Disease propagation ABM generating SIR, severe cases, and R0 over quasi-time.
(C) 2020 Mark M. Bailey
This repository contains an agent-based model simulating COVID transmission within social networks using Mesa. Model parameters can be set in the 'model_params.py" file. Produces a dataframe output over quasi-time (steps).
This is a work in progress and is intended for research purposes only.
Several parameters were taken from the following report:
https://www.imperial.ac.uk/media/imperial-college/medicine/sph/ide/gida-fellowships/Imperial-College-COVID19-symptom-progression-11-03-2020.pdf
This model works best with the current GitHub version of Mesa:
pip install -e git+https://github.com/projectmesa/mesa#egg=mesa
This is an SIR (susceptible, infected, recovered) model for COVID. Model parameters can be set to simulate the changes in these three variables, as well as the reproduction number (R0) and number of severe cases, over time. An R0 less than 1 would indicate that the epidemic is becoming extinguished. This can be used to simulate the effects of social distancing.
python run.py -o <output_path>