Emma Copland
BSc MSc
Research Fellow in Medical Statistics/Data Science
I am a Research Fellow working as part of the QResearch team. My research primarily focuses on uptake, safety and effectiveness of COVID-19 vaccination in different groups across the UK population.
Prior to joining the QResearch team I worked in the Department of Women's and Reproductive Health at Oxford as a Statistical Programmer/Data Analyst, where my research focused on non-communicable diseases, including hypertension, cardiovascular disease and cancer.
Recent publications
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Correction to: Safety outcomes following COVID-19 vaccination and infection in 5.1 million children in England (Nature Communications, (2024), 15, 1, (3822), 10.1038/s41467-024-47745-z)
Journal article
Copland E. et al, (2024), Nature Communications, 15
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Safety outcomes following COVID-19 vaccination and infection in 5.1 million children in England
Journal article
Copland E. et al, (2024), Nature communications, 15
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Effectiveness and safety of COVID-19 vaccination in people with blood cancer
Journal article
Copland E. et al, (2024), European Journal of Cancer, 201, 113603 - 113603
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Stratification of diabetes in the context of comorbidities, using representation learning and topological data analysis
Journal article
Wamil M. et al, (2023), Scientific Reports, 13
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Sex-Specific Effects of Blood Pressure Lowering Pharmacotherapy for the Prevention of Cardiovascular Disease: An Individual Participant-Level Data Meta-Analysis.
Journal article
Bidel Z. et al, (2023), Hypertension