Take two moments to gather your wits. Likelihood-free inference for within-host dynamics of bacterial infection

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• Olivier Restif (Department of Veterinary Medicine)
• Thursday 14 April 2016, 12:15-13:30
• Meeting room 15, Centre for Mathematical Sciences.

If you have a question about this talk, please contact Stephen Kissler.

Understanding the within-host dynamics of acute bacterial infections is vital for the development of optimised treatment and the management of drug resistance. A major hurdle has been the limited resolution of data that can be obtained during infection, especially when dealing with low numbers of bacteria. For the last 10 years, a multi-disciplinary research programme at the Department of Veterinary Medicine has developed a pioneering approach, combining “wild-type isogenic tagged strains” (WITS) of Salmonella enterica in mice with mathematical models, to quantitate the key processes that drive the early stages of infection. In this talk, I will present the latest analytical methods that our group has been exploring in order to improve statistical inference and, ultimately, help optimise experimental design. I will cover likelihood-based and likelihood-free techniques, and highlight an efficient moment-closure approach which is showing great promise.

This talk is part of the Worms and Bugs series.

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