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Open data on health-related neighbourhood features in Great Britain.

Konstantinos DarasMark A GreenAlec DaviesBenjamin BarrAlex Singleton
Published in: Scientific data (2019)
Our study details the creation of a series of national open source low-level geographical measures of accessibility to health-related features for Great Britain. We create 14 measures across three domains: retail environment (fast food outlets, gambling outlets, pubs/bars/nightclubs, off-licences, tobacconists), health services (General Practitioners, pharmacies, dentists, hospitals, leisure centres) and the physical environment (green space and air quality). Using the network analysis process of Routino, postcode accessibility (km) to each of these features were calculated for the whole of Great Britain. An average score for each domain was calculated and subsequently combined to form an overall Index highlighting 'Access to Healthy Assets and Hazards'. We find the most accessible healthy areas are concentrated in the periphery of the urban cores, whilst the least accessible healthy areas are located in the urban cores and the rural areas. The open data resource is important for researchers and policy makers alike with an interest in measuring the role of spatial features on health.
Keyphrases
  • healthcare
  • network analysis
  • mental health
  • public health
  • physical activity
  • minimally invasive
  • big data
  • quality improvement
  • machine learning
  • health information
  • social media
  • health promotion