Modeling epidemic diffusion: a stochastic approach

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Supervisor
N. Gugole, M. Turra - Master degree in Mathematics
Date and time
Friday, February 17, 2017 at 9:30 AM - laboratorio ALFA
Contact person
Giandomenico Orlandi
Publication date
February 1, 2017
Department
Computer Science  

Summary

In this work, we review some mathematical models used to describe the spread of epidemics. A particular relevance is given to the stochastic version of these models, represented as a discrete-
time Markov chain and as a system of stochastic differential equations, providing examples of trajectories and a study of the expected duration of an epidemic, as a result of numerical simulations.
Some possible extensions are briefly introduced in the final section. 

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