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Inference, prediction and optimization of non-pharmaceutical interventions using compartment models: the PyRoss library
[article]
2020
arXiv
pre-print
PyRoss is an open-source Python library that offers an integrated platform for inference, prediction and optimisation of NPIs in age- and contact-structured epidemiological compartment models. This report outlines the rationale and functionality of the PyRoss library, with various illustrations and examples focusing on well-mixed, age-structured populations. The PyRoss library supports arbitrary structured models formulated stochastically (as master equations) or deterministically (as ODEs) and
arXiv:2005.09625v1
fatcat:ogkpp4hdu5hj3p4syvzkddgtp4