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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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
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Evaluation of Whole-Genome Sequencing for Mycobacterial Species Identification and Drug Susceptibility Testing in a Clinical Setting: a Large-Scale Prospective Assessment of Performance against Line Probe Assays and Phenotyping.
Journal article
Quan TP. et al, (2018), J Clin Microbiol, 56
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Mortality risks associated with emergency admissions during weekends and public holidays: an analysis of electronic health records.
Journal article
Walker AS. et al, (2017), Lancet, 390, 62 - 72
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Clostridium difficile in England: can we stop washing our hands? - Authors' reply.
Journal article
Eyre DW. et al, (2017), Lancet Infect Dis, 17, 478 - 479
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Contribution to Clostridium Difficile Transmission of Symptomatic Patients With Toxigenic Strains Who Are Fecal Toxin Negative.
Journal article
Mawer DPC. et al, (2017), Clin Infect Dis, 64, 1163 - 1170