| Autor: |
Kit Gallagher, Ioana Bouros, Nicholas Fan, Elizabeth Hayman, Luke Heirene, Patricia Lamirande, Annabelle Lemenuel-Diot, Ben Lambert, David Gavaghan, Richard Creswell |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
Journal of Open Research Software, Vol 12, Iss 1, Pp 3-3 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2049-9647 |
| DOI: |
10.5334/jors.449 |
| Popis: |
Epiabm is an open-source software package for epidemiological agent-based modelling, re-implementing the well-known CovidSim model from the MRC Centre for Global Infectious Disease Analysis at Imperial College London. It has been developed as part of the first-year training programme in the EPSRC SABS:R3 Centre for Doctoral Training at the University of Oxford. The model builds an age-stratified, spatially heterogeneous population and offers a modular approach to configure and run epidemic scenarios, allowing for a broad scope of investigative and comparative studies. Two simulation backends are provided: a pedagogical Python backend (with full functionality) and a high performance C++ backend for use with larger population simulations. Both are highly modular, and include a comprehensive testing suite (including 100% coverage on unit tests alongside a range of functional and integration tests), as well as complete online documentation for ease of understanding and extensibility. Epiabm is publicly available through GitHub at github.com/SABS-R3-Epidemiology/epiabm. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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