Sir Aziz Sheikh (OBE, FRSE, FMedSci)
Professor of Primary Care Research and Development
- Usher Institute
- College of Medicine and Veterinary Medicine
Contact details
Address
- Street
-
Usher Institute – The University of Edinburgh
Old Medical School
Teviot Place - City
- Edinburgh
- Post code
- EH8 9AG
- Street
-
Usher Institute – The University of Edinburgh
NINE Edinburgh BioQuarter
9 Little France Road - City
- Edinburgh
- Post code
- EH16 4UX
Background
Professor Sir Aziz Sheikh is Director of the Usher Institute. He is also Dean of Data for The University of Edinburgh, Director of the Asthma UK Centre for Applied Research (AUKCAR) and a Research Director of Health Data Research UK.
Qualifications
BSc, MBBS, MSc, MD, FRCGP, FRCP, FRCPE, FFPH, FACMI, FFCI, FRSE, FMedSci
Responsibilities & affiliations
He has served as an adviser to a number of Scottish, UK and international government bodies and to inter-governmental organisations, including the World Bank and World Health Organization.
He is an editorial board member of Health Informatics Journal, Journal of the Royal Society of Medicine, The Lancet Regional Health Europe, Medical Care and PLoS Medicine, and is Editor-in-Chief of the International Journal for Quality in Health Care.
Aziz was made an Officer of the Order of the British Empire for Services to Medicine and Health Care in 2014, and received a knighthood for 'Services to COVID-19 research and policy' in 2022.
Research summary
Aziz is a primary care academic and epidemiologist with substantial research interests in asthma/allergy and in leveraging the potential of health information technology and data science to transfrom the delivery of care and improve population health.
He enjoys collaborations with academic colleagues across the globe and works closely with policymakers both in the UK and internationally.
He has held research grants in excess of $100m, publishes regularly in the world's foremost journals, has over 50,000 citations to his work and is a Highly Cited Researcher (Clarivate, 2018).
Project activity
Aziz's projects include work on health inequalities and asthma.
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The global impact of tobacco control policies on smokeless tobacco use: a systematic review
In:
The Lancet Global Health, vol. 11, pp. e953-e968
DOI: https://doi.org/10.1016/S2214-109X(23)00205-X
Research output: Contribution to Journal › Article (Published) -
An external validation of the QCOVID3 risk prediction algorithm for risk of hospitalisation and death from COVID-19: An observational, prospective cohort study of 1.66m vaccinated adults in Wales, UK
In:
PLoS ONE, vol. 18, pp. e0285979
DOI: https://doi.org/10.1371/journal.pone.0285979
Research output: Contribution to Journal › Article (Published) -
Accelerated waning of the humoral response to COVID-19 vaccines in obesity
In:
Nature Medicine, vol. 29
DOI: https://doi.org/10.1038/s41591-023-02343-2
Research output: Contribution to Journal › Article (E-pub ahead of print) -
Device-Measured Change in Physical Activity in Primary School Children During the UK COVID-19 Pandemic Lockdown: A Longitudinal Study
(9 pages)
In:
Journal of Physical Activity and Health, pp. 1-9
DOI: https://doi.org/10.1123/jpah.2022-0434
Research output: Contribution to Journal › Article (E-pub ahead of print) -
Asthma control and care among six public health clinic attenders in Malaysia: A cross-sectional study
In:
Health Science Reports, vol. 6, pp. e1021
DOI: https://doi.org/10.1002/hsr2.1021
Research output: Contribution to Journal › Article (E-pub ahead of print) -
Effectiveness and safety of coronavirus disease 2019 vaccines
In:
Current opinion in pulmonary medicine, vol. 29, pp. 138-142
DOI: https://doi.org/10.1097/MCP.0000000000000948
Research output: Contribution to Journal › Article (Published) -
Moving towards a precision approach for prevention of severe COVID-19 - Authors' reply
In:
The Lancet, vol. 401, pp. 1424
DOI: https://doi.org/10.1016/S0140-6736(23)00444-0
Research output: Contribution to Journal › Comment/debate (Published) -
Determinants of recovery from post-COVID-19 dyspnoea: analysis of UK prospective cohorts of hospitalised COVID-19 patients and community-based controls
In:
The Lancet Regional Health Europe
DOI: https://doi.org/10.1016/j.lanepe.2023.100635
Research output: Contribution to Journal › Article (E-pub ahead of print) -
Estimating Medication Adherence from Electronic Health Records: Comparing Methods for Mining and Processing Asthma Treatment Prescriptions
In:
BMC Medical Research Methodology
Research output: Contribution to Journal › Article (Accepted/In press) -
Deriving and validating an asthma diagnosis prediction model for children and young people in primary care
In:
Wellcome Open Research
DOI: https://doi.org/10.12688/wellcomeopenres.19078.1
Research output: Contribution to Journal › Article (Accepted/In press)