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Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
EN
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EL
| URI: | http://purl.tuc.gr/dl/dias/89273E3F-7A93-41C2-8FD2-5831A98800A7 | ||
| Year | 2021 | ||
| Type of Item | Diploma Work | ||
| License |
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| Bibliographic Citation | Stavros-Rafail Katsaras, "Towards vaccination control strategy against COVID-19 for optimal resource distribution among different age groups", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2021 https://doi.org/10.26233/heallink.tuc.89676 | ||
| Appears in Collections |
The rapid dissemination of the COVID-19 pandemic in recent times has turned the focus upon developing strategies for eradicating the COVID-19 disease. As development of vaccinations against SARS-CoV-2 virus has proven to be useful for the immunization and prevention of severe cases, it is important to employ optimal control policies regarding inoculation of a population while taking into consideration factors such as the available vaccine resources, the death counts and attaining herd immunity.In this work, an age-structured compartmental epidemiological model is proposed in order to model the dynamics of COVID-19. The model is then used to describe the dissemination of the disease in Greece based on available data using system identification techniques and a-priori knowledge of the disease behavior. The available data are processed to estimate the true number of infections and to best suit the model. The results are then presented for the data processing, the specification of the system parameters and the fitting of the system outputs to the data. Finally, preliminary work on the optimal vaccination control strategy based on Pontryagin’s Minimum Principle is presented for a controller which drives the system to herd immunity while minimizing the vaccine resource utilization and the number of deaths in the population.
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