| A systematic review of supermarket automated electronic sales data for population dietary surveillance VL Jenneson, F Pontin, DC Greenwood, GP Clarke, MA Morris Nutrition reviews 80 (6), 1711-1722, 2022 | 26 | 2022 |
| Socio-demographic determinants of physical activity and app usage from smartphone data F Pontin, N Lomax, G Clarke, MA Morris Social Science & Medicine 284, 114235, 2021 | 14 | 2021 |
| Objectively measuring the association between the built environment and physical activity: a systematic review and reporting framework FL Pontin, VL Jenneson, MA Morris, GP Clarke, NM Lomax International Journal of Behavioral Nutrition and Physical Activity 19 (1), 119, 2022 | 12 | 2022 |
| Clustering accelerometer activity patterns from the UK biobank cohort S Clark, N Lomax, M Morris, F Pontin, M Birkin Sensors 21 (24), 8220, 2021 | 7 | 2021 |
| Characterisation of temporal patterns in step count behaviour from smartphone app data: An unsupervised machine learning approach F Pontin, N Lomax, G Clarke, MA Morris International Journal of Environmental Research and Public Health 18 (21), 11476, 2021 | 4 | 2021 |
| Utilising smartphone data to explore spatial influences on physical activity F Pontin Big Data Applications in Geography and Planning, 79-92, 2021 | 4 | 2021 |
| Progress towards using linked population-based data for geohealth research: Comparisons of Aotearoa New Zealand and the United Kingdom RA Oldroyd, M Hobbs, M Campbell, V Jenneson, L Marek, MA Morris, ... Applied Spatial Analysis and Policy 14 (4), 1025-1040, 2021 | 2 | 2021 |
| The Potential of Digital Footprint Data for Health & Wellbeing Research R Burgess, E Dolan, N Poon, V Jenneson, F Pontin, T Sivill, M Morris, ... | | 2024 |
| Healthier swaps: evaluating the effects of in-store point of sale messaging to encourage choice of'healthier'alternatives to popular products R Makena Onyonka, V Jenneson, FL Pontin, W Young, MA Morris Proceedings of the Nutrition Society 82 (OCE5), 2024 | | 2024 |
| Customer trends in take-away purchasing: Geospatial patterns of online food delivery platform usage in UK output areas T Garcia del Toro, F Pontin, R Oldroyd, S Clark, N Lomax International Journal of Population Data Science 8 (3), 10, 2023 | | 2023 |
| Healthier swaps: evaluating the effects of in-store point of sale messaging to encourage choice of ˇhealthier˘alternatives to popular products RM Onyonka, V Jenneson, FL Pontin, W Young, MA Morris Proceedings of the Nutrition Society 82 (OCE5), E326, 2023 | | 2023 |
| Identifying drivers of food insecurity through linked data-the Priority Places for Food Index F Pontin, P Baudains, E Ennis, M Morris International Journal of Population Data Science 8 (3), 2023 | | 2023 |
| Customer trends in take-away purchasing: Geospatial patterns of online food delivery platform usage in UK output areas TG del Toro, F Pontin, R Oldroyd, S Clark, N Lomax International Journal of Population Data Science 8 (3), 2023 | | 2023 |
| Progress Towards Using Linked Population-Based Data For Geohealth Research: Comparisons Of Aotearoa New Zealand And The United Kingdom (Apr, 10.1007/s12061-021-09381-8, 2021) RA Oldroyd, M Hobbs, M Campbell, V Jenneson, L Marek, MA Morris, ... APPLIED SPATIAL ANALYSIS AND POLICY 14 (4), 1041-1042, 2021 | | 2021 |
| Identifying physical activity behaviours and population characteristics from secondary smartphone fitness apps: Oral Presentation B11. 4 F Pontin, N Lomax, G Clarke, M Morris The Health & Fitness Journal of Canada 14 (3), 2021 | | 2021 |
| Objectively measuring the association between the built environment and physical activity-identifying the gaps: a systematic review and reporting framework: Oral Presentation B2. 6 F Pontin, V Jenneson, N Lomax, G Clarke, M Morris The Health & Fitness Journal of Canada 14 (3), 2021 | | 2021 |
| Identifying Determinants and Patterns of Physical Activity Behaviour Using Smartphone Data FL Pontin University of Leeds, 2021 | | 2021 |
| Identifying areas at highest food insecurity through open data: the “Priority Places for Food Index” F Pontin, P Baudains, E Ennis, M Morris | | |
Michelle A MorrisProfessor, Data Science for Food, Leeds Institute for Data Analytics, School Food Science andVerified email at leeds.ac.uk
