Epidemic-Graph-Simulation

A simulation of an epidemic on a lattice graph. Code written by Kevin Hua - April 2020.

Dependencies

• matplotlib
• networkx
• math
• random
• argparse

Files in Project:

• Source Code/Agent.py
• Source Code/Network.py
• Source Code/main.py
• README.md

Agent.py

Contains code relevant to the Agent object. Agents are stored in the Network.

Network.py

Contains code for modeling the Network and simulations.

main.py

Contains code for running the simulation in general. Code uses command-line arguments to set the hyper-parameters. Each parameter uses a default value, but can be overridden.

Running the Simulation

Basic run:

> python3 main.py

Parameters:

• [--L] Lattice Size (L x L) ==> (default=100)
• [--N] population density ==> (default=1.0)
• [--t] timesteps to show ==> (default=500)
• [--n_0] initial infected population size ==> (default=1)
• [--lam] basic infection rate ==> (default=0.1)
• [--asym_l] length of asymptomatic phase ==> (default=20)
• [--symp_l] length of symptomatic phase ==> (default=20)
• [--influx] influx rate ==> (default=0.0)

Sample modified run:

> python3 main.py --L=1000 --N=0.2