Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/94220
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dc.contributorDepartment of Logistics and Maritime Studiesen_US
dc.creatorNg, CTen_US
dc.creatorCheng, TCEen_US
dc.creatorTsadikovich, Den_US
dc.creatorLevner, Een_US
dc.creatorElalouf, Aen_US
dc.creatorHovav, Sen_US
dc.date.accessioned2022-08-11T01:08:42Z-
dc.date.available2022-08-11T01:08:42Z-
dc.identifier.issn0360-8352en_US
dc.identifier.urihttp://hdl.handle.net/10397/94220-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.rights© 2018 Elsevier Ltd. All rights reserved.en_US
dc.rights© 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.rightsThe following publication Ng, C. T., Cheng, T. C. E., Tsadikovich, D., Levner, E., Elalouf, A., & Hovav, S. (2018). A multi-criterion approach to optimal vaccination planning: Method and solution. Computers & Industrial Engineering, 126, 637-649 is available at https://doi.org/10.1016/j.cie.2018.10.018.en_US
dc.subjectInfluenza vaccinationen_US
dc.subjectOptimal vaccination strategyen_US
dc.subjectTargeted vaccinationen_US
dc.subjectVaccine supply chainen_US
dc.titleA multi-criterion approach to optimal vaccination planning : method and solutionen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage637en_US
dc.identifier.epage649en_US
dc.identifier.volume126en_US
dc.identifier.doi10.1016/j.cie.2018.10.018en_US
dcterms.abstractSeasonal influenza is a serious public health concern, against which vaccination is one of the most effective ways to protect people. However, the effect of vaccination on containing influenza spread critically depends on the immunization programme adopted. Therefore, the problem of finding the optimal combination of vaccination strategies, with a view to decreasing the programme cost, enhancing vaccination efficiency, and improving societal benefits, is of great theoretical and practical importance. We develop a multiple criteria mathematical programming model to address the problem, analyze the model, and derive the structural properties of the optimal solution. Conducting extensive numerical studies to assess the merit of the model, we find that an integrated strategy embracing early-stage indiscriminate mass vaccination with late-stage targeted vaccination outperforms other strategies in cost and efficacy.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationComputers and industrial engineering, Dec. 2018, v. 126, p. 637-649en_US
dcterms.isPartOfComputers and industrial engineeringen_US
dcterms.issued2018-12-
dc.identifier.scopus2-s2.0-85054821073-
dc.identifier.eissn1879-0550en_US
dc.description.validate202208 bckwen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberLMS-0257-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextHong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS16610546-
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