Professional background

Amitava Banerjee is professor in clinical data science at University College London, and honorary consultant cardiologist at University College London Hospitals and Barts Health NHS Trusts. He is a researcher, educator and clinician with interests spanning data science, cardiovascular disease, global health, training and evidence-based healthcare, and more recently risk associated with underlying chronic diseases and long COVID during the COVID-19 pandemic.

After qualifying from Oxford Medical School, he trained as a junior doctor in Oxford, Newcastle, Hull and London. His interest in preventive cardiology and evidence-based medicine led to a masters in public health at Harvard(2004/05), an internship at the World Health Organisation(2005) and DPhil in epidemiology from Oxford(2010). He was clinical lecturer in cardiovascular medicine at the University of Birmingham, before moving to UCL in 2015.

He works across two busy tertiary care settings with both inpatient and outpatient commitments. Although he is subspecialised in heart failure, he has ongoing practice in acute general cardiology and a keen interest in the diagnosis and management of atrial fibrillation. His clinical work very much informs his research and vice versa, whether in the evaluation of medical technology, study of cardiovascular disease in under-served populations, disease phenotypes in electronic health records or now COVID-19.”

Research interests

  • Cardiovascular effects of COVID-19
  • Cardiovascular and non-communicable disease epidemiology
  • Cardiovascular informatics
  • Cardiovascular and non-communicable disease prevention
  • Cardiovascular global health

Publications

Selected publications:

Banerjee A, Pasea L, Manohar S, Lai AG, Hemingway E, Sofer I, Katsoulis M, Sood H, Morris A, Cake C, Fitzpatrick NK, Williams B, Denaxas S, Hemingway H; and members of the Health Data Research UK COVID-19 Patient and Public Involvement and Engagement Panel. 'What is the risk to me from COVID-19?': Public involvement in providing mortality risk information for people with 'high-risk' conditions for COVID-19 (OurRisk.CoV). Clin Med (Lond). 2021 Nov;21(6):e620-e628.

Davidson JA, Banerjee A, Smeeth L, McDonald HI, Grint D, Herrett E, Forbes H, Pebody R, Warren-Gash C. Risk of acute respiratory infection and acute cardiovascular events following acute respiratory infection among adults with increased cardiovascular risk in England between 2008 and 2018: a retrospective, population-based cohort study. Lancet Digit Health. 2021 Dec;3(12):e773-e783.

Banerjee A, Pasea L, Chung SC, Direk K, Asselbergs F, Grobbee DE, Kotecha D, Anker SD, Dyszynski T, Tyl B, Denaxas S, Lumbers RT, Hemingway H. A population-based study of 92 clinically recognised risk factors for heart failure: co-occurrence, prognosis and preventive potential. Eur J Heart Fail. 2021 Dec 30. doi: 10.1002/ejhf.2417. Online ahead of print.

Ayoubkhani D, Khunti K, Nafilyan V, Maddox T, Humberstone B, Diamond I, Banerjee A. Post-covid syndrome in individuals admitted to hospital with covid-19: retrospective cohort study. BMJ. 2021 Mar 31;372:n693.

Dennis A, Wamil M, Alberts J, Oben J, Cuthbertson DJ, Wootton D, Crooks M, Gabbay M, Brady M, Hishmeh L, Attree E, Heightman M, Banerjee R, Banerjee A; COVERSCAN study investigators. Multiorgan impairment in low-risk individuals with post-COVID-19 syndrome: a prospective, community-based study. BMJ Open. 2021 Mar 30;11(3):e048391.

Banerjee A, Chen S, Pasea L, Lai A, Katsoulis M, Denaxas S, Nafilyan V, Williams B, Wong WK, Bakhai A, Khunti K, Pillay D, Noursadeghi M, Wu H, Pareek N, Bromage D, Mcdonagh T, Byrne J, Teo JT,  Shah A, Humberstone B, Tang LV, Shah ASV, Rubboli A, Guo Y, Hu Y, Sudlow CLM, Lip GYH, Hemingway H. Excess deaths in people with cardiovascular diseases during the COVID-19 pandemic. 2021. Eur J Pr Card. Feb 21;zwaa155.

Clark A, Jit M, Warren-Gash C, Guthrie B, Wang HHX, Mercer SW, Sanderson C, McKee M, Troeger C, Ong KL, Checchi F, Perel P, Joseph S, Gibbs HP, Banerjee A, Eggo RM; Centre for the Mathematical Modelling of Infectious Diseases COVID-19 working group. Global, regional, and national estimates of the population at increased risk of severe COVID-19 due to underlying health conditions in 2020: a modelling study. Lancet Glob Health. 2020 Aug;8(8):e1003-e1017.

CVD-COVID-UK Consortium: Banerjee A, Ball S, Berry C, Boyle J, Bray B, Bradlow W, Chaudhry A, Crawley R, Danesh J, Denniston A, Falter F, Figueroa J, Hall C, Hemingway H, Jefferson E, Johnson T, King G, Lee K, McKean P, Mason S, Mills N, Pearson E, Pirmohamed M, Poon MTC, Priedon R, Shah A, Sofat R, Sterne J, Strachan F, Sudlow CLM, Szarka Z, Whiteley W, Wyatt M. The 4C Initiative (Clinical Care for Cardiovascular disease in the COVID-19 pandemic): monitoring the indirect impact of the coronavirus pandemic on services for cardiovascular diseases in the UK. Heart. 2020. Oct 5:heartjnl-2020-317870.

Banerjee A, Pasea L, Harris S, Gonzalez-Izquierdo A, Torralbo A, Shallcross L, Noursadeghi M, Pillay D, Sebire N, Holmes C, Pagel C, Wong WK, Langenberg C, Williams B, Denaxas S, Hemingway H. Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study. Lancet. 2020 May 30;395(10238):1715-1725. doi: 10.1016/S0140-6736(20)30854-0. Epub 2020 May 12. PMID: 32405103.

Nanjo A, Evans H, Direk K, Hayward A, Story A, Banerjee A. Prevalence, incidence, and outcomes across cardiovascular diseases in homeless individuals using national linked electronic health records. Eur Heart J. 2020. Nov 1;41(41):4011-4020.