xtellurian/pandemic repository overview

⁠Pandemic

An agent model in which commuting, compliance, testing and contagion parameters drive infection in a population of thousands of millions. Agents follow Ornstein-Uhlenbeck processes in the plane and collisions drive transmission. Results are stored at SwarmPrediction.com⁠ for further analysis, and can be retrieved by anyone.

⁠Motivaton

Covered in this post⁠ with the followup here⁠ where possible improvements are also discussed and acknowledgements are made.

The author is not an epidemiologist. The model expresses no opinions on the health aspects of COVID-19. The model offers a novel motion model with some interesting analytic properties also discussed in the article⁠ referenced above.

⁠Usage

pip install pandemic
>> from pandemic import run
>> run()

See also examples⁠ of library use and examples of using the public database of simulations⁠ generated by this model.

⁠Docker

Pandemic can be run in a docker container.

docker run xtellurian/pandemic

⁠Crowd-sourced surrogate model

See SwarmPrediction.com⁠ for an explanation of a SETI-like project to crowd-source a surrogate model.

⁠Basic elements of the model

Covered in detail in this article⁠

⁠Contributing

Opinions and issues are most welcome.