Epidemiological Agent-Based Modelling Software (Epiabm)
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arXiv
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| Main Authors: | , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2022
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| _version_ | 1866911789746225152 |
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| author | Gallagher, Kit Bouros, Ioana Fan, Nicholas Hayman, Elizabeth Heirene, Luke Lamirande, Patricia Lemenuel-Diot, Annabelle Lambert, Ben Gavaghan, David Creswell, Richard |
| author_facet | Gallagher, Kit Bouros, Ioana Fan, Nicholas Hayman, Elizabeth Heirene, Luke Lamirande, Patricia Lemenuel-Diot, Annabelle Lambert, Ben Gavaghan, David Creswell, Richard |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2212_04937 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | Epidemiological Agent-Based Modelling Software (Epiabm) Gallagher, Kit Bouros, Ioana Fan, Nicholas Hayman, Elizabeth Heirene, Luke Lamirande, Patricia Lemenuel-Diot, Annabelle Lambert, Ben Gavaghan, David Creswell, Richard Populations and Evolution Quantitative Methods 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. |
| title | Epidemiological Agent-Based Modelling Software (Epiabm) |
| topic | Populations and Evolution Quantitative Methods |
| url | https://arxiv.org/abs/2212.04937 |