Authors: Richard Fry*, Swansea University, Amy Mizen, Swansea University, Lucy Griffiths, Swansea University, Ashley Akbari, Swansea Unvirsity
Topics: Medical and Health Geography, Geographic Information Science and Systems, Environment
Keywords: GIS, Health, Linked Data, Built Environment
Session Type: Paper
Start / End Time: 3:05 PM / 4:45 PM
Room: Truman, Marriott, Mezzanine Level
Presentation File: No File Uploaded
Linking spatially modelled socio-environmental data to health, social and administrative data can provide valuable insights into exposures that may affect population health and wellbeing. The SAIL Databank is uniquely placed to link spatial models of exposure at a household level, via a Residential Anonymised Linking Field (RALF), to routinely collected administrative, social and health care data. This system allows the development of localised longitudinal spatial models of exposures, which can inform our understanding of outcomes and provide a richer understanding of exposures when compared to areal-based spatial models. Using these methods, we have explored how the built environment influences population health in Wales, UK. These projects include the influence of alcogenic environments on population health and crime, the influence of fast food on childhood obesity, built environment and physical activity, air pollution and educational attainment and the associations between the availability of blue and green spaces and mental health and wellbeing. This presentation explores the opportunities and challenges of using GIS with anonymised linked data and explores the role geographic scale of analysis plays in health data research, drawing on the experiences of the research conducted using the SAIL Databank.