Gareth John

TL;DR: The aim of this work was to develop and implement an accurate matching process to enable the assignment of a unique Anonymous Linking Field (ALF) to person-based records to make the SAIL databank ready for record-linkage research studies.

TL;DR: The pragmatic approach that has been adopted has been able to address the key challenges in establishing a national databank of anonymised person-based records, so that the data are available for research and evaluation whilst meeting the requirements of Information Governance.

TL;DR: Residence in the most deprived neighbourhoods was negatively associated with change in mental health, after adjusting for baseline individual socio-economic risk factors and transitions in life events, but this negative effect was significantly reduced in high social cohesion neighbourhoods.

TL;DR: The possibility of creating anonymous links between individual residences and the local environment using digital map data and a data linkage system is demonstrated and potentially enables flexible fine-scale, large-area observational studies of communities and health.

TL;DR: This work aims to provide an accessible research platform to determine demographic, socioeconomic and clinical risk factors for infection, morbidity and mortality of CO VID-19, to measure the impact of COVID-19 on healthcare utilisation and long-term health, and to enable the evaluation of natural experiments of policy interventions.