Social Factors as Major Determinants of Rural Development Variation for Predicting Epidemic Vulnerability: A Lesson...

Area of Science:

• Rural sociology and public health
• Socio-spatial analysis and epidemic preparedness

Background:

• Recent shifts in social attitudes emphasize environmental responsibility.
• The COVID-19 pandemic revealed significant socio-spatial disparities in epidemic risk.
• Initial uniform public health responses lacked area-specific risk differentiation.

Purpose of the Study:

• To develop a model for classifying rural areas based on epidemic threat vulnerability.
• To identify key demographic, social, economic, and spatial-environmental factors influencing vulnerability.
• To provide a resource for crisis management and future epidemic response planning.

Main Methods:

• Utilized 33 public statistics indicators to assess epidemic vulnerability.
• Applied statistical analysis to identify significant indicators for a classification model.
• Focused research on rural areas within Poland.

Main Results:

• Identified 11 statistically significant indicators for the classification model in Poland.
• Social factors, including housing density and community facility usage, were found to be vital.
• Specific social indicators: persons per apartment, village centers, events, people per facility, nursing home residents, and preschool education enrollment.

Conclusions:

• Social factors play a critical role in determining rural areas' vulnerability to epidemic threats.
• The developed classification model offers a data-driven approach for crisis management.
• Findings support targeted interventions to reduce risks and promote sustainable development in rural areas.