Models and Bayesian inference for disease outbreaks with whole-genome-sequence data

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• Philip O'Neill, University of Nottingham
• Friday 03 March 2023, 12:00-13:00
• Zoom.

If you have a question about this talk, please contact Paula Smith.

We describe a framework for modelling outbreaks of infectious disease where the available data include high-resolution genetic data. The models are individual-based and stochastic. Model fitting is carried out in a Bayesian framework. We introduce methods for assessing model fit. Applications to nosocomial infections and livestock diseases will be presented.

This talk is part of the Worms and Bugs series.

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• All CMS events
• All Talks (aka the CURE list)
• Cambridge Immunology
• Cambridge Infectious Diseases
• Worms and Bugs
• Zoom
• bld31

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