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My core project focuses on developing statistical methods and tools to understand the transmission patterns of measles in England and Wales. This means disentangling the drivers of transmission in previous outbreaks, and identifying indicators of the local risks of transmission. In particular, I am interested in the influence of spatial and social heterogeneity in immunity on the spread of measles, which can be explored using inferred transmission trees (i.e. who-infected-whom) from previous outbreaks, and by looking into the correlation between various local indicators and the risks of measles outbreaks. I am also interested in the integration of behavioural and movement data into transmission models.

More broadly, I am interested in implementing novel frameworks using Bayesian parameter estimation procedures to reconstruct transmission history. These frameworks aim to complement the information collected by contact tracing investigations, and improve our understanding of the determinants of transmission.