Python implementation of a stochastic continuous time SEIR model for nosocomial transmission of SARS-CoV-2. A Metropolis-within-Gibbs algorithm is used to conduct inference on transmission rate parameters and unobserved SE and IR event times. Code is also available on github: https://github.com/jbridgen/nosocomial_covid_model/tree/main
Date made available | 25/01/2024 |
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Publisher | Zenodo |
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