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Combining Geospatial Analysis with Dementia Risk Utilising General Practice Data: A Systematic Review.

N Bagheri1, K Wangdi, N Cherbuin

  • 1Nasser Bagheri, Building 63, Mills Road, Acton, ACT 2601, T: +61 (02) 6125 9564, Australia, nasser.bagheri@anu.edu.au.

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Geographical Information Systems (GIS) and geospatial analysis can map dementia risk hotspots. This helps policymakers target interventions effectively, improving dementia prevention strategies.

Keywords:
Dementia risk assessmentgeneral practice datageospatial analysishotspotsspatial analysis

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Area of Science:

  • Public Health
  • Epidemiology
  • Geospatial Science

Background:

  • Dementia risk varies geographically, necessitating targeted prevention.
  • Existing geospatial studies often rely on retrospective population data.
  • Dementia risk assessment tools can be integrated with family physician databases.

Purpose of the Study:

  • To synthesize literature on geospatial analysis for dementia risk.
  • To review available dementia risk assessment tools.
  • To explore the use of GIS for identifying dementia risk clusters.

Main Methods:

  • Systematic literature review across four major databases (PubMed, Cochrane Central, Embase, Web of Sciences).
  • Search terms included dementia, Alzheimer's disease, risk assessment tools, GIS, and geospatial analysis.
  • Analysis focused on quantifying and mapping dementia risk and identifying risk clusters.

Main Results:

  • Most prior geospatial studies used retrospective population data.
  • General practice databases offer a viable alternative for predicting dementia risk.
  • GIS and geospatial analysis can map dementia risk at a small scale.

Conclusions:

  • Geospatial techniques effectively identify dementia risk clusters (hotspots).
  • GIS enables targeted public health interventions for dementia prevention.
  • This approach refines understanding of socio-demographic and environmental factors in dementia risk.