What is it about?
Mathematical models help understand and anticipate the spread of pathogens, and allow to compare control measures. Yet, realistic models need computer programs that are difficult to code, maintain and verify. Our work presents a text-based modelling language to encourage the co-construction of epidemiological models that can be read by everyone and revised at any time. Such models are processed by a generic simulation engine to produce simulations.
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This page is a summary of: EMULSION: Transparent and flexible multiscale stochastic models in human, animal and plant epidemiology, PLoS Computational Biology, September 2019, PLOS,
DOI: 10.1371/journal.pcbi.1007342.
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