Conceptual framework and quantification of population vulnerability for effective emergency response planning

Area of Science:

• Disaster preparedness and response
• Public health
• Geographic information systems (GIS) and spatial analysis

Background:

• Effective bioemergency disaster planning requires understanding population vulnerabilities.
• Traditional response plans may not adequately address diverse population needs, leading to resource allocation gaps.

Purpose of the Study:

• To advance methods for quantifying population vulnerability using multilevel data in bioemergency disaster planning.
• To assess transportation and communication vulnerabilities within Tarrant County, Texas.

Main Methods:

• Quantified transportation and communication vulnerabilities using Transit Authority and American Community Survey data.
• Integrated data with Topologically Integrated Geographic Encoding and Referencing (TIGER) for spatial analysis.
• Generated and assessed a feasible response plan for Tarrant County.

Main Results:

• Identified nearly 23,000 individuals at risk of not reaching Points of Dispensing (PODs) due to transportation barriers.
• Revealed over 11,000 households in Southeast Tarrant County require translation services, indicating uneven language vulnerability.
• Highlighted the necessity of integrating geographic and demographic data for effective resource distribution.

Conclusions:

• Multilevel vulnerability quantification at the POD level enables targeted at-risk analysis.
• Acknowledged that social, behavioral, cultural, economic, and health disparities necessitate tailored resources for emergency response.
• Demonstrated a method for granular vulnerability assessment to improve disaster response plans.