Toward epidemic thresholds on temporal networks: a review and open questions

dc.contributor.authorLeitch, Jacken
dc.contributor.authorAlexander, Kathleen A.en
dc.contributor.authorSengupta, Srijanen
dc.contributor.departmentFish and Wildlife Conservationen
dc.contributor.departmentStatisticsen
dc.date.accessioned2019-11-18T13:03:44Zen
dc.date.available2019-11-18T13:03:44Zen
dc.date.issued2019-11-14en
dc.date.updated2019-11-17T04:20:19Zen
dc.description.abstractEpidemiological contact network models have emerged as an important tool in understanding and predicting spread of infectious disease, due to their capacity to engage individual heterogeneity that may underlie essential dynamics of a particular host-pathogen system. Just as fundamental are the changes that real-world contact networks undergo over time, both independently of and in response to pathogen spreading. These dynamics play a central role in determining whether a disease will die out or become epidemic within a population, known as the epidemic threshold. In this paper, we provide an overview of methods to predict the epidemic threshold for temporal contact network models, and discuss areas that remain unexplored.en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationApplied Network Science. 2019 Nov 14;4(1):105en
dc.identifier.doihttps://doi.org/10.1007/s41109-019-0230-4en
dc.identifier.urihttp://hdl.handle.net/10919/95566en
dc.language.isoenen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.holderThe Author(s)en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.titleToward epidemic thresholds on temporal networks: a review and open questionsen
dc.title.serialApplied Network Scienceen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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