Emma Pritchard
Medical Statistician
Emma joined the group as a Medical Statistician in October 2018. Her work focuses on using electronic health records to study populations at increased risk of infectious diseases. During her time at MMM, she has collaborated with the Office for National Statistics on the COVID-19 Infection Survey, investigating changes and risk factors associated with COVID-19. Currently, Emma is completing a DPhil titled, “Identifying populations at high risk of infections and antimicrobial resistance using large-scale electronic health record data”.
Recent publications
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Detecting changes in population trends in infection surveillance using community SARS-CoV-2 prevalence as an exemplar
Pritchard E. et al, (2024), American Journal of Epidemiology, 193, 1848 - 1860
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Predicting future hospital antimicrobial resistance prevalence using machine learning
Vihta K-D. et al, (2024), Communications Medicine, 4
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Improving the representativeness of UK’s national COVID-19 Infection Survey through spatio-temporal regression and post-stratification
Pouwels KB. et al, (2024), Nature Communications, 15
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SARS-CoV-2, influenza A/B and respiratory syncytial virus positivity and association with influenza-like illness and self-reported symptoms, over the 2022/23 winter season in the UK: a longitudinal surveillance cohort
Dietz E. et al, (2024), BMC Medicine, 22
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Risk of SARS-CoV-2 reinfection during multiple Omicron variant waves in the UK general population
Wei J. et al, (2024), Nature Communications, 15