Computational Model Library

The Effect of Different Governmental Pandemic Control Measures on the Spread of a Virus Disease (version 1.0.0)

Submitted by: Chiara Letter Software Framework: NetLogo 6.2.0 Programming Language: NetLogo
pandemic control network simulation SARS-CoV-2 NetLogo ABM virus Agent-based modelling COVID-19 pandemic

In this model, the spread of a virus disease in a network consisting of school pupils, employed, and umemployed people is simulated. The special feature in this model is the distinction between different types of links: family-, friends-, school-, or work-links. In this way, different governmental measures can be implemented in order to decelerate or stop the transmission.

model-interface.png

Release Notes

Initial Release

Cite this Model

Chiara Letter (2022, January 26). “The Effect of Different Governmental Pandemic Control Measures on the Spread of a Virus Disease” (Version 1.0.0). CoMSES Computational Model Library. Retrieved from: https://www.comses.net/codebases/19292a35-1f03-45bd-b04c-f89933147559/releases/1.0.0/

References

The framework of the network is based on the network of the NetLogo model Virus on a Network by Stonedahl Forrest & Wilensky Uri, although several modifications have been made.
Stonedahl, F. and Wilensky, U. (2008). NetLogo Virus on a Network model. http://ccl.northwestern.edu/netlogo/models/VirusonaNetwork. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL.

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Contributors

Chiara Letter

DOI

No assigned DOI

Model Version

1.0.0

License

GPL-3.0

Operating System

Windows

Programming Language

NetLogo

Dependencies

None listed

Publish Date

Wednesday, January 26, 2022

Last Updated

Wednesday, January 26, 2022

Downloads 110
Peer Review

Unreviewed

Version Submitter First published Last modified Status
1.0.0 Chiara Letter Wed Jan 26 21:02:42 2022 Wed Jan 26 21:02:42 2022 Published

Discussion

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