PyMC3_Epi_Extension

Project information

This project contains the Python code for the PhD thesis titled "Joint epidemic and spatio-temporal approach for modelling disease outbreaks" at Lancaster University supervised by Dr. Chris Jewell and Prof. Dr. Peter Neal.

It provides an extension to the Python probabilistic programming library PyMC3 with a sampler to effectively impute missing infection and removal time data. Furthermore, it integrates a mechanistic modeling approach into an epidemiological modeling setting.

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MIT License

Created on

March 29, 2022

Copy SSH clone URLgit@fhm-chicas-code.lancs.ac.uk:koeppell/py-mc-3-epi-extension.git
Copy HTTPS clone URLhttps://fhm-chicas-code.lancs.ac.uk/koeppell/py-mc-3-epi-extension.git

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