| dc.rights.license | CC-BY-NC-ND | |
| dc.contributor.advisor | Ruijgrok, Thijs | |
| dc.contributor.author | Merrienboer, Marleen van | |
| dc.date.accessioned | 2025-04-03T09:01:53Z | |
| dc.date.available | 2025-04-03T09:01:53Z | |
| dc.date.issued | 2025 | |
| dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/48723 | |
| dc.description.sponsorship | Utrecht University | |
| dc.language.iso | EN | |
| dc.subject | In this thesis, we would like to explain how different vaccination strategies could result in fewer casualties during the COVID-19 pandemic. By using mathematical models that couple both social and epidemiological dynamics, the evolution of the pandemic can be simulated for a population that is divided into different age groups. Depending on the time course of the pandemic within this population, different vaccination strate- gies would be most effective for a minimal amount of COVID-19 deaths. | |
| dc.title | Prioritizing COVID-19 vaccination | |
| dc.type.content | Bachelor Thesis | |
| dc.rights.accessrights | Open Access | |
| dc.subject.keywords | COVID-19; epidemiological dynamics; SEPAIR model; next generation matrix | |
| dc.subject.courseuu | Wiskunde | |
| dc.thesis.id | 2291 | |
