MetaWards implements a national-scale stochastic metapopulation model of disease transmission in Great Britain.
Below is a quick guide to install and run MetaWards. Note however that the model is being actively developed, and for the latest information and documentation, the official website should be consulted.
The MetaWards model can be installed with pip. To install for a user without
root access, do
pip install --user metawards
The metawards executable is now available from the command line.
At the time of writing this, the most recent version of MetaWards is
metawards --version
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metawards version 0.10.0
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-- Source information --
repository: https://github.com/metawards/MetaWards
branch: master
revision: 56949a79ae23b0b9a1310d2a74b37830c1ea3af5
last modified: 2020-04-27T13:06:36+0100
-- Additional information --
Visit https://metawards.github.io for more information
about metawards, its authors and its license
To be able to run MetaWards simulations, we have to provide input data from the MetaWards data repository, and model parameters through a configuration file:
git clone https://github.com/metawards/MetaWardsData
echo "0.9, 0.9, 0.2, 0.9, 0.9" > inputs.csv
The model parameters and different ways of specifying them are documented at metawards.org/tutorial/tutorial.html.
To run metawards with this input data and parameters, use
METAWARDSDATA=/path/to/MetaWardsData metawards --input inputs.csv
By default the output is written to a new subdirectory output.