People

Dr Sharmin Shabnam

Research Fellow in Data Science

Photo of Dr Sharmin Shabnam

School/Department: Leicester Diabetes Research Centre; Leicester Real World Evidence Unit

Email: ss1279@leicester.ac.uk

Address: Leicester General Hospital, Gwendolen Rd, Leicester LE5 4PW

Web:

Google Scholar – LinkedIn – Twitter – Bluesky – GitHub

Profile

Dr Sharmin Shabnam is a Health Data Scientist at the Leicester Real World Evidence Unit, Leicester Diabetes Centre, University of Leicester. Her expertise is in managing and analysing large, complex relational electronic databases from UK healthcare records, from both primary and secondary care sources such as Clinical Practice Research Datalink (CPRD), Hospital Episode Statistics (HES), Office for National Statistics (ONS) Death Registry etc. With a PhD in Mechanical Engineering from The Pennsylvania State University, her work bridges data science and healthcare, focusing on analysis of real-world data to support evidence-based decision-making. 

She is a member of the BHF CVD-COVID-UK / COVID-IMPACT consortium which is a UK-wide collaborative research initiative led by the British Heart Foundation Data Science Centre at Health Data Research UK. She is investigating the health impacts of COVID-19 by analysing national-level de-identified, linked electronic health records from across the UK within secure Trusted Research Environments.

She was a member of the DECODE (Develop and Enhance the Care coordination for people with intellectual disabilities and multiple long term Conditions) consortium which is a collaborative research project supported by the National Institute for Health and Care Research (NIHR) programme Artificial Intelligence for Multiple Long-Term Conditions (AIM). She is also a member of the the Monitoring Mortality Inequality Consortium.

Her interests are in data-driven healthcare research and engaging in innovative projects to improve patient outcomes and addressing health inequalities. Her work includes advanced data curation, statistical modelling, machine learning, and analysing diverse data sources to study diabetes and its complications, obesity, multiple long-term conditions, and ethnic and social disparities in health outcomes. 

Research

Current projects and research interests include:

  • Multiple long-term conditions, particularly in relation to metabolic conditions such as diabetes
  • The impact of weight changes, and surgical or medical weight management interventions on chronic disease progression
  • Investigating ethnic and socioeconomic disparities in health outcomes and access to care
  • Utilizing large-scale electronic healthcare records data for retrospective cohort studies
  • Applying machine learning techniques to predict health outcomes and disease trajectories
 

Publications

  • Shabnam, S., Zaccardi, F., Yates, T., Islam, N., et al. (2025). COVID-19 pandemic and risk factor measurement in individuals with cardio-renal-metabolic diseases: A retrospective study in the United Kingdom. PLoS One, 20(4), e0319438.

  • Panchal, K., Lawson, C. A., Shabnam, S., Khunti, K., & Zaccardi, F. (2025). Mortality risk following ischaemic and non-ischaemic heart failure in people with type 2 diabetes: Observational study in England, 2000--2021. Diabetes, Obesity and Metabolism.

  • Cosma, G., Abakasanga, E., Kousovista, R., Shabnam, S., Kaur, N., et al. (2025). Comorbidity Patterns and Temporal Associations of Multiple Long-Term Conditions in Adults with Intellectual Disability: an observational study in the United Kingdom. arXiv Preprint arXiv:2503. 08378.

  • Goldney, J., Barker, M. M., Sargeant, J. A., Daynes, E., Papamargaritis, D., Shabnam, S., et al. (2025). Burden of vascular risk factors by age, sex, ethnicity and deprivation in young adults with and without newly diagnosed type 2 diabetes. Diabetes Research and Clinical Practice, 220, 112002.

  • Panchal, K., Lawson, C., Shabnam, S., Khunti, K., & Zaccardi, F. (2025). Incidence trends in ischaemic and non-ischaemic heart failure in people with and without type 2 diabetes, 2000--2019: An observational study in England. Diabetes Research and Clinical Practice, 220, 111980.

  • Islam, N., Shabnam, S., Khan, N., Gillies, C., Zaccardi, F., Banerjee, A. et al. (2024). Combinations of multiple long term conditions and risk of hospital admission or death during winter 2021-22 in England: population based cohort study. BMJ Medicine, 3(1), e001016.

  • Lo, D., Lawson, C., Gillies, C., Shabnam, S., Gaillard, E., Pinnock, H., & Quint, J. (2024). Socioeconomic deprivation, ethnicity, and health outcomes in preschool children with wheeze in England: a retrospective cohort study. European Respiratory Society.

  • Shabnam, S., Kousovista, R., Abakasanga, E., Kaur, N., Cosma, G., et al. (2024). Data preparation and epidemiological plan - DECODE. https://doi.org/10.17605/OSF.IO/KT5FY

  • Lo, D., Lawson, C., Gillies, C., Shabnam, S., Gaillard, E. A., Pinnock, H., & Quint, J. K. (2024). Association between socioeconomic deprivation, ethnicity and health outcomes in preschool children with recurrent wheeze in England: a retrospective cohort study. Thorax, 79(11), 1050–1059.

  • Razieh, C., Shabnam, S., Dambha-Miller, H., Morris, E. J. A., Yates, T., et al. (2024). Socioeconomic inequalities in risk of infection with SARS-CoV-2 delta and omicron variants in the UK, 2020-22: analysis of the longitudinal COVID-19 Infection Survey. BMJ Medicine, 3(1).

  • Shabnam, S., Abner, S., Gillies, C. L., Davies, M. J., et al. (2024). Effect of delay in treatment intensification in people with type 2 diabetes and suboptimal glycaemia after basal insulin initiation: A real-world observational study. Diabetes, Obesity and Metabolism, 26(2), 512–523.

  • Zaccardi, F., Byrne, K., Khunti, K., Kloecker, D., Reynoso, R., Shabnam, S., et al. (2023). The impact of COVID-19 lockdowns on the body mass index of people living with obesity: A UK retrospective cohort study using the UK Clinical Practice Research Datalink. Obesity Research & Clinical Practice, 17(6), 468–476.

  • Barker, M. M., Davies, M. J., Sargeant, J. A., Chan, J. C. N., Gregg, E. W., Shabnam, S., et al. (2023). Age at type 2 diabetes diagnosis and cause-specific mortality: observational study of primary care patients in England. Diabetes Care, 46(11), 1965–1972.

  • Shabnam, S., Gillies, C. L., Davies, M. J., Dex, T., Melson, E., Khunti, K., et al. (2023). Factors associated with therapeutic inertia in individuals with type 2 diabetes mellitus started on basal insulin. Diabetes Research and Clinical Practice, 203, 110888.

  • Ioannidou, E., Shabnam, S., Abner, S., Kaur, N., Zaccardi, F., et al. (2023). Effect of more versus less intensive blood pressure control on cardiovascular, renal and mortality outcomes in people with type 2 diabetes: A systematic review and meta-analysis. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 17(6), 102782.

  • Shabnam, S., Razieh, C., Dambha-Miller, H., Yates, T., Gillies, C., Chudasama, Y. V., et al. (2023). Socioeconomic inequalities of Long COVID: a retrospective population-based cohort study in the United Kingdom. Journal of the Royal Society of Medicine, 116(8), 263–273.

  • Abner, S., Gillies, C. L., Shabnam, S., Zaccardi, F., Seidu, S., et al. (2022). Consultation rates in people with type 2 diabetes with and without vascular complications: a retrospective analysis of 141,328 adults in England. Cardiovascular Diabetology, 21, 1–11.

  • Levene, L. S., Coles, B. D., Gillies, C. L., Shabnam, S., Zaccardi, F., & Khunti, K. (2022). Predictors of hypertension detection in English general practices: a cross sectional study. Journal of Public Health, 44(1), e1–e9.

  • Islam, N., Lacey, B., Shabnam, S., Erzurumluoglu, A. M., Dambha-Miller, H., et al. (2021). Social inequality and the syndemic of chronic disease and COVID-19: county-level analysis in the USA. J Epidemiol Community Health, 75(6), 496–500.

  • Islam, N., Bukhari, Q., Jameel, Y., Shabnam, S., Erzurumluoglu, A. M., Siddique, et al. (2021). COVID-19 and climatic factors: A global analysis. Environmental Research, 193, 110355.

  • Islam, N., Sharp, S. J., Chowell, G., Shabnam, S., Kawachi, I., Lacey, B., et al. (2020). Physical distancing interventions and incidence of coronavirus disease 2019: natural experiment in 149 countries. BMJ, 370.

  • Islam, N., Shabnam, S., & Erzurumluoglu, A. M. (2020). Temperature, humidity, and wind speed are associated with lower Covid-19 incidence. MedRxiv, 2020–2003.

 

Supervision

Dr Sharmin Shabnam is currently supervising 1 PhD student.

Current PhD students:

  • Bismah Ghafoor (supv.  Sharmin Shabnam, Francesco Zaccardi, Kamlesh Khunti), Predicting diabetes-related complications with machine learning techniques, University of Leicester

Qualifications

Ph.D. in Mechanical Engineering (2020), The Pennsylvania State University.

M.Sc. in Naval Architecture and Marine Engineering (2015), Bangladesh University of Engineering and Technology.

B.Sc. in Naval Architecture and Marine Engineering (2011), Bangladesh University of Engineering and Technology.

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