About: Data-driven contact structures: From homogeneous mixing to multilayer 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	Data-driven contact structures: From homogeneous mixing to multilayer networks
Creator	Aletaid, Alberto Ferraz De Arrudaid, Guilherme Morenoid, Yamir
Source	Medline; PMC
abstract	The modeling of the spreading of communicable diseases has experienced significant advances in the last two decades or so. This has been possible due to the proliferation of data and the development of new methods to gather, mine and analyze it. A key role has also been played by the latest advances in new disciplines like network science. Nonetheless, current models still lack a faithful representation of all possible heterogeneities and features that can be extracted from data. Here, we bridge a current gap in the mathematical modeling of infectious diseases and develop a framework that allows to account simultaneously for both the connectivity of individuals and the age-structure of the population. We compare different scenarios, namely, i) the homogeneous mixing setting, ii) one in which only the social mixing is taken into account, iii) a setting that considers the connectivity of individuals alone, and finally, iv) a multilayer representation in which both the social mixing and the number of contacts are included in the model. We analytically show that the thresholds obtained for these four scenarios are different. In addition, we conduct extensive numerical simulations and conclude that heterogeneities in the contact network are important for a proper determination of the epidemic threshold, whereas the age-structure plays a bigger role beyond the onset of the outbreak. Altogether, when it comes to evaluate interventions such as vaccination, both sources of individual heterogeneity are important and should be concurrently considered. Our results also provide an indication of the errors incurred in situations in which one cannot access all needed information in terms of connectivity and age of the population.
has issue date	2020-07-16(xsd:dateTime)
bibo:doi	10.1371/journal.pcbi.1008035
bibo:pmid	32673307
has license	cc-by
sha1sum (hex)	e708e0dd459c69349a01b5f95d2162236c4d3c6f
schema:url	https://doi.org/10.1371/journal.pcbi.1008035
resource representing a document's title	Data-driven contact structures: From homogeneous mixing to multilayer networks
has PubMed Central identifier	PMC7386617
has PubMed identifier	32673307
schema:publication	PLoS Comput Biol
resource representing a document's body	covid:e708e0dd459c69349a01b5f95d2162236c4d3c6f#body_text
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