Data Science Building External Facade Up

Dr Daniel Thompson

Research Officer and Data Scientist, Medicine

+44 (0) 1792 606292

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Research Links

https://orcid.org/0000-0002-1769-2870

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About

Dr Daniel Thompson is a Data Scientist and Research Officer in the field of environmental health.

Daniel completed a PhD in Engineering focusing on Computational Fluid Dynamic modelling in the coastal environment. Following his PhD, Daniel worked in industry CFD modelling and tackling big data for an international consultancy.

With research interests in analytical methods and the environment, he is currently working on an NIHR-funded project investigating the links between green-blue spaces (such as beaches and parks) and individual-level health and wellbeing.

Areas Of Expertise

Data science
Environmental health
Coastal Engineering
Computational Fluid Dynamics
Computational modelling in the coastal environment

Publications

Research Highlights

Thompson, D., Karunarathna, H., Reeve, D., & Thompson, D. (2016). Comparison between wave generation methods for numerical simulation of bimodal seas. Water Science and Engineering, 9(1), 3-13.
https://doi.org/10.1016/j.wse.2016.02.005, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53707
Fry, R., Hollinghurst, J., Stagg, H., Thompson, D., Fronterre, C., Orton, C., Lyons, R., Ford, D., Sheikh, A., & Diggle, P. (2021). Real-time spatial health surveillance: Mapping the UK COVID-19 epidemic. International Journal of Medical Informatics, 149, 104400
https://doi.org/10.1016/j.ijmedinf.2021.104400, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55271
Lyons, J., Akbari, A., Torabi, F., Davies, G., North, L., Griffiths, R., Bailey, R., Hollinghurst, J., Fry, R., Turner, S., Thompson, D., Rafferty, J., Mizen, A., Orton, C., Ellwood-Thompson, S., Au-Yeung, L., Cross, L., Gravenor, M., Brophy, S...., & Lyons, R. (2020). Understanding and responding to COVID-19 in Wales: protocol for a privacy-protecting data platform for enhanced epidemiology and evaluation of interventions. BMJ Open, 10(10), e043010
https://doi.org/10.1136/bmjopen-2020-043010, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55501
Rodgers, S., Rowney, F., Thompson, D., Mizen, A., White, M., Lovell, R., Fry, R., Watkins, A., Wheeler, B., Akbari, A., Stratton, G., Lyons, R., White, R., Nieuwenhuijsen, M., Geary, R., & Rodgers, S. (2020). Is Wellbeing Associated with Time Spent in Nature?. In International Journal of Population Data ScienceSwansea University.
https://doi.org/10.23889/ijpds.v5i5.1619, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55874
Johnson, R., Griffiths, L., Hollinghurst, J., Akbari, A., Lee, A., Thompson, D., Lyons, R., & Fry, R. (n.d.) Deriving household composition using population-scale Electronic Health Record data – a reproducible methodology. SocArXiv Papers
https://doi.org/10.31235/osf.io/kctnz, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56152
Thompson, D., Nieuwenhuijsen, M., White, J., Lovell, R., White, M., Lyons, R., Stratton, G., Akbari, A., Geary, R., Wheeler, B., Watkins, A., Fry, R., Rowney, F., Mizen, A., Rodgers, S., Thompson, D., Lyons, R., Akbari, A., Watkins, A...., & Mizen, A. (2020). Green-Blue Spaces and Mental Health: A Longitudinal Data Linkage Study. In International Journal of Population Data ScienceSwansea University.
https://doi.org/10.23889/ijpds.v5i5.1616, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56153
Thompson, D., Abbasizanjani, H., Fry, R., Marchant, E., Griffiths, L., Akbari, A., Hollinghurst, J., North, L., Lyons, J., Torabi, F., Davies, G., Gravenor, M., & Lyons, R. (2021). Staff-Pupil SARS-CoV-2 Infection Pathways in Schools: A Population Level Linked Data Approach. medRxiv
https://doi.org/10.1101/2021.02.04.21251087, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56212

All Research

Journal Articles

Fry, R., Hollinghurst, J., Stagg, H., Thompson, D., Fronterre, C., Orton, C., Lyons, R., Ford, D., Sheikh, A., & Diggle, P. (2021). Real-time spatial health surveillance: Mapping the UK COVID-19 epidemic. International Journal of Medical Informatics, 149, 104400
https://doi.org/10.1016/j.ijmedinf.2021.104400, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55271
Thompson, D., Abbasizanjani, H., Fry, R., Marchant, E., Griffiths, L., Akbari, A., Hollinghurst, J., North, L., Lyons, J., Torabi, F., Davies, G., Gravenor, M., & Lyons, R. (2021). Staff-Pupil SARS-CoV-2 Infection Pathways in Schools: A Population Level Linked Data Approach. medRxiv
https://doi.org/10.1101/2021.02.04.21251087, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56212
Lyons, J., Akbari, A., Torabi, F., Davies, G., North, L., Griffiths, R., Bailey, R., Hollinghurst, J., Fry, R., Turner, S., Thompson, D., Rafferty, J., Mizen, A., Orton, C., Ellwood-Thompson, S., Au-Yeung, L., Cross, L., Gravenor, M., Brophy, S...., & Lyons, R. (2020). Understanding and responding to COVID-19 in Wales: protocol for a privacy-protecting data platform for enhanced epidemiology and evaluation of interventions. BMJ Open, 10(10), e043010
https://doi.org/10.1136/bmjopen-2020-043010, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55501
Thompson, D., Karunarathna, H., Reeve, D., & Thompson, D. (2016). Comparison between wave generation methods for numerical simulation of bimodal seas. Water Science and Engineering, 9(1), 3-13.
https://doi.org/10.1016/j.wse.2016.02.005, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53707
Johnson, R., Griffiths, L., Hollinghurst, J., Akbari, A., Lee, A., Thompson, D., Lyons, R., & Fry, R. (n.d.) Deriving household composition using population-scale Electronic Health Record data – a reproducible methodology. SocArXiv Papers
https://doi.org/10.31235/osf.io/kctnz, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56152

Conference Contributions

Rodgers, S., Rowney, F., Thompson, D., Mizen, A., White, M., Lovell, R., Fry, R., Watkins, A., Wheeler, B., Akbari, A., Stratton, G., Lyons, R., White, R., Nieuwenhuijsen, M., Geary, R., & Rodgers, S. (2020). Is Wellbeing Associated with Time Spent in Nature?. In International Journal of Population Data ScienceSwansea University.
https://doi.org/10.23889/ijpds.v5i5.1619, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55874
Thompson, D., Nieuwenhuijsen, M., White, J., Lovell, R., White, M., Lyons, R., Stratton, G., Akbari, A., Geary, R., Wheeler, B., Watkins, A., Fry, R., Rowney, F., Mizen, A., Rodgers, S., Thompson, D., Lyons, R., Akbari, A., Watkins, A...., & Mizen, A. (2020). Green-Blue Spaces and Mental Health: A Longitudinal Data Linkage Study. In International Journal of Population Data ScienceSwansea University.
https://doi.org/10.23889/ijpds.v5i5.1616, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56153

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