Computational Model Library

Ornstein-Uhlenbeck Pandemic package (0.3.14)

Pandemic (pip install 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.

This is a very simple simulation that in a special case can be shown to be approximated by a compartmental model with time varying infection rate.

pandemic.png

Release Notes

PyPi package.

pip install pandemic

Associated Publications

https://www.linkedin.com/pulse/dear-new-zealand-heres-how-simulate-covid-19-all-your-cotton-phd

Ornstein-Uhlenbeck Pandemic package 0.3.14

Submitted by Peter Cotton Published May 08, 2020 Last modified May 08, 2020
COVID-19 agent-based model

Pandemic (pip install 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.

This is a very simple simulation that in a special case can be shown to be approximated by a compartmental model with time varying infection rate.

Release Notes

PyPi package.

pip install pandemic

Cite this Model

Peter Cotton (2020, May 08). “Ornstein-Uhlenbeck Pandemic package” (Version 0.3.14). CoMSES Computational Model Library. Retrieved from: https://www.comses.net/codebases/8db2d668-eef8-4b2b-92bf-846710fdb731/releases/0.3.14/

Associated Publication(s)

https://www.linkedin.com/pulse/dear-new-zealand-heres-how-simulate-covid-19-all-your-cotton-phd

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Contributors
Peter Cotton
External Repository
github.com/microprediction/pandemic
DOI
No assigned DOI
Model Version
0.3.14
License
MIT
Programming Language
Python
Software Framework
None
Operating System
Operating System Independent
Publish Date
Friday, May 08, 2020
Last Updated
Friday, May 08, 2020
Downloads 144
Peer Review
Unreviewed
Version Submitter First published Last modified Status
0.3.14 Peter Cotton Fri May 8 15:16:02 2020 Fri May 8 15:16:02 2020 Published
0.3.13 Peter Cotton Fri Apr 24 19:52:12 2020 Fri Apr 24 19:52:12 2020 Published

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