Applied data science
The applied data science team uses data to uncover the patterns, causes, and effects of health and disease conditions, and how these link to health services, using the best techniques to increase the reliability of their findings.
Theme lead: Professor Yoav Ben-Shlomo
Team members
Dr Caroline Skirrow
Senior Research Associate in Quantitative Applied Health Research
Dr Emily Eyles
Research Fellow, Quantitative Research
Dr Isobel Ward
Applied Data Sciences Team Co-lead
Dr Jessica Watson
GP and Doctoral Research Fellow
Dr Rachel Perry
Research Fellow in Evidence Synthesis
Dr Rebecca Wilson
Senior Research Associate in Quantitative Research and Evidence Synthesis
Hannah Edwards
Senior Research Associate, Quantitative Research
Jialan Hong
Research Associate in Data and Quantitative Research
Lauren Scott
Senior Research Associate, Quantitative Research/Evidence Synthesis
Professor Frank de Vocht
Applied Data Sciences Team Co-lead
Professor John Macleod
Professor in Clinical Epidemiology and Primary Care
Professor Kate Tilling
Applied data science workstream lead
Professor Yoav Ben-Shlomo
Cross-cutting Methodological Theme LeadProjects
Reducing abusive head injuries in babies: Evaluating the ICON programme
Research themes:
- Healthier childhoods
Research teams:
- Applied data science
- Behavioural and qualitative science
- Evidence
- Health economics
Healthcare leaders and professionals’ perspectives of the ICON programme to prevent abusive head trauma in infants: a qualitative study
Read the paperPredicting head injury and concussion in children
Research themes:
- Healthier childhoods
Research teams:
- Applied data science
- Evidence
Defining paediatric abusive head trauma using routinely collected patient datasets: Scoping review and testing in a UK cohort
Read the paperTellMiSaives – evaluating a peer support app for children and young people
Research themes:
- Mental health
Research teams:
- Applied data science
Developing Suicide Prevention Tools in the Context of Digital Peer Support: Qualitative Analysis of a Workshop With Multidisciplinary Stakeholders
Read the paperCommon Ambition Bristol: Addressing HIV stigma and testing in partnership with African and Caribbean communities
Research themes:
- Public health and prevention
Research teams:
- Applied data science
- Behavioural and qualitative science
Barriers and facilitators to HIV testing among African and Caribbean heritage communities: a mixed methods study
Read the paperReThink: Mental health and transitions for care-experienced young people
Research themes:
- Healthier childhoods
Research teams:
- Applied data science
The mental health and wellbeing of care-experienced young people during early and later adolescence
Read the paperExploring risk factors for COVID-19 mortality and infection in care homes in Bath and North East Somerset
Research themes:
- COVID
- Health informatics
- Public health and prevention
Research teams:
- Applied data science
- Behavioural and qualitative science
Exploring risk factors for COVID-19 mortality and infection in care homes in the west of England: A mixed-methods study
Read the paper