Biography
Dr Genevieve Cezard is a Senior Research Associate in health data science working in the Cardiovascular Epidemiology Unit at the University of Cambridge. In 2024, she was awarded a HDR UK Big Data for Complex Disease fellowship to investigate the relationship between diabetes and the development of multiple long term conditions in Scotland, England and Wales. Genevieve studied at the Institut de Statistique de l’Université de Paris (ISUP) where she earned a statistician diploma alongside a Master’s degree in applied mathematics and statistics from University of Paris VI in 2005. After working as a statistician for health agencies and the private sector in France and Canada, she joined the University of Edinburgh in 2010, marking the start of her academic journey. She completed her PhD in population health at the University of St Andrews in 2020.
Research
Genevieve’s research is situated at the intersection of social epidemiology and health data science, with a particular emphasis on the use of linked electronic health records to inform and improve population health in the UK. Her current fellowship investigates the association between diabetes and the development of multiple long term conditions, drawing on whole-population linked health data from Scotland, England and Wales. Previously, her research explored ethnic inequalities in health, adiposity and diabetes in South Asian populations in the UK, social inequalities in chronic disease trajectories and the impact of COVID-19 infection and vaccination on population health. Broadly, her research interests encompass the social and biological mechanisms underpinning health inequalities, disease associations and trajectories of multiple long term conditions across the life course.
Publications
ORCID: https://orcid.org/0000-0002-3011-7416 Google scholar: https://scholar.google.co.uk/citations?hl=en&user=ie1QXr8AAAAJ Selected publications:
1. Cezard, G.I., Denholm, R.E., Knight, R., Wei, Y., Teece, L., Toms, R., Forbes, H.J., Walker, A.J., Fisher, L., Massey, J., Hopcroft, L.E.M., Horne, E.M.F., Taylor, K., Palmer, T., Arab, M.A., Cuitun Coronado, J.I., Ip, S.H.Y., Davy, S., Dillingham, I., Bacon, S., Mehrkar, A., Morton, C.E., Greaves, F., Hyams, C., Davey Smith, G., Macleod, J., Chaturvedi, N., Goldacre, B., Whiteley, W.N., Wood, A.M., Sterne, J.A.C., Walker, V., On behalf of the Longitudinal Health and Wellbeing and Data and Connectivity UK COVID-19 National Core Studies, C. study and the O. collaborative, 2024. Impact of vaccination on the association of COVID-19 with cardiovascular diseases: An OpenSAFELY cohort study. Nature Communications 15, 2173. https://doi.org/10.1038/s41467-024-46497-0
2. Kerr, S.*, Bedston, S.*, Cezard, G.*, Sampri, A.*, Murphy, S.*, Bradley, D.T.*, Morrison, K., Akbari, A., Whiteley, W., Sullivan, C., Patterson, L., Khunti, K., Denaxas, S., Bolton, T., Khan, S., Keys, A., Weatherill, D., Mooney, K., Davies, J., Ritchie, L., McMenamin, J., Kee, F., Wood, A., Lyons, R.A., Sudlow, C., Robertson, C., Sheikh, A., 2024. Undervaccination and severe COVID-19 outcomes: meta-analysis of national cohort studies in England, Northern Ireland, Scotland, and Wales. The Lancet 403, 554–566. https://doi.org/10.1016/S0140-6736(23)02467-4 (* joint first authorship)
3. Cezard, G., Sullivan, F., Keenan, K., 2022. Understanding multimorbidity trajectories in Scotland using sequence analysis. Scientific Reports 12, 16485. https://doi.org/10.1038/s41598-022-20546-4
4. Cézard, G., Finney, N., Kulu, H., Marshall, A., 2022. Ethnic differences in self‐assessed health in Scotland: The role of socio‐economic status and migrant generation. Population Space and Place 28. https://doi.org/10.1002/psp.2403 5. Cezard, G., McHale, C.T., Sullivan, F., Bowles, J.K.F., Keenan, K., 2021. Studying trajectories of multimorbidity: a systematic scoping review of longitudinal approaches and evidence. BMJ Open 11, e048485. https://doi.org/10.1136/bmjopen-2020-048485
