Ashley Akbari

Swansea University - Population Data Science

SCHOLARLY PAPERS

9

DOWNLOADS

808

TOTAL CITATIONS

2

Scholarly Papers (9)

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1.

Impact of Socioeconomic Conditions and Perinatal Factors on Risk of Becoming a Child Looked after: A Whole Population Cohort Study Using Routinely Collected Data in Wales

Number of pages: 24 Posted: 27 Feb 2023
Gabriella Melis, Stuart Bedston, Ashley Akbari, Davara L. Bennett, Alex Lee, Emily Lowthian, Daniela K. Schlüter and David C. Taylor-Robinson
NHS England and NHS Improvement, Swansea University - Population Data Science, Swansea University - Population Data Science, University of Liverpool - Department of Public Health, Policy and Systems, Swansea University - Population Data Science, Swansea University - Department of Education and Childhood Studies, University of Liverpool - Department of Public Health, Policy and Systems and University of Liverpool - Department of Public Health, Policy and Systems
Downloads 152 (403,213)

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Children looked-after, Children in care, Out-of-home care, Survival models

2.

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 138 (435,587)
Citation 1

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Sodium valproate, epilepsy, pregnancy, electronic health records

3.

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

Downloads 129 (459,669)

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 87 (614,288)

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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 42 (891,385)

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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 107 (529,418)

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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

5.

Clustering Long-Term Health Conditions Among 67728 People with Multimorbidity Using Electronic Health Records in Scotland

Number of pages: 18 Posted: 27 Dec 2022
Adeniyi Fagbamigbe, Utkarsh Agrawal, Amaya Azcoaga-Lorenzo, Briana MacKerron, Eda Özyiğit, Daniel C. Alexander, Ashley Akbari, Rhiannon K. Owen, Jane Lyons, Ronan A. Lyons, Spiros Denaxas, Paul Kirk, Ana Corina Miller, Gill Harper, Carol Dezateux, Brookes Anthony, Sylvia Richardson, Krishnarajah Nirantharakumar, Bruce Guthrie, Lloyd Hughes, Umesh Kadam, Kamlesh Khunti, Keith Abrams and Colin McCowan
University of St. Andrews - School of Medicine, University of Oxford - Nuffield Department of Primary Care Health Sciences, University of St. Andrews - School of Medicine, University of St. Andrews - School of Medicine, University College London - Department of Computer Science, University College London - Department of Computer Science, Swansea University - Population Data Science, Swansea University - Population Data Science, Swansea University - Population Data Science, Swansea University - Population Data Science, University College London - Institute of Health Informatics, University of Cambridge - MRC Biostatistics Unit, Queen's University Belfast - Centre for Public Health, Queen Mary University of London - Wolfson Institute of Population Health, Queen Mary University of London - Wolfson Institute of Population Health, University of Leicester - Department of Genetics & Genome Biology, University of Cambridge - MRC Biostatistics Unit, University of Birmingham - Institute of Applied Health Research, University of Edinburgh - Advanced Care Research Centre, University of St. Andrews - School of Medicine, University of Leicester - Department of Population Health Sciences, University of Leicester - Leicester Diabetes Centre, University of Warwick - Department of Statistics and University of St. Andrews - School of Medicine
Downloads 77 (651,155)

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Cluster of conditions, multimorbidity, Elixhauser comorbidity index, electronic health records

6.

Understanding the Quality of Ethnicity Data Recorded in Health-Related Administrative Data Sources Compared with Census 2021 in England

Number of pages: 29 Posted: 01 Apr 2024
Cameron Razieh, Bethan Powell, Rosemary Drummond, Isobel Ward, Jasper Morgan, Myer Glickman, Chris White, Francesco Zaccardi, Jonathan Hope, Veena Raleigh, Ashley Akbari, Nazrul Islam, Thomas Yates, Lisa Murphy, Bilal Mateen, Kamlesh Khunti and Vahe Nafilyan
University of Leicester, Government of the United Kingdom - Office for National Statistics, Government of the United Kingdom - Office for National Statistics, Government of the United Kingdom - Office for National Statistics, Government of the United Kingdom - Health Analysis and Life Events Division, Government of the United Kingdom - Office for National Statistics, Government of the United Kingdom - Office for National Statistics, University of Leicester, NHS England and NHS Improvement, King's Fund, Swansea University - Population Data Science, University of Southampton, University of Leicester, Wellcome Trust, PATH, University of Leicester - Leicester Diabetes Centre and Government of the United Kingdom - Health Analysis and Life Events Division
Downloads 65 (712,407)
Citation 1

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Ethnicity, coding, electronic health records, administrative data, data quality

7.

What Were the Effects of the UK's COVID-19 Public Health Policy 'Shielding'? Results of Linked Data Matched Cohort Study

Number of pages: 29 Posted: 19 Jun 2024
Helen Snooks, Ashley Akbari, Andrew Carson-Stevens, Jeremy Dale, Lucy Dixon, Adrian Edwards, Helena Emery, Lesley Griffiths, Ann John, Gareth John, Stephen Jolles, Jane Lyons, Ronan A. Lyons, Mark Rhys Kingston, Rakshita Parab, Alison Porter, Bernadette Sewell and Alan Watkins
Swansea University, Swansea University - Population Data Science, Cardiff University - Centre for Trials Research, University of Warwick, Swansea University, Cardiff University, Swansea University, Swansea University, Swansea University - Population Data Science, Digital Health and Care Wales, Cardiff University, Swansea University - Population Data Science, Swansea University - Population Data Science, Swansea University, UK Health Security Agency, Swansea University, Swansea University and Swansea University
Downloads 60 (741,068)

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COVID-19, Pandemic, Shielding, Routine Linked Data, Self-Reported Outcomes

8.

Representing Multimorbid Disease Progressions Using Directed Hypergraphs

Number of pages: 28 Posted: 14 Nov 2023
Jamie Burke, Rowena Bailey, Ashley Akbari, Kevin Fasusi, Ronan A. Lyons, Jonathan Pearson, James Rafferty and Daniel Schofield
University of Edinburgh, Swansea University, Swansea University - Population Data Science, NHS England and NHS Improvement, Swansea University - Population Data Science, NHS England and NHS Improvement, Swansea University and NHS England and NHS Improvement
Downloads 43 (861,175)

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Population Health, SAIL Databank, Multimorbidity, Disease Progression, Directed Hypergraphs, PageRank Centrality

9.

Dimensions of Equality in Uptake of Covid-19 Vaccination in Wales, UK: A Multivariable Linked-Data Population Analysis

Number of pages: 33 Posted: 17 Aug 2023
Gethin Jones, Malorie Perry, Rowena Bailey, Sudha Arumugam, Adrian Edwards, Alex Lench, Alison Cooper, Ashley Akbari, Brendan Collins, Caroline Harris, Gill Richardson, Mai Barry, Phillippa Harris, Richard Fry, Ronan A. Lyons and Simon Cottrell
Public Health Wales, Government of the United Kingdom - Vaccine Preventable Disease Programme, Swansea University, Swansea University, Cardiff University, Government of the United Kingdom - Vaccine Preventable Disease Programme, Cardiff University, Swansea University - Population Data Science, Welsh Government, Government of the United Kingdom - Vaccine Preventable Disease Programme, Welsh Government, Government of the United Kingdom - Vaccine Preventable Disease Programme, Government of the United Kingdom - Vaccine Preventable Disease Programme, Swansea University - Swansea University Medical School, Swansea University - Population Data Science and Government of the United Kingdom - Vaccine Preventable Disease Programme
Downloads 37 (913,696)

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Immunisation Equity, COVID-19 Vaccines, Vaccination, Immunisation, Socioeconomic Factors, Under-Served Groups, Ethnic Groups