SIRS-with-Mobility

This project was developed as part of the Life Data Epidemiology 2019/2020 course.

Project

Authors:

• Clara Eminente (University of Padova)
• Nicola Dainese (University of Padova)

Supervised by:

• Professor Leonardo Badia (University of Padova, DEI)
• Dott.ssa Chiara Poletto

Description and Results

We investigated the role of mobility between two communities (represented by two networks) in the reintroduction of an otherwise disappered disease. In detail, we explored the role of the topology of the networks involved and of the main mobility parameter, the probability of mobility $\p_mob$. We used two different metrics to echieve this result: the probability of extinction and the fraction of cumulative time spent as disease free. The epidemic model we investigated is a stochastic SIRS with topology.

The main results of this work can be found in the report "Dainese_Eminente_report.pdf"