| Population risk factors for severe disease and mortality in COVID-19: A global systematic review and meta-analysis A Booth, AB Reed, S Ponzo, A Yassaee, M Aral, D Plans, A Labrique, ... PloS one 16 (3), e0247461, 2021 | 488 | 2021 |
| The efficacy of functional gait training in children and young adults with cerebral palsy: a systematic review and meta‐analysis ATC Booth, AI Buizer, P Meyns, ILB Oude Lansink, F Steenbrink, ... Developmental Medicine & Child Neurology 60 (9), 866-883, 2018 | 200 | 2018 |
| Real-time feedback to improve gait in children with cerebral palsy L van Gelder, ATC Booth, I van de Port, AI Buizer, J Harlaar, ... Gait & posture 52, 76-82, 2017 | 60 | 2017 |
| Immediate effects of immersive biofeedback on gait in children with cerebral palsy AT Booth, AI Buizer, J Harlaar, F Steenbrink, MM van der Krogt Archives of Physical Medicine and Rehabilitation 100 (4), 598-605, 2019 | 50 | 2019 |
| Muscle synergies in response to biofeedback-driven gait adaptations in children with cerebral palsy ATC Booth, MM van der Krogt, J Harlaar, N Dominici, AI Buizer Frontiers in physiology 10, 437973, 2019 | 38 | 2019 |
| Machine learning approach to dynamic risk modeling of mortality in COVID-19: A UK Biobank study MA Dabbah, AB Reed, ATC Booth, A Yassaee, A Despotovic, B Klasmer, ... Scientific reports 11 (1), 16936, 2021 | 23 | 2021 |
| How normal is normal: Consequences of stride to stride variability, treadmill walking and age when using normative paediatric gait data LM Oudenhoven, ATC Booth, AI Buizer, J Harlaar, MM van der Krogt Gait & Posture 70, 289-297, 2019 | 23 | 2019 |
| The validity and usability of an eight marker model for avatar-based biofeedback gait training ATC Booth, MM van der Krogt, AI Buizer, F Steenbrink, J Harlaar Clinical Biomechanics 70, 146-152, 2019 | 14 | 2019 |
| Development of a dynamic type 2 diabetes risk prediction tool: a uk biobank study N Dolezalova, M Cairo, A Despotovic, ATC Booth, AB Reed, D Morelli, ... arXiv preprint arXiv:2104.10108, 2021 | 4 | 2021 |
| Engagement with mHealth COVID-19 digital biomarker measurements in a longitudinal cohort study: Mixed methods evaluation KL Rennie, ER Lawlor, A Yassaee, A Booth, K Westgate, SJ Sharp, ... Journal of Medical Internet Research 25, e40602, 2023 | 2 | 2023 |
| Feasibility of using intermittent active monitoring of vital signs by smartphone users to predict SARS-CoV-2 PCR positivity N Dolezalova, E Gkrania-Klotsas, D Morelli, A Moore, AC Cunningham, ... Scientific Reports 13 (1), 10581, 2023 | 1 | 2023 |
| Prediction of SARS-CoV-2 PCR positivity in UK Fenland study participants using smartphone-submitted vital sign measurements A Moore, N Dolezalova, D Morelli, E Gkrania-Klotsas, A Cunningham, ... | | 2022 |
| Machine learning approach to dynamic risk modeling of mortality in COVID-19: a UK Biobank cohort study MA Dabbah, AB Reed, ATC Booth, A Yassaee, A Despotovic, B Klasner, ... | | 2021 |
| Machine learning approach to dynamic risk modeling of mortality in COVID-19: a UK Biobank study (preprint) M Dabbah, A Reed, ATC Booth, A Yassaee, A Despotovic, B Klasmer, ... | | 2021 |
| Population risk factors for severe disease and mortality in COVID-19: A global systematic review and meta-analysis (preprint) A Booth, AB Reed, S Ponzo, A Yassaee, M Aral, D Plans, A Labrique, ... | | 2020 |
| Original Research Communications S Hennings, S Emms, MY Wong, NJ Wareham, S Gomez, H Liang, ... | | |
