Deterministic and Stochastic Epidemic Models
Deterministické a stochastické epidemické modely
dissertation thesis (DEFENDED)

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http://hdl.handle.net/20.500.11956/23402Identifiers
Study Information System: 43333
CU Caralogue: 990014461660106986
Collections
- Kvalifikační práce [11338]
Author
Advisor
Referee
Hlubinka, Daniel
Dohnal, Gejza
Faculty / Institute
Faculty of Mathematics and Physics
Discipline
Probability and Mathematical Statistics
Department
Department of Probability and Mathematical Statistics
Date of defense
11. 9. 2009
Publisher
Univerzita Karlova, Matematicko-fyzikální fakultaLanguage
English
Grade
Pass
Kermack-McKendrick model and its version with vaccination are presented. First, we introduce a model with vaccination and then a numerical study that includes comparison of di erent vaccination strategies and searching for optimal vaccination strategy is presented. We proceed to introduce a stochastic model with migration and consequently we suggest its generalization and prove the existence and uniqueness of a solution to the stochastic di erential equation (henceforth SDE) describing this model. Three stochastic versions of Kermack-McKendrick model with vaccination are suggested and compared. A procedure of nding the optimal vaccination strategy is presented. We also prove the theorem on the existence and uniqueness of a solution to the SDE that drives a model with multiple pathogens. Finally, the stochastic di erential equation describing the general model is presented. We study properties of a solution to this SDE and present sufficient conditions for the existence of a solution that is absorbed by the natural barrier of the model.