About
This book captures the reproduction of:
Anagnostou, A. Groen, D. Taylor, S. Suleimenova, D. Abubakar, N. Saha, A. Mintram, K. Ghorbani, M. Daroge, H. Islam, T. Xue, Y. Okine, E. Anokye, N. FACS-CHARM: A Hybrid Agent-Based and Discrete-Event Simulation Approach for Covid-19 Management at Regional Level. 2022 Winter Simulation Conference (WSC), Singapore, pp. 1223-1234. (2022). https://doi.org/10.1109/WSC57314.2022.10015462.
Note: This reproduction just focuses on the “CHARM” model from this paper.
Use the navigation bar above to view:
- Original study - the original study article and associated artefacts.
- Reproduction - code and documentation from reproduction of the model.
- Evaluation - describes model reproduction success and compares original study against guidelines for sharing research, criteria for journal reproducibility guidelines, and article reporting guidelines.
- Logbook - chronological entries detailing reproduction work.
- Summary - summary of the computational reproducibility assessment.
Project team
Conducting this reproduction:
Providing support during the reproduction:
Other members of the team on STARS:
Protocol
The protocol for this work is summarised in the diagram below and archived on Zenodo:
Heather, A., Monks, T., Harper, A., Mustafee, N., & Mayne, A. (2024). Protocol for assessing the computational reproducibility of discrete-event simulation models on STARS. Zenodo. https://doi.org/10.5281/zenodo.12179846.
Citation
APA:
Heather A., Monks T., Harper A. (2024). STARS: Computational reproducibility of Anagnostou et al. 2022 (version 0.2.0). URL: https://github.com/pythonhealthdatascience/stars-reproduce-anagnostou-2022
See CITATION.cff and citation_bibtex.bib for alternative formats.
License
See License page.