Spatial Immunization

Repository for the manuscript Spatial immunization to abate disease spreading in transportation hubs By Mattia Mazzoli, Riccardo Gallotti, Filippo Privitera, Pere Colet and Jose J. Ramasco

This repository contains two python codes. 

One code describes an SIR epidemic model embedded in London Heathrow Airport, under the assumption of a spatial immunization scenario (sirnurlamp_gamma.py). All other models present in our work rely on the same structure. 

The second code represents the supersampling process that we applied to original Cuebiq data. The code describes all the necessary processes to translate trajectories in the airport perimeter to the temporal contact network used in the epidemic models.