The main aim of this thesis is to define, implement and analyze an in-vitro epidemic model which takes into account both the non-homogeneous mixing of the population and the time-evolution of humans' contacts. Particularly, the analysis are focused on founding similarities and discrepancies between the mathematical properties of our and more classical models, and on confirming the fact that, even in a simple abstract dynamic model, some epidemiological quantities are strongly biased.
Stochastic epidemic models on dynamic networks
Zabeo, Federico
2020/2021
Abstract
The main aim of this thesis is to define, implement and analyze an in-vitro epidemic model which takes into account both the non-homogeneous mixing of the population and the time-evolution of humans' contacts. Particularly, the analysis are focused on founding similarities and discrepancies between the mathematical properties of our and more classical models, and on confirming the fact that, even in a simple abstract dynamic model, some epidemiological quantities are strongly biased.File in questo prodotto:
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Utilizza questo identificativo per citare o creare un link a questo documento:
https://hdl.handle.net/20.500.12608/28783