Extracting Data from Disparate Sources for Agent-Based Disease Spread Models

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dc.contributor.authorLaskowski, M.
dc.contributor.authorDemianyk, B. C. P.
dc.contributor.authorBenavides, J.
dc.contributor.authorFriesen, M. R.
dc.contributor.authorMcLeod, R. D.
dc.contributor.authorMukhi, S. N.
dc.contributor.authorCrowley, M.
dc.date.accessioned2015-05-14T16:40:16Z
dc.date.available2015-05-14T16:40:16Z
dc.date.issued2012-6-21
dc.date.updated2015-03-29T13:35:09Z
dc.description.abstractThis paper presents a review and evaluation of real data sources relative to their role and applicability in an agent-based model (ABM) simulating respiratory infection spread a large geographic area. The ABM is a spatial-temporal model inclusive of behavior and interaction patterns between individual agents. The agent behaviours in the model (movements and interactions) are fed by census/demographic data, integrated with real data from a telecommunication service provider (cellular records), traffic survey data, as well as person-person contact data obtained via a custom 3G smartphone application that logs Bluetooth connectivity between devices. Each source provides data of varying type and granularity, thereby enhancing the robustness of the model. The work demonstrates opportunities in data mining and fusion and the role of data in calibrating and validating ABMs. The data become real-world inputs into susceptible-exposed-infected-recovered (SEIR) disease spread models and their variants, thereby building credible and nonintrusive models to qualitatively model public health interventions at the population level.
dc.description.versionPeer Reviewed
dc.identifier.citationM. Laskowski, B. C. P. Demianyk, J. Benavides, et al., “Extracting Data from Disparate Sources for Agent-Based Disease Spread Models,” Epidemiology Research International, vol. 2012, Article ID 716072, 18 pages, 2012. doi:10.1155/2012/716072
dc.identifier.urihttp://dx.doi.org/10.1155/2012/716072
dc.identifier.urihttp://hdl.handle.net/1993/30508
dc.language.rfc3066en
dc.rightsopen accessen_US
dc.rights.holderCopyright © 2012 M. Laskowski et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
dc.titleExtracting Data from Disparate Sources for Agent-Based Disease Spread Models
dc.typeJournal Article
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