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dc.contributor.authorFarrahi, Katayoun
dc.contributor.authorEmonet, Remi
dc.contributor.authorCebrian, Manuel
dc.date.accessioned2014-06-23T15:50:37Z
dc.date.available2014-06-23T15:50:37Z
dc.date.issued2014-05
dc.date.submitted2013-07
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/1721.1/88061
dc.description.abstractTraditional contact tracing relies on knowledge of the interpersonal network of physical interactions, where contagious outbreaks propagate. However, due to privacy constraints and noisy data assimilation, this network is generally difficult to reconstruct accurately. Communication traces obtained by mobile phones are known to be good proxies for the physical interaction network, and they may provide a valuable tool for contact tracing. Motivated by this assumption, we propose a model for contact tracing, where an infection is spreading in the physical interpersonal network, which can never be fully recovered; and contact tracing is occurring in a communication network which acts as a proxy for the first. We apply this dual model to a dataset covering 72 students over a 9 month period, for which both the physical interactions as well as the mobile communication traces are known. Our results suggest that a wide range of contact tracing strategies may significantly reduce the final size of the epidemic, by mainly affecting its peak of incidence. However, we find that for low overlap between the face-to-face and communication interaction network, contact tracing is only efficient at the beginning of the outbreak, due to rapidly increasing costs as the epidemic evolves. Overall, contact tracing via mobile phone communication traces may be a viable option to arrest contagious outbreaks.en_US
dc.description.sponsorshipAustralia. Department of Broadband, Communications and the Digital Economyen_US
dc.description.sponsorshipAustralian Research Council (ICT Centre of Excellence program)en_US
dc.language.isoen_US
dc.publisherPublic Library of Scienceen_US
dc.relation.isversionofhttp://dx.doi.org/10.1371/journal.pone.0095133en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourcePublic Library of Scienceen_US
dc.titleEpidemic Contact Tracing via Communication Tracesen_US
dc.typeArticleen_US
dc.identifier.citationFarrahi, Katayoun, Rémi Emonet, and Manuel Cebrian. “Epidemic Contact Tracing via Communication Traces.” Edited by Renaud Lambiotte. PLoS ONE 9, no. 5 (May 1, 2014): e95133.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratoryen_US
dc.contributor.mitauthorCebrian, Manuelen_US
dc.relation.journalPLoS ONEen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsFarrahi, Katayoun; Emonet, Rémi; Cebrian, Manuelen_US
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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