Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/43429
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dc.contributorDepartment of Applied Mathematics-
dc.creatorWu, Q-
dc.creatorLou, Y-
dc.date.accessioned2016-06-07T06:16:16Z-
dc.date.available2016-06-07T06:16:16Z-
dc.identifier.issn1054-1500-
dc.identifier.urihttp://hdl.handle.net/10397/43429-
dc.language.isoenen_US
dc.publisherAmerican Institute of Physicsen_US
dc.rights© 2016 AIP Publishing LLC.en_US
dc.rightsThis article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in Q. Wu and Y. Lou, Chaos 26, 023108 (2016) and may be found at https://dx.doi.org/10.1063/1.4941670en_US
dc.titleLocal immunization program for susceptible-infected-recovered network epidemic modelen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume26-
dc.identifier.issue2-
dc.identifier.doi10.1063/1.4941670-
dcterms.abstractThe immunization strategies through contact tracing on the susceptible-infected-recovered framework in social networks are modelled to evaluate the cost-effectiveness of information-based vaccination programs with particular focus on the scenario where individuals belonging to a specific set can get vaccinated due to the vaccine shortages and other economic or humanity constraints. By using the block heterogeneous mean-field approach, a series of discrete-time dynamical models is formulated and the condition for epidemic outbreaks can be established which is shown to be not only dependent on the network structure but also closely related to the immunization control parameters. Results show that increasing the immunization strength can effectively raise the epidemic threshold, which is different from the predictions obtained through the susceptible-infected-susceptible network framework, where epidemic threshold is independent of the vaccination strength. Furthermore, a significant decrease of vaccine use to control the infectious disease is observed for the local vaccination strategy, which shows the promising applications of the local immunization programs to disease control while calls for accurate local information during the process of disease outbreak.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationChaos, 2016, v. 26, no. 2, 23108, p. 023108-1-023108-8-
dcterms.isPartOfChaos-
dcterms.issued2016-
dc.identifier.isiWOS:000371600200008-
dc.identifier.scopus2-s2.0-84958567864-
dc.identifier.eissn1089-7682-
dc.identifier.rosgroupid2015002457-
dc.description.ros2015-2016 > Academic research: refereed > Publication in refereed journal-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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