High-resolution agent-based modeling of campus population behaviors for pandemic response planning

Authors

Hiroki Sayama, Binghamton University--SUNY

Document Type

Video

Publication Date

10-17-2024

Keywords

R, Python

Abstract

This presentation reports an application of high-resolution agent-based modeling and simulation to COVID-19 pandemic response planning on our University campus that was conducted in the summer of 2020. Preprint: https://arxiv.org/abs/2405.11414

Comments

This presentation was given at Binghamton University during the DataViz Showcase: Fall 2024

Recommended Citation

Sayama, Hiroki, "High-resolution agent-based modeling of campus population behaviors for pandemic response planning" (2024). DataViz Community at BingU. 3.
https://orb.binghamton.edu/dataviz_community/3

Creative Commons License

This work is licensed under a Creative Commons Attribution-Share Alike 4.0 International License.