Associate Professor David Eyre
- Robertson Fellow
- Infectious Diseases Clinician
My research interests include the use of whole-genome sequencing as a tool for understanding the epidemiology and transmission of bacterial and fungal pathogens. My previous work has described the transmission of the major healthcare-associated pathogen Clostridium difficile and has also included large-scale sequencing projects tracking the spread of gonorrhoea and the emerging multi-drug resistant fungus Candida auris. I am currently working on developing mathematical models for pathogen transmission that allow risk factors for transmission to be identified, as a means to suggest potential interventions to prevent infections spreading.
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. I have developed methods using sequencing data to detect the presence of infection, e.g. from orthopedic devices removed from patients, as well as predict antibiotic resistance, e.g. in Enterobacteriaceae and Neisseria gonorrhoeae.
Additionally I work on using routinely collected healthcare data to investigate the epidemiology of infectious diseases and to investigate individual patient responses to infection and treatment.
I work closely with the Modernising Medical Microbiology consortium on several of these projects.
Artificial intelligence driven assessment of routinely collected healthcare data is an effective screening test for COVID-19 in patients presenting to hospital
Soltan AAS. et al, (2020)
In vitro Activity of Omadacycline, a New Tetracycline Analog, and Comparators Against Clostridioides difficile.
Begum K. et al, (2020), Antimicrobial agents and chemotherapy
Hospital Admission Location Prediction via Deep Interpretable Networks for the Year-round Improvement of Emergency Patient Care
el-Bouri R. et al, (2020), IEEE Journal of Biomedical and Health Informatics
Metagenomic sequencing as a clinical diagnostic tool for infectious diseases: a systematic review and meta-analysis
Govender K. et al, (2020)
RNA polymerase mutations cause cephalosporin resistance in clinical Neisseria gonorrhoeae isolates.
Palace SG. et al, (2020), eLife, 9