Dr Florence Tydeman
Knowledge Exchange Associate
Mathematics and Statistics
Personal statement
Dr. Florence Tydeman is a Knowledge Exchange (KE) Associate in the Mathematics and Statistics Department. She began her career in statistics at the University of Strathclyde, where she completed her PhD in Spatial and Spatio-Temporal Modelling of Infectious Diseases, following a BSc in Mathematics and Statistics. Florence then undertook a postdoctoral position at Queen Mary University of London as a Statistician/Epidemiologist with the COVIDENCE UK study team before joining King's College London as a Research Associate in Medical Statistics.
At King's College London, Florence was based in the Unit of Statistics within the Department of Population Health Sciences, with a joint appointment in the Department of Women and Children's Health. She now currently works part-time at the University of Strathclyde, focusing on Knowledge Exchange, and part-time as a Research Associate in Statistics/Epidemiology within Women’s and Children’s Health at King's College London.
Publications
- Healthcare providers' experiences of maternity care service delivery during the COVID-19 pandemic in the United Kingdom : a follow-up systematic review and qualitative evidence synthesis
- , Dasgupta Tisha, Bousfield Emily, Pathak Yosha, Horgan Gillian, Peterson Lili, Mistry Hiten D, Wilson Milly, Hill Meg, Smith Valerie, Boulding Harriet, Sheen Kayleigh S, Van Citters Aricca D, Nelson Eugene C, Duncan Emma L, von Dadelszen Peter, Silverio Sergio A, Magee Laura A, Tydeman Florence
- Frontiers in Global Women's Health Vol 5 (2024)
- https://doi.org/10.3389/fgwh.2024.1470674
- Breastfeeding behaviours in women with obesity; associations with weight retention and the serum metabolome : a secondary analysis of UPBEAT
- , Dalrymple Kathryn V, Briley Annette L, Tydeman Florence AS, Seed Paul T, Singh Claire M, Flynn Angela C, White Sara L, Poston Lucilla, Seed Paul T
- International Journal of Obesity Vol 48, pp. 1472-1480 (2024)
- https://doi.org/10.1038/s41366-024-01576-6
- Multilingual depression detection based on speech signals and deep learning
- Liu Lidan, Tydeman Florence, Xie Wangqing, Wang Yanzhong
- Proceedings - IEEE 10th International Conference on Big Data Computing Service and Applications, BigDataService 2024 10th IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2024, pp. 115-116 (2024)
- https://doi.org/10.1109/BigDataService62917.2024.00024
- Diagnostic accuracy of deep learning using speech samples in depression : a systematic review and meta-analysis
- Liu Lidan, Liu Lu, Wafa Hatem A, Tydeman Florence, Xie Wanqing, Wang Yanzhong
- Journal of the American Medical Informatics Association Vol 31, pp. 2394-2404 (2024)
- https://doi.org/10.1093/jamia/ocae189
- Long COVID demographic and secondary care referral characteristics in primary care : analysis of anonymised primary care data from a multiethnic, deprived urban area in the UK
- Chapman Martin, Durbaba Stevo, Tydeman Florence, Friend Matt, Duly Laura, Moore Julie, Curcin Vasa, Wang Yanzhong, Jolley Caroline J, Kaltsakas Georgios, Chalder Trudie, Hart Nicholas, Ashworth Mark
- npj Primary Care Respiratory Medicine Vol 34 (2024)
- https://doi.org/10.1038/s41533-024-00385-8
- Post-pandemic maternity care planning for vaccination : a qualitative study of the experiences of women, partners, health care professionals, and policy makers in the United Kingdom
- , Dasgupta Tisha, Boulding Harriet, Easter Abigail, Sutedja Tania, Khalil Asma, Mistry Hiten D, Horgan Gillian, Van Citters Aricca D, Nelson Eugene C, von Dadelszen Peter, Duncan Emma L, Silverio Sergio A, Magee Laura A, Tydeman Florence
- Vaccines Vol 12 (2024)
- https://doi.org/10.3390/vaccines12091042
Research Interests
- Medical Statistics
- Epidemiology
- Public Health
Projects
- Scottish Healthcare Associated Infection Prevention Institute (SHAIPI) (SIRN Consortium Mark 2) | Tydeman, Florence
- Robertson, Chris (Principal Investigator) Kavanagh, Kimberley (Co-investigator) Tydeman, Florence (Research Co-investigator)
- 01-Jan-2017 - 31-Jan-2022
Contact
Dr
Florence
Tydeman
Knowledge Exchange Associate
Mathematics and Statistics
Email: f.tydeman@strath.ac.uk
Tel: 548 3599