Contact information
Phuong Quan
BSc, MSc
DPhil Student
Phuong is a part-time DPhil student based at the Big Data Institute. She is investigating whether unsupervised and semi-supervised computational methods can be used on electronic health records to identify and understand temporal change-points, in particular whether they can help to distinguish between artefacts caused by e.g. changes in data collection methods versus real epidemiological trends.
She also currently works as a Medical Statistician in the Nuffield Department of Medicine which she joined in 2012. She has a BSc in Mathematics from Warwick University, an MSc in Applied Statistics from Oxford University, and worked for several years as a software developer before joining academia.
Recent publications
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Investigation of the impact of the NICE guidelines regarding antibiotic prophylaxis during invasive dental procedures on the incidence of infective endocarditis in England: an Electronic Health Records study
Journal article
QUAN T. et al, (2020), BMC Medicine
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‘Caveat emptor’: the cautionary tale of endocarditis and the potential pitfalls of clinical coding 1 data: an electronic health records study
Journal article
FAWCETT N. et al, (2019), BMC Medicine
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A Role for Tetracycline Selection in Recent Evolution of Agriculture-Associated Clostridium difficile PCR Ribotype 078.
Journal article
Dingle KE. et al, (2019), MBio, 10
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A Candida auris Outbreak and Its Control in an Intensive Care Setting.
Journal article
Eyre DW. et al, (2018), N Engl J Med, 379, 1322 - 1331
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Trends over time in Escherichia coli bloodstream infections, urinary tract infections, and antibiotic susceptibilities in Oxfordshire, UK, 1998-2016: a study of electronic health records.
Journal article
Vihta K-D. et al, (2018), Lancet Infect Dis