RSV is associated with more than three million hospitalisations a year across the world, but a number of  preventive interventions will soon be available.

For optimal clinical management and to guide policy decisions around vaccines and therapeutics, it is important to map the epidemiology, healthcare utilisation and outcomes for RSV in near real time.

This PhD project will curate RSV datasets at different severity levels in Scotland using the standard definitions, and to link RSV datasets to asthma datasets to explore the association between RSV infection in early life and subsequent respiratory sequelae in older children.

It is funded as part of the HDR UK Inflammation and Immunity Driver Programme, which seeks to transform the UK’s capabilities to improve understanding of mechanisms and health outcomes, using respiratory and allergic disorders as exemplar domains.

The supervisors will be:

  • Dr Ting Shi, Centre for Medical Informatics, The University of Edinburgh
  • Professor Aziz Sheikh, Centre for Medical Informatics, The University of Edinburgh
  • Professor Jurgen Schwarze, Centre for Inflammation Research.

The successful candidate will work in a highly interdisciplinary environment as part of a vibrant cohort of HDR UK-funded PhD students, with outstanding networking opportunities with fellow students and colleagues located across the four nations of the UK.

  • To find out more and make an application click here.