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Francesco Zaccardi

University of Leicester - Leicester Diabetes Centre

Leicester

United Kingdom

  • University of Leicester - Leicester Diabetes Centre

SCHOLARLY PAPERS

2

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381

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0

Scholarly Papers (2)

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1.

Age at Type 2 Diabetes Diagnosis and Risk of Cancer: Cohort Study in Over 1 Million Individuals from the TriNetX US Collaborative Network

Number of pages: 28 Posted: 22 May 2024
Tommy Slater, Gema Hernández Ibarburu, Zuzanna Drebert, Joseph Henson, Francesco Zaccardi, Jack A. Sargeant, Karen Brown, David R. Webb, Dimitris Papamargaritis, Juliana C. N. Chan, Edward W. Gregg, Kamlesh Khunti, Melanie J. Davies and Tom Yates
University of Leicester, National Institute for Health Research (NIHR) - Leicester Biomedical Research Centre (BRC), National Institute for Health Research (NIHR) - Leicester Biomedical Research Centre (BRC), University of Leicester, University of Leicester - Leicester Diabetes Centre, University of Leicester - NIHR Leicester Biomedical Research Centre, University of Leicester, University of Leicester, University of Leicester, The Chinese University of Hong Kong (CUHK) - Department of Medicine and Therapeutics, Imperial College London - School of Public Health, University of Leicester - Leicester Diabetes Centre, University of Leicester - Leicester Diabetes Centre and University of Leicester
Downloads 214 (356,192)

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Diabetes, epidemiology, early-onset type 2 diabetes, cancer

2.

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

Downloads 167 (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 109 (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 58 (1,006,630)

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