Copyright: 2020, Gerrit Großmann, Group of Modeling and Simulation at Saarland University
Version: 0.1 (Please note that this is proof-of-concept code in a very early development stage.)
Caveat lector: This is an academic model, do not use academic models as a basis for political decision-making.
Official Implementation of our stochastic network-based COVID-19 simulation Stochastic (Monte-Carlo) simulation of the of Covid-19 pandemic (of the SARS-CoV-2 virus) on complex networks (contact graphs).
With:
pip install -r requirements.txt
With
python simulation.py
Summary Dataframe as .csv file detailed output in the output/
directory.