Dani Prieto-Alhambra

MD MSc(Oxf) PhD

Professor of Pharmaco- and Device Epidemiology

Section Head, Health Data Sciences, Botnar Institute for Musculoskeletal Science
NIHR Senior Research Fellow
Fellow of the International Society of Pharmaco-Epidemiology, FISPE

Real World Evidence, Pharmaco-epidemiology, Device Epidemiology

I am an epidemiologist and academic clinician scientist using routinely collected (real world) health data to generate reliable evidence for improved patient care.

I am interested in the use of large routinely collected health data (also known as real world data) to generate new knowledge or evidence on the utilisation, safety, and effectiveness of drugs and devices as used in usual practice conditions.

I lead the Health Data Sciences section at the Botnar Institute, a team of over 40 staff and students with extensive expertise in the curation and analysis of multiple real world data assets using the OMOP Common Data Model.

More recently, I have joined the European Health Data & Evidence Network EHDEN (www.ehden.eu) and the Observational Health Data Sciences and Informatics OHDSI (www.ohdsi.org) in an effort to accelerate and improve the quality of real world evidence internationally.

From February 2022, I am Deputy Director for the European Medicines Agency's Data Analysis and Real World Interrogation Network (DARWIN EU) Coordination Centre, and lead the Development pillar for the generation and/or validation of analytical tools to generate real world evidence for regulatory use.

Key publications

The effect of patient age at intervention on risk of implant revision after total replacement of the hip or knee: a population-based cohort study.
Journal article

Bayliss LE. et al, (2017), Lancet, 389, 1424 - 1430
Associations of BNT162b2 vaccination with SARS-CoV-2 infection and hospital admission and death with covid-19 in nursing homes and healthcare workers in Catalonia: prospective cohort study.
Journal article

Cabezas C. et al, (2021), Bmj, 374
Association between covid-19 vaccination, SARS-CoV-2 infection, and risk of immune mediated neurological events: population based cohort and self-controlled case series analysis.
Journal article

Li X. et al, (2022), Bmj, 376
Characterising the background incidence rates of adverse events of special interest for COVID-19 vaccines across eight countries: a multinational network cohort study
Journal article

Li X. et al, (2021), The bmj
Comparative risk of thrombosis with thrombocytopenia syndrome or thromboembolic events associated with different covid-19 vaccines: international network cohort study from five European countries and the US.
Journal article

Li X. et al, (2022), Bmj, 379
Renin-angiotensin system blockers and susceptibility to COVID-19: an international, open science, cohort analysis.
Journal article

Morales DR. et al, (2021), Lancet digit health, 3, e98 - e114
Risk of hydroxychloroquine alone and in combination with azithromycin in the treatment of rheumatoid arthritis: a multinational, retrospective study.
Journal article

Lane JCE. et al, (2020), Lancet rheumatol, 2, e698 - e711
Venous or arterial thrombosis and deaths among COVID-19 cases: a European network cohort study.
Journal article

Burn E. et al, (2022), Lancet infect dis
Association of Tramadol vs Codeine Prescriptions With Mortality and Other Adverse Clinical Outcomes-Reply.
Journal article

Xie J. et al, (2022), Jama, 327, 489 - 490
Clinical and Genetic Risk Factors for Acute Incident Venous Thromboembolism in Ambulatory Patients With COVID-19.
Journal article

Xie J. et al, (2022), Jama intern med

Recent publications

Trends of use and patterns of utilisation of drugs with reported shortages across 52 real-world databases from 19 Countries in Europe and North America
Journal article

Pineda Moncusi M. et al, (2025), Lancet public health
Longitudinal trajectories of polypharmacy in older people, and their association with the risk of mortality: a joint latent class model analysis of real-world data from the UK and the Netherlands.
Journal article

Elhussein L. et al, (2025), Age ageing, 54
Sociodemographic factors, biomarkers and comorbidities associated with post-acute COVID-19 sequelae in UK Biobank.
Journal article

Alcalde-Herraiz M. et al, (2025), Nat commun, 16
“Double Machine Learning for Causal Inference in High-Dimensional Electronic Health Records”
Preprint

Du M. et al, (2025)
Ethnic disparities in COVID-19 mortality and cardiovascular disease in England and Wales between 2020-2022.
Journal article

Pineda-Moncusí M. et al, (2025), Nat commun, 16
Clusters of post-acute COVID-19 symptoms: a latent class analysis across 9 databases and 7 countries.
Journal article

López-Güell K. et al, (2025), J clin epidemiol
Use of Machine Learning to Compare Disease Risk Scores and Propensity Scores Across Complex Confounding Scenarios: A Simulation Study.
Journal article

Guo Y. et al, (2025), Pharmacoepidemiol drug saf, 34
Core Concepts in Pharmacoepidemiology: Multi-Database Distributed Data Networks
Journal article

Webster-Clark M. et al, (2025), Pharmacoepidemiology and drug safety
Effectiveness of COVID-19 mRNA primary and booster vaccination against infection and hospitalisation during pregnancy: a target trial emulation and meta-analysis of data from 4 European countries
Preprint

Mercade-Besora N. et al, (2025)
⁠ Ethnic disparities in COVID-19 mortality and cardiovascular disease in England and Wales between 2020-2022
Journal article

Pineda Moncusi M. et al, (2025), Nature communications

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Dani Prieto-Alhambra

Key publications

Recent publications