This project was realized as part of the Complex Systems and Network Science exam of the Master's degree in Artificial Intelligence, University of Bologna.
The aim of the project is to simulate SARS-CoV-2 spread in a fictional and simplified company named CSNS_Group, and test different countermeasures (face masks, contact tracing, vaccination).
The company has a team-based organizational structure which network of contacts is build using a power-law distribution. To simulate the epidemic evolution and test different scenarios we define an epidemic model with 6 classes and 5 control parameters.
See the project review for more details.
- Download the CSNS_Group.nlogo file.
- Open it with NetLogo.
- Follow the instruction reported in the model Info.
This project is licensed under the Apache License 2.0 - see the LICENSE.md file for details.
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