Spatial analysis for the epidemiological study of cardiovascular diseases: A systematic literature search

Area of Science:

• Epidemiology
• Geographic Information Systems (GIS)
• Spatial Statistics

Background:

• Cardiovascular diseases (CVDs) are a leading cause of global mortality and disability.
• Effective epidemiological management requires identifying at-risk populations and vulnerable geographic areas.
• Spatial analysis techniques offer valuable tools for understanding disease distribution.

Purpose of the Study:

• To review the application of spatial analysis in studying cardiovascular disease distribution.
• To identify environmental and socioeconomic factors associated with CVD clustering.
• To highlight the utility of spatial statistics in public health interventions.

Main Methods:

• Systematic literature review of studies using spatial analysis for CVD.
• Application of geographical information systems (GIS) and spatial statistics.
• Techniques include cluster detection and spatial correlation analysis.

Main Results:

• CVDs exhibit geographic clustering in incidence, mortality, and hospitalization rates.
• Clustering is associated with factors like obesity, smoking, hypertension, physical activity, and age.
• Environmental and socioeconomic variables (income, residency, education) also contribute to CVD clustering.

Conclusions:

• Spatial analysis, including cluster detection and spatial regression, is crucial for CVD epidemiology.
• These methods identify high-risk locations, guiding health service interventions and resource allocation.
• Understanding geographic patterns of CVDs enables more effective public health strategies.