Research project

COVID-19 Epidemic and Hospital Impact Modelling (COVID-ED)

Project overview

The COVID-19 pandemic created an unprecedented demand for acute care services. Hospitals faced the challenge of needing to rapidly restructure care pathways and resourcing priorities to maximise survival rates for critically ill patients.
University Hospital Southampton (UHS) needed evidence-based tools to support clinical and resource planning decisions in response to the pandemic.
COVID-19-ED was able to provide rapid response insight to analytics questions provided by UHS.

Staff

Lead researchers

Professor Michael Boniface CEng, FIET

Professorial Fellow in Information Techn
Research interests
  • Artifical intelligence for health systems
  • Human centred interactive systems
  • Federated systems management 
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Dr Dan Burns

Senior Enterprise Fellow
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Professor Benjamin Macarthur

Personal Chair
Research interests
  • Mathematical modeling
  • Machine learning 
  • Networks
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Professor Dave Woods

Professor of Statistics
Research interests
  • Design of experiments
  • Bayesian statistics
  • Statistical computing
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Collaborating research institutes, centres and groups

Research outputs