1 / 17

GeoVisualisation of health data

GeoVisualisation of health data. Prof Clive Sabel Geography, CLES and European Centre for Environment & Human Health. Spatial data mining case-studies - Childhood Obesity in Devon - Neurological disease in Finland - Road Traffic Accidents in New Zealand. Childhood Obesity in Devon.

Download Presentation

GeoVisualisation of health data

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. GeoVisualisation of health data Prof Clive Sabel Geography, CLES and European Centre for Environment & Human Health

  2. Spatial data mining case-studies - Childhood Obesity in Devon - Neurological disease in Finland - Road Traffic Accidents in New Zealand

  3. Childhood Obesity in Devon

  4. ‘Distorted’maps: Cartograms US election 2008 US election 2004

  5. HIV Prevalance

  6. Physicians working

  7. Neurological disease in Finland

  8. Cases MND • 1000 cases • 3113 case residences • But population naturally clusters in cities • So search for ‘excess’ over and above the background rate

  9. Residential Clustering ofMotor Neurone DiseaseFinland • Kernel (Density) Estimates of • All places of residence • Statistical Significance tested by Monte-Carlo Simulation • Note large peak in SE Finland

  10. Space-TimeVisualisation • Residential Migration • Animation • Space: Finland • Time: 1965 – 1990 • Illustrates Spatial and Temporal variation • Note: • persistent dark areas in SE • In SW, at varying times, areas switch from high to low rates of disease

  11. MND Individual Migration Histories • Same data as before, but now showing individual migration trajectories. • The larger densities of colour identify the larger cities

  12. Road Traffic Accidents in New Zealand

  13. Christchurch, NZ City Centre Also a Kernel density estimate of RTAs. Compare model results (black polygon) with observations (red-blue image) Note more accidents than modelled in the city centre, and around junctions

  14. Left: Temporal analysis of all road accidents - accidents reducing over time, due to increased safety measures introduced. Right: Temporal analysis of just accidents involving cyclists - accidents increasing in the circled area, why?

  15. Drive Safely!

More Related