MetaWards: A flexible metapopulation framework for modelling disease spread

Python C Submitted 20 October 2021 • Published 14 February 2022
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Authors

Christopher Woods (0000-0001-6563-9903), Lester Hedges (0000-0002-5624-0500), Christopher Edsall (0000-0001-6863-2184), Ellen Brooks-Pollock (0000-0002-5984-4932), Christopher Parton-Fenton (0000-0003-0052-8430), Trevelyan J. McKinley (0000-0002-9485-3236), Matt J. Keeling (0000-0003-4639-4765), Leon Danon (0000-0002-7076-1871)

Citation

Woods et al., (2022). MetaWards: A flexible metapopulation framework for modelling disease spread. Journal of Open Source Software, 7(70), 3914, https://doi.org/10.21105/joss.03914

@article{Woods2022, doi = {10.21105/joss.03914}, url = {https://doi.org/10.21105/joss.03914}, year = {2022}, publisher = {The Open Journal}, volume = {7}, number = {70}, pages = {3914}, author = {Christopher Woods and Lester Hedges and Christopher Edsall and Ellen Brooks-Pollock and Christopher Parton-Fenton and Trevelyan J. McKinley and Matt J. Keeling and Leon Danon}, title = {MetaWards: A flexible metapopulation framework for modelling disease spread}, journal = {Journal of Open Source Software} }
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epidemiology epidemics sir-model compartmental transmission model covid python cython

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ISSN 2475-9066