Publication

Anagnostou et al. (2022)

Code and data

View the CHARM model on GitLab at: https://gitlab.com/anabrunel/charm

It is archived on Figshare: https://doi.org/10.17633/rd.brunel.18517892.v1

In relation to the CHARM model, the article also includes links to their app code (https://gitlab.com/anabrunel/charm-app) and hosted app (https://charm-des-app.herokuapp.com/) (although no longer available as heroku not active).

Journal article

The article does not provide permissions to reshare, so cannot be uploaded.

If you wish to view this article, please navigate to any of:

• IEEE Xplore: https://doi.org/10.1109/WSC57314.2022.10015462
• Brunel University Research Archive: https://bura.brunel.ac.uk/handle/2438/25912 (open access for personal use)
• UCL Discovery: https://discovery.ucl.ac.uk/id/eprint/10187277/ (open access for personal use)
• ACM Digital Library: https://dl.acm.org/doi/10.5555/3586210.3586312

No supplementary materials.

References

Anagnostou, Anastasia, Derek Groen, Simon J. E. Taylor, Diana Suleimenova, Nura Abubakar, Arindam Saha, Kate Mintram, et al. 2022. “FACS-CHARM: A Hybrid Agent-Based and Discrete-Event Simulation Approach for Covid-19 Management at Regional Level.” In 2022 Winter Simulation Conference (WSC), 1223–34. https://doi.org/10.1109/WSC57314.2022.10015462.