Research groups
Ed Burn
Senior Researcher in Epidemiology and Health Economics
Epidemiology | Health Economics | (Health) Data Science
My research is focused on using routinely collected health care data to inform medical decision making. With careful curation and analysis, the data from millions of routinely recorded health care interactions can be used to generate evidence on patient prognosis and the safety, effectiveness, and cost-effectiveness of medicines and procedures.
The foundation of my current research is the use of a common data model to transform disparate sources of health care data into a standard format. This then allows for data analyses to be performed across a distributed network of data partners, with only analytic code and aggregated results sets shared between sites. This approach has already facilitated a number of network studies, ranging from a comparison of alternative approaches to knee replacement in the UK and US to an early description of the people being hospitalised with COVID-19 in the US, South Korea, and Spain.
I have been contributing to the European Health Data & Evidence Network (EHDEN) project and am an active member of the Observational Health Data Sciences and Informatics (OHDSI) network. More recently, I have been leading analyses for projects funded by the European Medicines Agency to assess outcomes among patients with COVID-19 and to evaluate the safety of COVID-19 vaccines.
Key publications
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The natural history of symptomatic COVID-19 during the first wave in Catalonia.
Journal article
Burn E. et al, (2021), Nat commun, 12
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Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study.
Journal article
Burn E. et al, (2020), Nat commun, 11
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Cost-effectiveness of unicompartmental compared with total knee replacement: a population-based study using data from the National Joint Registry for England and Wales.
Journal article
Burn E. et al, (2018), Bmj open, 8
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Lifetime risk of knee and hip replacement following a GP diagnosis of osteoarthritis: a real-world cohort study.
Journal article
Burn E. et al, (2019), Osteoarthritis cartilage, 27, 1627 - 1635
Recent publications
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Data Resource Profile: The Information System for Research in Primary Care (SIDIAP).
Journal article
Recalde M. et al, (2022), Int j epidemiol
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Impact of the COVID-19 pandemic on diagnoses of common mental health disorders in adults in Catalonia, Spain: a population-based cohort study.
Journal article
Raventós B. et al, (2022), Bmj open, 12
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Background rates of five thrombosis with thrombocytopenia syndromes of special interest for COVID-19 vaccine safety surveillance: incidence between 2017 and 2019 and patient profiles from 38.6 million people in six European countries.
Journal article
Burn E. et al, (2022), Pharmacoepidemiol drug saf
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Seek COVER: using a disease proxy to rapidly develop and validate a personalized risk calculator for COVID-19 outcomes in an international network.
Journal article
Williams RD. et al, (2022), Bmc med res methodol, 22