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dc.contributorVirginia Techen
dc.contributor.authorEubank, Stephenen
dc.contributor.authorBarrett, Christopher L.en
dc.contributor.authorBeckman, Richard J.en
dc.contributor.authorBisset, Keith R.en
dc.contributor.authorDurbeck, L.en
dc.contributor.authorKuhlman, Christopher J.en
dc.contributor.authorLewis, Bryan L.en
dc.contributor.authorMarathe, Achlaen
dc.contributor.authorMarathe, Madhaven
dc.contributor.authorStretz, P.en
dc.date.accessioned2017-10-27T17:45:21Zen
dc.date.available2017-10-27T17:45:21Zen
dc.date.issued2010en
dc.identifier.urihttp://hdl.handle.net/10919/79826en
dc.description.abstractNetwork models of infectious disease epidemiology can potentially provide insight into how to tailor control strategies for specific regions, but only if the network adequately reflects the structure of the region’s contact network. Typically, the network is produced by models that incorporate details about human interactions. Each detail added renders the models more complicated and more difficult to calibrate, but also more faithful to the actual contact network structure. We propose a statistical test to determine when sufficient detail has been added to the models and demonstrate its application to the models used to create a synthetic population and contact network for the USA.en
dc.description.sponsorshipThis work has been partially supported by NSF HSD Grant SES-0729441, NIH MIDAS project 2U01GM070694, DTRA R&D Grant HDTRA1-0901-0017, and DTRA CNIMS Grant HDTRA1-07-C- 0113.en
dc.language.isoen_USen
dc.publisherTaylor & Francisen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectsocial networken
dc.subjectmathematical modellingen
dc.subjectepidemiologyen
dc.subjectmathematical biologyen
dc.subjectepidemicen
dc.titleDetail in network models of epidemiology: are we there yet?en
dc.typeArticle - Refereeden
dc.title.serialJournal of Biological Dynamicsen
dc.identifier.doihttps://doi.org/10.1080/17513751003778687en
dc.identifier.volume4en
dc.identifier.issue5en


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