Agent Based Virus Model using NetLogo: Infection Propagation, Precaution, Recovery, Multi-site Mobility and (Un)Lockdown
Dibakar Das

TL;DR
This paper introduces a comprehensive agent-based virus propagation model in NetLogo that simulates infection spread, mobility, precautions, recovery, and lockdown measures across multiple sites, serving educational and research needs.
Contribution
The paper presents a novel, flexible virus propagation model with independent site and route lockdown features, expanding on existing models for detailed simulation capabilities.
Findings
Demonstrated model functionalities through example simulations
Enabled independent control of site and route lockdowns
Supported educational and research applications
Abstract
This paper presents a novel virus propagation model using NetLogo. The model allows agents to move across multiple sites using different routes. Routes can be configured, enabled for mobility and (un)locked down independently. Similarly, locations can also be (un)locked down independently. Agents can get infected, propagate their infections to others, can take precautions against infection and also subsequently recover from infection. This model contains certain features that are not present in existing models. The model may be used for educational and research purposes, and the code is made available as open source. This model may also provide a broader framework for more detailed simulations. The results presented are only to demonstrate the model functionalities and do not serve any other purpose.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsOpinion Dynamics and Social Influence · Mathematical and Theoretical Epidemiology and Ecology Models · Network Security and Intrusion Detection
