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Manuscript code: A Bayesian approach to identifying the role of hospital structure and staff interactions in nosocomial transmission of SARS-CoV-2

Dataset

  • Jessica Bridgen (Creator)
  • Joseph M Lewis (Creator)
  • Stacy Todd (Creator)
  • Miriam Taegtmeyer (Creator)
  • Jonathan M. Read (Creator)
  • Chris P. Jewell (Creator)

Description

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 available25/01/2024
PublisherZenodo

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