Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/96557
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dc.contributorDepartment of Applied Mathematics-
dc.creatorLiu, Ken_US
dc.creatorLou, Yen_US
dc.date.accessioned2022-12-07T02:55:25Z-
dc.date.available2022-12-07T02:55:25Z-
dc.identifier.issn2468-0427en_US
dc.identifier.urihttp://hdl.handle.net/10397/96557-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2022 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).en_US
dc.rightsThe following publication Liu, K., & Lou, Y. (2022). Optimizing COVID-19 vaccination programs during vaccine shortages. Infectious Disease Modelling, 7(1), 286-298 is available at https://doi.org/10.1016/j.idm.2022.02.002.en_US
dc.subjectCOVID-19en_US
dc.subjectMathematical modelen_US
dc.subjectVaccination allocationen_US
dc.subjectVaccine shortageen_US
dc.titleOptimizing COVID-19 vaccination programs during vaccine shortagesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage286en_US
dc.identifier.epage298en_US
dc.identifier.volume7en_US
dc.identifier.issue1en_US
dc.identifier.doi10.1016/j.idm.2022.02.002en_US
dcterms.abstractDuring the ongoing COVID-19 pandemic, vaccine shortages occur due to various types of constraints, including interruptions in production/supply, higher-than-expected demands, and a lack of resources such as healthcare capacity to administer vaccines. Scientifically informed epidemic models have been utilized as pivotal tools to optimize the immunization programs subject to vaccine shortages. The current paper reviews modelling methods to optimize the allocation strategies of vaccines with differential efficacies by using various model-based outcome measures. The models reviewed in this study are expected to be adopted and extended to make contributions on policy development for disease control under the vaccine shortage scenario.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationInfectious disease modelling, Mar. 2022, v. 7, no. 1, p. 286-298en_US
dcterms.isPartOfInfectious disease modellingen_US
dcterms.issued2022-03-
dc.identifier.scopus2-s2.0-85125871505-
dc.description.validate202212 bckw-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOS-
dc.description.pubStatusPublisheden_US
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