Recovery rate affects the effective epidemic threshold with synchronous updating
has PubMed Central identifier	PMC7112458
has PubMed identifier	27368773
schema:publication	Chaos
resource representing a document's body	covid:e39c0bded3d46b0ac0c697d49c0549c884e69179#body_text
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