With the aim of understanding risk factors related to the spread and prevalence of Covid-19, it is important to have a good prediction model able to mimic the spread of the disease along time and space. Such a model will depend on supposed risk factors and variation of the spread conditionally to a variation of a risk factor will allow assessing its importance.

Specifically, we will work on the SIR (Susceptible, Infectious, and Recovered) model in which parameters will be allowed to change along with time and space.

If you hace interest in this technology, you can contact the researchers of the project, Stefano (stefano.cabras[at]uc3m.es) and Juan Miguel (juanmiguel.marin[at]uc3m.es).