Research Projects

This project will combine large bacterial datasets with epidemiological data and infectious disease modelling to develop novel approaches to better understand the drivers of these bacterial pathogens. Enteric bacterial pathogens, including Shigella species and serovars of Salmonella enterica, represent serious public health threats. The emergence of widespread multidrug resistance to standard antimicrobial therapy has resulted in changing outbreak dynamics. This computational microbiology project will work at the interface of public health microbiology. This project will integrate large bacterial genomic datasets with epidemiological data and infectious disease modelling. These approaches have been successfully used for viral outbreaks, but remain underutilised for bacterial pathogens. The application of these phylodynamic modelling will help to better understand the outbreak dynamics of enteric bacterial pathogens. 

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