dc.rights.license | CC-BY-NC-ND | |
dc.contributor.advisor | Bisseling, Rob | |
dc.contributor.author | Floor, Isabel | |
dc.date.accessioned | 2025-04-03T09:01:43Z | |
dc.date.available | 2025-04-03T09:01:43Z | |
dc.date.issued | 2025 | |
dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/48719 | |
dc.description.abstract | In this thesis I adjusted the Agerank simulation used to simulate vaccinations strategies to a simulation that simulates different situations. I discuss the following subjects: the changes I have made to the functionality of the program to make this possible and the changes I have made to increase the performance of the project. With these changes I have simulated 2G, 3G, and situations in which there are booster vaccines and children get vaccinated. To increase the performance I have used Cython. I have concluded that the 2G and the 3G measures are not long time solutions. | |
dc.description.sponsorship | Utrecht University | |
dc.language.iso | EN | |
dc.subject | Simulating measures, i.e. 2g and 3g, on a population during a pandemic. | |
dc.title | 2G or not 2G | |
dc.type.content | Bachelor Thesis | |
dc.rights.accessrights | Open Access | |
dc.subject.keywords | COVID; Network simulation | |
dc.subject.courseuu | Wiskunde | |
dc.thesis.id | 2204 | |