Analysing genomic data from hospital superbugs (360G-Wellcome-202183_Z_16_Z)

We will analyse patient-level data on nosocomial pathogens (e.g. MRSA) including whole-genome-sequence data. Key goals include improving our quantitative understanding of transmission and assessing the effectiveness of control measures. The analysis methods are state-of-the-art techniques involving detailed individual-level stochastic models and computationally-intensive algorithms within a Bayesian statistical framework. By estimating parameters in the models, along with the associated uncertainty attached to these estimates, we can directly address particular questions of interest.