Professor David Eyre
Research groups
David Eyre
Professor of Infectious Diseases
- Robertson Fellow
- Infectious Diseases Clinician
My research aims to understand who gets different infections and why, and how best to prevent, treat and monitor these infections. I also work on developing artificial intelligence tools to help diagnose and treat hospital patients, and to help hospitals run better.
I use a range of approaches spanning epidemiology, statistics, causal inference, and machine learning. I work with detailed deidentified healthcare record data at both regional and national scales. I also have extensive programming and database expertise.
My other research interests include the use of whole-genome sequencing as a tool for understanding the epidemiology and transmission of bacteria, viruses and fungi, and mathematical modelling of infectious disease transmission. I am also interested in using sequencing technologies as a novel tool for culture-independent microbiology diagnostics. These technologies offer the prospect of same-day diagnosis of infection, rather than having to wait several days for bacteria to grow in the lab as is common now.
I work closely with the Modernising Medical Microbiology consortium on several of these projects, contributing to the Oxford NIHR Biomedical Research Centre and an NIHR Health Protection Research Unit.
Recent publications
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The impact of antimicrobial stewardship ward rounds on antimicrobial use and predictors of advice, uptake, and outcomes
EYRE D. et al, (2025), Journal of Infection
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Govender KN. and Eyre DW., (2025)
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Yuan K. et al, (2024), J Infect
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Addition of macrolide antibiotics for hospital treatment of community-acquired pneumonia
Wei J. et al, (2024), Journal of Infectious Diseases
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Multiple introductions of NRCS-A Staphylococcus capitis to the neonatal intensive care unit drive neonatal bloodstream infections: a case-control and environmental genomic survey
Lees E. et al, (2024), Microbial Genomics