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Christopher Tomlinson

University College London - Institute of Health Informatics

United Kingdom

  • University College London - Institute of Health Informatics

SCHOLARLY PAPERS

8

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2,355

TOTAL CITATIONS

9

Scholarly Papers (8)

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1.

Healthcare Utilisation of 282,080 Individuals with Long COVID Over Two Years: A Multiple Matched Control Cohort Analysis

Number of pages: 29 Posted: 19 Oct 2023
Yi Mu, Ashkan Dashtban, Mehrdad A. Mizani, Christopher Tomlinson, Mohamed Mohamed, Mark Ashworth, Mamas Mamas, Rouven Priedon, Steffen E. Petersen, Evan Kontopantelis, Christina Pagel, Mevhibe Hocaoglu, Kamlesh Khunti, Johan Hilge Thygesen, Paula Lorgelly, Manuel Gomes, Melissa Heightman, Amitava Banerjee and Richard Williams
University College London, University College London - Institute of Health Informatics, University College London - Institute of Health Informatics, University College London - Institute of Health Informatics, University College London, King’s College London - ESRC Centre for Society and Mental Health, Keele University - Research Institute for Primary Care and Health Sciences, Health Data Research UK, Government of the United Kingdom - Barts Health NHS Trust, The University of Manchester, University College London, University of London, Kings College London, African Leadership Centre, Students, University of Leicester - Leicester Diabetes Centre, University College London - Institute of Health Informatics, University of Auckland, University College London, University College London - University College London Hospitals NHS Foundation Trust, University College London - Institute of Health Informatics and University College London
Downloads 1,280 (39,698)
Citation 7

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Long COVID, COVID, healthcare utilisation, cost, health policy

2.

A Computational Framework for Defining and Validating Reproducible Phenotyping Algorithms of 313 Diseases in the UK Biobank

Number of pages: 404 Posted: 25 Sep 2024
Ana Torralbo, Jonathan M. Davitte, Damien C. Croteau-Chonka, Cai R. Ytsma, Christopher Tomlinson, Natalie Fitzpatrick, Sheng-Chia Chung, Ghazaleh Fatemifar, Adrian S. Cortes, Tom G. Richardson, Matthew Barclay, Julia Carrasco Zanini Sanchez, Chris Finan, Harry Hemingway, Aroon D. Hingorani, Valerie Kuan Po Ai, Claudia Langenberg, Georgios Lyratzopoulos, Tom Lumbers, Maik Pietzner, Anoop Dinesh Shah, Johan Hilge Thygesen, Natalie Zelenka, John C. Whittaker, Margaret G. Ehm and Spiros Denaxas
University College London - Institute of Health Informatics, GlaxoSmithKline, GlaxoSmithKline, 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, GlaxoSmithKline, GlaxoSmithKline, University College London, Queen Mary University of London, University College London, University College London - Institute of Health Informatics, Institute of Cancer Research (ICR) - Division of Genetics and Epidemiology, University College London - Institute of Health Informatics, Queen Mary University of London, University College London, University College London - Institute of Health Informatics, Queen Mary University of London, University College London - Institute of Health Informatics, University College London - Institute of Health Informatics, University College London - Institute of Health Informatics, GlaxoSmithKline, GlaxoSmithKline and University College London - Institute of Health Informatics
Downloads 238 (320,573)

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electronic health records, phenotyping, genomics, biomedical data

3.

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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4.

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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5.

Use of Sodium Valproate and Other Anti-Seizure Medications in England and Wales During the COVID-19 Pandemic: A Population-Level Analysis of 60 Million Individuals

Number of pages: 56 Posted: 23 Aug 2023
Caroline Dale, Rohan Takhar, Yat Yi Fan, Fatemeh Torabi, Samuel Kim, Andrew Lambarth, Ravi Shankar, Christopher Tomlinson, Tim Wilkinson, Tanja Mueller, Amanj Kurdi, Mark Ashworth, Mamas Mamas, Kamlesh Khunti, Ashley Akbari, Andrew Morris, Munir Pirmohamed, Anthony Marson, David Williams, Cathie Sudlow, Reecha Sofat and CVD-COVID-UK Consortium
University College London - Institute of Health Informatics, University of Liverpool, University of Liverpool, Swansea University - Population Data Science, Government of the United Kingdom - Royal Free London NHS Foundation Trust, University College London - University College London Hospitals NHS Foundation Trust, University College London, University College London - Institute of Health Informatics, University of Edinburgh, University of Strathclyde, University of Strathclyde - Strathclyde Institute of Pharmacy and Biomedical Science, King’s College London - ESRC Centre for Society and Mental Health, Keele University - Research Institute for Primary Care and Health Sciences, University of Leicester - Leicester Diabetes Centre, Swansea University - Population Data Science, University of Edinburgh - Edinburgh Medical School, University of Liverpool, The Walton Centre NHS Foundation Trust, affiliation not provided to SSRN, Health Data Research UK, University of Liverpool - Department of Pharmacology and Therapeutics and Independent
Downloads 145 (508,926)
Citation 1

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Sodium valproate, epilepsy, pregnancy, electronic health records

6.

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

7.

Association of COVID-19 and Influenza Vaccinations and Cardiovascular Pharmacotherapy with Hospitalisation and Mortality in People with COVID-19 and Long COVID: 2-Year Follow-Up of Over 17 Million People in England

Number of pages: 33 Posted: 14 Nov 2023
Ashkan Dashtban, Mehrdad A. Mizani, Laura Pasea, Christopher Tomlinson, Yi Mu, Nazrul Islam, Sarah Rafferty, Charlotte Warren-Gash, Spiros Denaxas, Kim Horstmanshof, Evan Kontopantelis, Steffen E. Petersen, Cathie Sudlow, Kamlesh Khunti, 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, University of Southampton, Government of the United Kingdom - Office for National Statistics, London School of Hygiene & Tropical Medicine - Faculty of Epidemiology and Population Health, University College London - Institute of Health Informatics, University College London, The University of Manchester, Government of the United Kingdom - Barts Health NHS Trust, Health Data Research UK, University of Leicester - Leicester Diabetes Centre, University College London - Institute of Health Informatics and Independent
Downloads 110 (640,165)

Abstract:

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COVID-19, Long COVID, cardiovascular disease, vaccination, high-risk

8.

The Impact of the COVID-19 Pandemic on the Measurement of Routine Cardiometabolic Disease Risk Factors in Primary Care in the Population of England (57 Million People)

Number of pages: 20 Posted: 01 Dec 2023
Frederick Ho, Caroline Dale, Ewan Pearson, Jonathan Valabhji, Christian Delles, Paul Welsh, Shinya Nakada, Daniel Mackay, Jill Pell, Christopher Tomlinson, Steffen E. Petersen, Benjamin BD Bray, Mark Ashworth, Kazem Rahimi, Mamas Mamas, Julian Halcox, Cathie Sudlow, Reecha Sofat, Naveed Sattar and CVD-COVID-UK Consortium
University of Glasgow - Institute of Health and Wellbeing, University College London - Institute of Health Informatics, Health Data Research UK, Imperial College London, University of Glasgow, University of Glasgow - Institute of Cardiovascular and Medical Sciences, University of Glasgow, University of Glasgow, University of Glasgow - Institute of Health and Wellbeing, University College London - Institute of Health Informatics, Government of the United Kingdom - Barts Health NHS Trust, Lane Clark & Peacock LLP - Health Analytics, King’s College London - ESRC Centre for Society and Mental Health, Deep Medicine, NDWRH, University of Oxford, Keele University, Swansea University, Health Data Research UK, University of Liverpool - Department of Pharmacology and Therapeutics, University of Glasgow - Institute of Cardiovascular and Medical Sciences and Independent
Downloads 95 (715,072)
Citation 1

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public health, primary care, risk factor, Covid-19