Spatio-Temporal Healthcare Accessibility Drivers in Florida

An analytic framework evaluates the changing influence of drivers like travel propensity and population demand on healthcare accessibility through spatial, temporal, and spatio-temporal Global Sensitivity Analysis. The framework was applied to a case study in Florida, revealing that primary determinants vary significantly by context and fluctuate by week and location. The dataset, last updated on 2026-05-12, includes multiple file formats totaling 15.6 MB and is published under a CC-BY-4.0 license.

Use Cases

• Modeling healthcare accessibility based on dynamic factors like travel propensity and disease rates.
• Conducting spatial Global Sensitivity Analysis to identify dominant access drivers in rural versus urban areas.
• Performing temporal analysis to understand how accessibility influences fluctuate by specific week.
• Providing evidence-based guidance for policy interventions targeted to specific times and locations.

Strengths

• Includes a 15.6 MB multi-format dataset with geospatial files (SHP, PRJ).
• Applies a systematic analytic framework for spatio-temporal sensitivity analysis.
• Offers a case study with concrete findings for Florida.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect geographic bias inherent to the Florida case study.

Provenance

Source

figshare

Collection Method

An analytic framework applying Global Sensitivity Analysis to a case study.

Freshness

Last updated 2026-05-12 21:12:42; freshness should be verified.

Geography

Florida, USA