Mr Daniel King

Honorary Appointment (Medicine, Health and Life Science)

Faculty of Medicine Health and Life Science

d.t.king@abertawe.ac.uk

Dolenni Ymchwil

ResearchGate

Google Scholar

ResearcherID

Trosolwg

Swyddog Ymchwil a Gwyddonydd Data yw Daniel yn y tîm Gwyddor Data Poblogaethau ym Mhrifysgol Abertawe. Yn gweithio gyda Chronfa ddata Cyswllt Gwybodaeth Ddienw Diogel (SAIL) i wella ein dealltwriaeth, a mwyafu rheoli ffactorau risg clefyd cardiofasgwlaidd.

Meysydd Arbenigedd

Gwyddor Data Poblogaethau
Epidemioleg
Dysgu Peirianyddol
Modelu a Delweddu Data

Cyhoeddiadau

Uchafbwyntiau Ymchwil

Holl Ymchwil

Erthyglau Cylchgronau

King, D., Ellins, L., Evans, H., Evans, N., Gravenor, M., Halcox, J., Hewitt, J., Krishnan, M., McDonnell, B., Stone, K., Harris, D., & Akbari, A. (2026). Cohort profile: Creation of an E-cohort to Address the Evaluation of Population Secondary Prevention Quality and Outcomes Post-Stroke (ESP-QOPS) in Wales. International Journal of Population Data Science, 11(1)
https://doi.org/10.23889/ijpds.v11i1.3113, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa71803
King, D., Akbari, A., Gravenor, M., Lawrence, M., Weston, C., Rice, S., Hopkins, C., Phillips, L., Halcox, J., & Harris, D. (2025). Management of atherosclerotic cardiovascular disease risk in diabetes mellitus patients: a population-level observational cohort study in Wales. European Heart Journal Open, 5(6), oeaf158
https://doi.org/10.1093/ehjopen/oeaf158, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa71038
King, D., Harris, D., Akbari, A., Gravenor, M., & Halcox, J. (2025). Abstract 4365798: Gaps In Risk Factor Management Prior To Major Adverse Events As First Presentation Of Atherosclerotic Cardiovascular Disease. Circulation, 152(Suppl_3)
https://doi.org/10.1161/circ.152.suppl_3.4365798, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa70915
King, D., Harris, D., Akbari, A., Gravenor, M., & Halcox, J. (2024). Abstract 4139823: Decline In Treatment, Testing and Control of Lipids Amongst Diabetic Patients, a Population-Level Analysis. Circulation, 150(Suppl_1)
https://doi.org/10.1161/circ.150.suppl_1.4139823, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa68428
Harris, D., King, D., Akbari, A., Gravenor, M., Lawrence, M., Weston, C., Hopkins, C., Phillips, L., & Halcox, J. (2024). Trends in atherosclerotic cardiovascular disease and lipid management: a population-level observational cohort study in Wales. European Journal of Preventive Cardiology, 31(15), 1778-1789.
https://doi.org/10.1093/eurjpc/zwae233, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67165
King, D., Burnie, L., Nagahara, R., & Bezodis, N. (2022). Relationships between kinematic characteristics and ratio of forces during initial sprint acceleration. Journal of Sports Sciences, 40(22), 2524-2532.
https://doi.org/10.1080/02640414.2023.2172797, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62380
http://dx.doi.org/10.1080/02640414.2023.2172797

Cyfraniadau Cynadleddau

King, D., Harris, D., Akbari, A., Gravenor, M., & Halcox, J. (2025). Abstract 4365845: Low Rates Of Escalation Of Lipid Lowering Therapy Amongst Atherosclerotic Cardiovascular Disease Patients With Uncontrolled LDL-C. In CirculationLippincott Williams & Wilkins.
https://doi.org/10.1161/circ.152.suppl_3.4365845, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa70916

Modiwlau a Addysgir

PMIM302 Introductory Analysis of Linked Health Data

This module introduces the topic of linked health data analysis at an introductory to intermediate level. It fills a gap in research training opportunities by combining the principles of health care epidemiology with hands-on practical exercises in the implementation of computing solutions. The module provides students with a theoretical grounding in the classroom on each topic, followed by a training session on the corresponding computing solutions. Students use anonymised linked health data files in the hands-on exercises. The computing component of the module assumes a basic familiarity with computing syntax used in programs such as SPSS and/or R and methods of basic statistical analysis.