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Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS) is leading one of nine new studies awarded total of £2m to use large-scale linked data to address priority research questions that will improve understanding of the pandemic and inform the continued policy response.

Covid data model on world map

Expanding on the incredible work of the UK health research community in supporting policy makers to understand and respond to COVID-19, Health Data Research UK (HDR UK) and The Alan Turing Institute are working in partnership with research teams across the UK to support nine new research projects that tackle ongoing, urgent questions about the virus and support future pandemic preparedness.

The nine projects will be delivered by 16 collaborating universities across Scotland, England, Northern Ireland, and Wales.

The Oxford project is led by Sara Khalid, University Research Lecturer and Senior Research Associate in Biomedical Data Science at NDORMS. 

Funded by UK Research and Innovation (UKRI), the project will ask:

  • What are the biases in ethnicity data and how can they be avoided?
  • What are the differences in risk factors for severe disease between ethnic groups?
  • Can we use data science and machine learning to predict which patients are at increased risk of hospitalisation following COVID-19 infection?

Read the full story on the NDORMS website

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