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codemeta.json{"@context": "http://schema.org", "@type": "SoftwareSourceCode", "isPartOf": {"@type": "WebApplication", "applicationCategory": "Computational Modeling Software Repository", "operatingSystem": "Any", "name": "CoMSES Model Library", "url": "https://www.comses.net/codebases"}, "publisher": {"@id": "https://www.comses.net", "@type": "Organization", "name": "CoMSES Net", "url": "https://www.comses.net"}, "provider": {"@id": "https://www.comses.net", "@type": "Organization", "name": "CoMSES Net", "url": "https://www.comses.net"}, "name": "Ornstein-Uhlenbeck Pandemic package", "description": "Pandemic (pip install pandemic)\n\nAn 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](http://www.swarmprediction.com) for further analysis, and can be retrieved by anyone.\n", "version": "0.3.13", "targetProduct": {"@type": "SoftwareApplication", "operatingSystem": "platform_independent", "applicationCategory": "Computational Model", "downloadUrl": "https://www.comses.net/codebases/8db2d668-eef8-4b2b-92bf-846710fdb731/releases/0.3.13/download/", "releaseNotes": "[PyPi](https://pypi.org/project/pandemic/) package. \n\npip install pandemic", "softwareVersion": "0.3.13", "identifier": "https://www.comses.net/codebases/8db2d668-eef8-4b2b-92bf-846710fdb731/releases/0.3.13/", "sameAs": "https://www.comses.net/codebases/8db2d668-eef8-4b2b-92bf-846710fdb731/releases/0.3.13/"}, "programmingLanguage": [{"@type": "ComputerLanguage", "name": "Python"}], "author": [{"@type": "Person", "givenName": "Peter", "familyName": "Cotton", "email": "pcotton@intechinvestments.com"}], "identifier": "https://www.comses.net/codebases/8db2d668-eef8-4b2b-92bf-846710fdb731/releases/0.3.13/", "dateCreated": "2020-04-24T19:46:53.888025+00:00", "dateModified": "2020-04-24T19:49:29.817189+00:00", "keywords": ["COVID-19", "Agent-Based Modelling"], "runtimePlatform": ["Python"], "url": "https://www.comses.net/codebases/8db2d668-eef8-4b2b-92bf-846710fdb731/releases/0.3.13/", "datePublished": "2020-04-24", "citation": "Cotton, Peter (2020, April 24). \"Ornstein-Uhlenbeck Pandemic package\" (Version 0.3.13). _CoMSES Computational Model Library_. Retrieved from: https://www.comses.net/codebases/8db2d668-eef8-4b2b-92bf-846710fdb731/releases/0.3.13/", "copyrightYear": 2020, "license": "https://opensource.org/licenses/MIT", "codeRepository": "https://github.com/microprediction/pandemic", "releaseNotes": "[PyPi](https://pypi.org/project/pandemic/) package. \n\npip install pandemic"}PK rP(û"#¥ ¥ docs/README.md# 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.
![](https://github.com/microprediction/pandemic/blob/master/images/pandemic.png)
### Motivaton
Covered in this [post](https://www.linkedin.com/pulse/pandemic-minimalist-2d-ornstein-uhlenbeck-model-peter-cotton-phd) with
the followup [here](https://www.linkedin.com/pulse/dear-new-zealand-heres-how-simulate-covid-19-all-your-cotton-phd/) 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](https://www.linkedin.com/pulse/dear-new-zealand-heres-how-simulate-covid-19-all-your-cotton-phd/) 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.
### 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](https://www.linkedin.com/pulse/dear-new-zealand-heres-how-simulate-covid-19-all-your-cotton-phd/)
### Contributing
Opinions and issues are most welcome. PK QPøû¡m m code/one_liner.sh/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/microprediction/pandemic/master/scripts/run.sh)"PK P/å:×
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