Epidemiological Agent-Based Modelling Software (Epiabm)
| Autor: | Gallagher, Kit, Bouros, Ioana, Fan, Nicholas, Hayman, Elizabeth, Heirene, Luke, Lamirande, Patricia, Lemenuel-Diot, Annabelle, Lambert, Ben, Gavaghan, David, Creswell, Richard |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Journal of Open Research Software, 12(1), p. 3 |
| Druh dokumentu: | Working Paper |
| DOI: | 10.5334/jors.449 |
| Popis: | Epiabm is a fully tested, 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, with comprehensive testing and documentation for ease of understanding and extensibility. Epiabm is publicly available through GitHub at https://github.com/SABS-R3-Epidemiology/epiabm. Comment: Submitted to Journal of Open Research Software |
| Databáze: | arXiv |
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