The growth rate in epidemic network models
Venue: The event will take place online through the ZOOM platform. To get the access codes please contact the secretary office (phd.maths [at] unitn.it)
Time: 4.30 p.m.
Carla Molina Grané - PhD in Mathematics, University of Trento
In many real situations and in most of the already popular epidemiological models, the number of cases grows exponentially at an early phase. The growth rate r, also called the Malthusian parameter, describes this rate of exponential growth in the number of infectives observed when an epidemic takes off in a large population setting with mainly susceptible individuals. In the seminar I will introduce the theoretical framework of network SIR epidemiological models, locally unclustered, having as the main goal the computation of the Malthusian parameter.
I will start by recalling the computation of the growth rate in an homogeneous SIR model in order to better understand the goal.
Supervisors: Andrea Pugliese
The seminar corresponds to the final exam of Mathematical Models for Epidemics, a planned course within Molina Grané’s first year PHD study programme