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
Developing Suicide Prevention Tools in the Context of Digital Peer Support: Qualitative Analysis of a Workshop With Multidisciplinary Stakeholders
Read the paperBarriers and facilitators to HIV testing among African and Caribbean heritage communities: a mixed methods study
Read the paperThe 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 the west of England: A mixed-methods study
Read the paperRethinking children’s physical activity interventions at school: A new context-specific approach
Read the paper