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Individual-Based Modeling of COVID-19 Vaccine Strategies

dc.contributor.advisorRypdal, Martin
dc.contributor.authorSkagseth, Håvard Mikal
dc.date.accessioned2021-09-16T22:02:22Z
dc.date.available2021-09-16T22:02:22Z
dc.date.issued2021-06-01
dc.description.abstractCOVID-19 is a respiratory disease with influenza-like symptoms originating from Wuhan, China, towards the end of 2019. There has been developed multiple vaccines to contain the virus and to protect the most vulnerable people in society. In this thesis we look at two different vaccination strategies to prevent most deaths and years of life lost. We conclude that the safest and most consistent strategy is to prioritze old people over the people with the most contacts.en_US
dc.identifier.urihttps://hdl.handle.net/10037/22572
dc.language.isoengen_US
dc.publisherUiT Norges arktiske universiteten_US
dc.publisherUiT The Arctic University of Norwayen_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2021 The Author(s)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0en_US
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)en_US
dc.subject.courseIDMAT-3941
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Anvendt matematikk: 413en_US
dc.subjectVDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413en_US
dc.subjectIndividual-Based Modelen_US
dc.subjectCOVID-19en_US
dc.subjectVaccine Strategyen_US
dc.titleIndividual-Based Modeling of COVID-19 Vaccine Strategiesen_US
dc.typeMaster thesisen_US
dc.typeMastergradsoppgaveen_US


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Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
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