Coronavirus Modeling
Final Project for Graph Mining, utilizing Python 3 and NetworkX.
Clone the project or otherwise pull down. Run by using python epidemic.py. There are different command line flags to help you out. Check python epidemic.py --help for more.
Recommended use case is to build a graph via python epidemic.py -o data/graph.txt and then import it multiple times later with python epidemic.py -i data/graph.txt.
Note that this application will download and parse a lot of information from the NHTS and the U.S. Census at the beginning. This information will be cached for future runs of the app.
Installation
Clone the repository and cd into the root directory. To download all dependencies, run:
pip3 install -r requirements.txt
Note that this depends on an active Python 3 installation on your computer.
Running
# View all parameters
python epidemic.py --help
# Save a population with 1000 people
python epidemic.py -n 1000 -o data/graph.txt
# Run a simulation using the previous graph as input
python epidemic.py -i data/graph.txt
# Enact social distancing
python epidemic.py -i data/graph.txt --social-distancing
# Decrease infectivity on social distancing to 5%
python epidemic.py -i data/graph.txt --social-distancing -sr 0.05
# Change percent infection on interaction to 75%
python epidemic.py -i data/graph.txt -pi .75
# Plot the result
python epidemic.py -i data/graph.txt --plot