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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Penicillin Binding Protein Substitutions Co-occur with Fluoroquinolone Resistance in ‘Epidemic’ Lineages of Multi Drug-Resistant Clostridioides difficile
Journal article
DINGLE K. et al, (2023), mBio
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daiquiri: Data Quality Reporting for Temporal
Datasets
Journal article
Quan TP., (2022), Journal of Open Source Software, 7, 5034 - 5034
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Antimicrobial resistance in commensal opportunistic pathogens isolated from non-sterile sites can be an effective proxy for surveillance in bloodstream infections.
Journal article
Vihta K-D. et al, (2021), Sci Rep, 11
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Antimicrobial resistance determinants are associated with Staphylococcus aureus bacteraemia and adaptation to the healthcare environment: a bacterial genome-wide association study.
Journal article
Young BC. et al, (2021), Microb Genom, 7
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Combining Charlson and Elixhauser scores with varying lookback predicated mortality better than using individual scores.
Journal article
Pritchard E. et al, (2021), J Clin Epidemiol, 130, 32 - 41