Urban Environmental Determinants and Spatiotemporal Patterns of Emergency Medical Service Response to Traumatic Injuries
A Five-Year Population-Based Study
Bibliographic Data
| ID | 15488980 |
|---|---|
| Authors | Akerke Chayakova (0000-0002-8398-3684, Astana Medical University), Oxana Tsigengagel (Astana Medical University, corresponding author) |
| Year | 2026 |
| Volume | 23 |
| Issue | 4 |
| Pages | 434-434 |
| Publication date | 2026-03-30 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph23040434 |
| OpenAlex | W7143355683 |
| Language | EN |
| References cited | 36 |
Background: Timely prehospital management is critical for survival after traumatic injury. In rapidly growing metropolises, emergency medical service (EMS) systems often struggle to provide equitable care amid urban sprawl and traffic congestion. This study investigated spatiotemporal inequalities in trauma-related EMS response in a rapidly expanding capital city (Astana, Kazakhstan) to inform healthcare optimization and urban health equity. Methods: We analyzed a five-year population-based dataset of 26,073 trauma-related EMS calls recorded between 2020 and 2024. Spatial patterns were examined using Kernel Density Estimation (KDE) and Getis–Ord Gi* hotspot analysis. Road-network modeling assessed accessibility at 3, 5, and 10 min thresholds using a GIS-based network analyst framework. Results: Males accounted for 60.1% of utilization and had higher clinical severity (hospitalization rate: 45.5% vs. 40.3%, p < 0.001). Demand peaked at 20:00, coinciding with peak traffic. The mean total response time was 21.63 min, and only 16.9% of calls met the 10 min benchmark. Significant accessibility gaps were found in the Baikonur district (61.4% delay rate). Conclusions: The findings demonstrate that while the EMS system provides broad geographic coverage, it suffers from systemic spatiotemporal bottlenecks. Targeted infrastructure expansion in underserved peripheral districts and the implementation of dynamic deployment models are necessary to enhance urban health equity and reduce preventable mortality in expanding metropolitan areas
Equity (law · Geographic information system · Health care · Inequality · Metropolitan area · Occupational safety and health · Poison control · Software deployment · Urban sprawl · Traffic and Road Safety · Trauma and Emergency Care Studies · Urban Transport and Accessibility · Emergency Medical Services
The global burden of injury
Urban–suburb disparities in pre-hospital emergency medical resources and response time among patients with out-of-hospital cardiac arrest
Isochrone-Based Accessibility Analysis of Pre-Hospital Emergency Medical Facilities
Spatiotemporal Analysis of Traffic Accidents Hotspots Based on Geospatial Techniques
A Smart Spatial Routing and Accessibility Analysis System for EMS Using Catchment Areas of Voronoi Spatial Model and Time-Based Dijkstra’s Routing Algorithm
Spatial and temporal analysis of road traffic crashes and ambulance responses in Lagos state, Nigeria
Spatial-time analysis of cardiovascular emergency medical requests
Trauma in the Neighborhood
| Citation velocity | historical |
|---|---|
| Highly cited | No |