Code and data for the paper:

https://www.biorxiv.org/content/10.1101/2020.03.01.971630v1.abstract

Repository structure

• the measles_data_analysis notebook contains the code for the data processing and visualization of the WHO measles data
• the segregation_and_epidemics_sim notebook contains the code for the stochastic simulations of networks models and data analysis
• datasets folder contains the datasets on measles to reproduce fig 1 of paper
• network_fig folder contains the subplots for the figure showing an example network (fig 2 of paper)
• sim_plots folder contains all main (sub)plots, related to the simulations and analysis of results

You can find here below a cartoon representing the segregation algorithm:

Given that 'social-status' variables s, s1, s2 and snew, node_1 decides that s/he is too 'far' from her/his neighbour node_2 . S/he willing to rewire his edge, and picks at random node_new, which is now 'close enough' , so s/he willing to stay.

Please cite as:

Lazzari, Gianrocco, and Marcel Salathe. "Breaking Apart Contact Networks with Vaccination." BioRxiv (2020).

or

 @article{lazzari2020breaking,
  title={Breaking Apart Contact Networks with Vaccination},
  author={Lazzari, Gianrocco and Salathe, Marcel},
  journal={BioRxiv},
  year={2020},
  publisher={Cold Spring Harbor Laboratory}
}