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Thomas Bolton

Health Data Research UK - BHF Data Science Centre

London

United Kingdom

  • Health Data Research UK - BHF Data Science Centre

SCHOLARLY PAPERS

4

DOWNLOADS

600

TOTAL CITATIONS

0

Scholarly Papers (4)

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1.

Burden of Cardiovascular Diseases from 2020 to 2024: A National Cohort in NHS England

Number of pages: 18 Posted: 04 Apr 2025
Elias Allara, Wen Shi, Thomas Bolton, Fionna Chalmers, Luigi Filippo Brizzi, Liam Musto, Anoop Shah, Christopher Tomlinson, Isabel Walter, Nathalie Conrad, John Danesh, Emanuele Di Angelantonio, Steffen E. Petersen, Kamlesh Khunti, Elena Raffetti, Genevieve Cezard, Spiros Denaxas, Angela Wood and William N. Whiteley
University of Cambridge, University of Cambridge, Health Data Research UK - BHF Data Science Centre, Health Data Research UK, University of Cambridge, University of Leicester, London School of Hygiene & Tropical Medicine - Department of Non-Communicable Disease Epidemiology, University College London - Institute of Health Informatics, University of Cambridge, KU Leuven, University of Cambridge, University of Cambridge, Government of the United Kingdom - Barts Health NHS Trust, University of Leicester, University of Cambridge, University of Cambridge, University College London - Institute of Health Informatics, University of Cambridge and University of Edinburgh
Downloads 180 (420,133)

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2.

Using National Electronic Health Records for Pandemic Preparedness: Validation of a Parsimonious Model for Predicting Excess Deaths Among Those With COVID-19

Downloads 165 (454,356)

Using National Electronic Health Records for Pandemic Preparedness: Validation of a Parsimonious Model for Predicting Excess Deaths Among Those With COVID-19

Number of pages: 19 Posted: 08 Mar 2022
Mehrdad A. Mizani, Ashkan Dashtban, Laura Pasea, Alvina Lai, Johan Hilge Thygesen, Christopher Tomlinson, Alex Handy, Jil Billy Mamza, Tamsin Morris, Sara Khalid, Francesco Zaccardi, Mary J. Macleod, Fatemeh Torabi, Dexter Canoy, Ashley Akbari, Colin Berry, Thomas Bolton, John Nolan, Kamlesh Khunti, Spiros Denaxas, Harry Hemingway, Cathie Sudlow, Amitava Banerjee and CVD-COVID-UK Consortium
University College London - Institute of Health Informatics, University College London - Institute of Health Informatics, University College London - Institute of Health Informatics, University College London - Institute of Health Informatics, University College London - Institute of Health Informatics, University College London - Institute of Health Informatics, University College London - Institute of Health Informatics, BioPharmaceuticals Medical, AstraZeneca - Medical and Scientific Affairs, BioPharmaceuticals Medical, AstraZeneca - Medical and Scientific Affairs, University of Oxford - Rheumatology and Musculoskeletal Sciences, University of Leicester - Leicester Diabetes Centre, University of Aberdeen - Medical Sciences and Nutrition, Swansea University - Population Data Science, University of Oxford - Nuffield Department of Women’s and Reproductive Health, Swansea University - Population Data Science, University of Glasgow - Institute of Cardiovascular and Medical Sciences, Health Data Research UK - BHF Data Science Centre, Health Data Research UK - BHF Data Science Centre, University of Leicester - Leicester Diabetes Centre, University College London - Institute of Health Informatics, University College London - Institute of Health Informatics, Health Data Research UK - BHF Data Science Centre, University College London - Institute of Health Informatics and affiliation not provided to SSRN
Downloads 108 (653,927)

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coronavirus, excess mortality, risk prediction, health policy, pandemic preparedness

Using National Electronic Health Records for Pandemic Preparedness: Validation of a Parsimonious Model for Predicting Excess Deaths Among Those With COVID-19

Number of pages: 20 Posted: 25 Mar 2022
Mehrdad A. Mizani, Muhammad H Dashtban, Laura Pasea, Alvina G Lai, Johan Hilge Thygesen, Christopher Tomlinson, Alex Handy, Jil Billy Mamza, Tamsin Morris, Sara Khalid, Francesco Zaccardi, Mary Joan Macleod, Fatemeh Torabi, Dexter Canoy, Ashley Akbari, Colin Berry, Thomas Bolton, John Nolan, Kamlesh Khunti, Spiros Denaxas, Harry Hemingway, Cathie Sudlow, Amitava Banerjee and CVD-COVID-UK Consortium
University College London - Institute of Health Informatics, University College London - Institute of Health Informatics, University College London - Institute of Health Informatics, University College London - Institute of Health Informatics, University College London - Institute of Health Informatics, University College London - Institute of Health Informatics, University College London - Institute of Health Informatics, BioPharmaceuticals Medical, AstraZeneca - Medical and Scientific Affairs, BioPharmaceuticals Medical, AstraZeneca - Medical and Scientific Affairs, University of Oxford - Rheumatology and Musculoskeletal Sciences, University of Leicester - Leicester Diabetes Centre, University of Aberdeen - Medical Sciences and Nutrition, Swansea University - Population Data Science, University of Oxford - Nuffield Department of Women’s and Reproductive Health, Swansea University - Population Data Science, University of Glasgow - Institute of Cardiovascular and Medical Sciences, Health Data Research UK - BHF Data Science Centre, Health Data Research UK - BHF Data Science Centre, University of Leicester - Leicester Diabetes Centre, University College London - Institute of Health Informatics, University College London - Institute of Health Informatics, Health Data Research UK - BHF Data Science Centre, University College London - Institute of Health Informatics and Independent
Downloads 57 (1,006,630)

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3.

The Impact of the COVID-19 Pandemic on Cardiovascular Risk Factors and Events in England: A Population-Based Cohort Study

Number of pages: 24 Posted: 02 Oct 2024
Benjamin BD Bray, Daniel O'Connell, Danielle E. Robinson, Hannah R. Whittaker, John Nolan, Thomas Bolton, Elizabeth I. Adesanya, Alison Barnett, Amitava Banerjee, Julia A. Critchley, Spiros Denaxas, Kamlesh Khunti, Evan Kontopantelis, Vahe Nafilyan, Tom Porter, Jennifer Quint, Reecha Sofat, Christopher Tomlinson, William N. Whiteley, Alasdair Wood, Angela Wood, Jonathan Pearson-Stuttard, Cathie Sudlow and CVD-COVID-UK Consortium
Lane Clark & Peacock LLP - Health Analytics, British Heart Foundation, Lane Clark & Peacock LLP - Health Analytics, Imperial College London - National Heart and Lung Institute, Health Data Research UK - BHF Data Science Centre, Health Data Research UK - BHF Data Science Centre, Lane Clark & Peacock LLP, Office for Health Improvement and Disparities, University College London - Institute of Health Informatics, University of London - Population Health Research Institute, University College London - Institute of Health Informatics, University of Leicester - Leicester Diabetes Centre, The University of Manchester, Government of the United Kingdom - Health Analysis and Life Events Division, Lane Clark & Peacock LLP, Imperial College London - National Heart and Lung Institute, University of Liverpool - Department of Pharmacology and Therapeutics, University College London - Institute of Health Informatics, University of Edinburgh, Office for Health Improvement and Disparities, University of Cambridge, Lane Clark & Peacock LLP, Health Data Research UK and Independent
Downloads 142 (518,102)

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Cardiovascular, Pandemic, Covid-19, Hypertension, Atrial fibrillation, Stroke, Myocardial infarction

4.

Association of COVID-19 Infection and Vaccination with Adverse Pregnancy Outcomes: A Population-Wide Cohort Study of 865,654 Pregnant Women in England and Wales

Number of pages: 21 Posted: 29 Jan 2024
Elena Raffetti, Thomas Bolton, John Nolan, Luisa Zuccolo, Rachel Denholm, Gordon Smith, Ashley Akbari, Katie Harron, Elias Allara, Gwenetta D. Curry, Deborah A. Lawlor, Massimo Caputo, Hoda Abbasizanjani, Tim Chico and Angela Wood
University of Cambridge, Health Data Research UK - BHF Data Science Centre, Health Data Research UK - BHF Data Science Centre, University of Bristol, University of Bristol, University of Cambridge, Swansea University - Population Data Science, University College London - Great Ormond Street Institute of Child Health, University of Cambridge, Usher Institute, University of Edinburgh, University of Bristol - Department of Population Health Sciences, University of Bristol, Swansea University, University of Sheffield and University of Cambridge
Downloads 113 (626,371)

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pregnancy, COVID-19 infection, vaccination against COVID-19, adverse pregnancy outcomes, gestational diabetes, gestational hypertension, pre-eclampsia, preterm birth, very preterm birth, small for gestational age, thrombotic venous events, stillbirth, population-scale linked electronic health