Computational Model Library

Investigating dynamics of covid-19 spread and containment with agent-based modeling (version 1.0.0)

Submitted by: Amirarsalan Rajabi Software Framework: NetLogo Programming Language: NetLogo
epidemic COVID-19 NetLogo

This repository includes an epidemic agent-based model that simulates the spread of Covid-19 epidemic. Normal.nlogo is the main file, while Exploring-zoning.nlogo and Exploring-Testing-With-Tracking.nlogo are modefied models to test the two strategies and run experiments.

Release Notes

This repository includes an epidemic agent-based model that simulates the spread of Covid-19 epidemic. Normal.nlogo is the main file, while Exploring-zoning.nlogo and Exploring-Testing-With-Tracking.nlogo are modified models to test the two strategies and run experiments.

The outputs will be generated using the experiments defined in Behaviorspace of NetLogo.

Cite this Model

Amirarsalan Rajabi (2021, January 21). “Investigating dynamics of covid-19 spread and containment with agent-based modeling” (Version 1.0.0). CoMSES Computational Model Library. Retrieved from: https://www.comses.net/codebases/d6501a88-8463-4f51-bc40-7bfc6d43bf69/releases/1.0.0/

Associated Publication(s)

https://doi.org/10.1101/2020.08.18.20177451

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Contributors

Amirarsalan Rajabi

DOI

No assigned DOI

Model Version

1.0.0

License

MIT

Operating System

Operating System Independent

Programming Language

NetLogo

Dependencies

None listed

Publish Date

Thursday, January 21, 2021

Last Updated

Thursday, January 21, 2021

Downloads 113
Peer Review

Unreviewed

Version Submitter First published Last modified Status
1.0.0 Amirarsalan Rajabi Thu Jan 21 15:39:28 2021 Thu Jan 21 15:39:28 2021 Published

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