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Advances in spatial epidemiology and geographic information systems
Russell S Kirby1, Eric Delmelle2, Jan M Eberth3
1Department of Community and Family Health, University of South Florida, Tampa.
Annals of Epidemiology
|January 14, 2017
Summary
Spatial epidemiology uses geographic information systems (GIS) for disease research. This study introduces advanced spatial analytic methods and GIS applications to improve epidemiologic studies.
Area of Science:
- Epidemiology
- Geographic Information Systems (GIS)
- Spatial Analysis
Background:
- The field of spatial epidemiology has seen significant advancements over the last two decades.
- Geographic Information Systems (GIS) are increasingly vital tools in applied epidemiological research.
Purpose of the Study:
- To provide an introduction to spatial epidemiology and the application of GIS in the field.
- To highlight technical developments and opportunities for spatial analytic methods in epidemiologic research.
Main Methods:
- Geocoding and distance estimation
- Analysis of residential mobility and record linkage
- Spatial and spatio-temporal clustering techniques
- Small area estimation and Bayesian disease mapping
Main Results:
- The study reviews various methodologies crucial for spatial epidemiology.
- It emphasizes the integration of these methods into study designs and analytical frameworks.
- The included articles showcase practical applications of these advanced techniques.
Conclusions:
- This work aims to stimulate further development and adoption of spatial analysis and GIS in epidemiology.
- Encourages broader utilization of these powerful tools for understanding disease patterns and distribution.
- Highlights the potential for enhanced public health insights through spatial approaches.
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