Cookbook

This page is a cookbook-in-progress of ways to use epydemic in practice.

• Modelling human contact networks
  • The theory
  • The engineering
  • The limitations
• Monitoring the progress of a simulation
• Seeding the network with specific points of infection
  • Changing the initial seeding procedure
• Modelling epidemics with real-world data
• An epidemic over a changing population
  • Making processes work together
  • Keeping the numbers straight
  • Composition and sub-classing
  • Complicated process sequences
• Studying several diseases in a single population
  • Named instances, parameters, and results
  • Running two diseases with common removal rate
  • Variations
• Comparing series data
• Finding the percolation threshold
• Exploring network micro- and meso-structure
• Improving execution times
  • Don’t be too ambitious
  • Use PyPy
  • Use a multicore workstation
  • Use a compute cluster