# Using GDACS to anticipate clinical and operational burden after earthquakes: A global event-level analysis (2020–2024)

**Authors:** Ahmet Aykut, Ertuğ Günsoy, Cem Yıldırım, Anna Bernasconi, Anna Bernasconi, Anna Bernasconi

PMC · DOI: 10.1371/journal.pone.0339018 · PLOS One · 2026-01-13

## TL;DR

This study shows that GDACS alerts can predict the clinical and operational impact of earthquakes, helping with early medical response planning.

## Contribution

The study demonstrates GDACS as a scalable early indicator for surge planning after earthquakes, validated through global event-level analysis.

## Key findings

- GDACS score strongly correlates with earthquake-related deaths (ρ=0.522).
- Field-hospital deployment was 52.9% in Red alerts and 0% in Orange alerts.
- GDACS score accurately predicted field-hospital deployment (AUC=0.98).

## Abstract

Global Disaster Alert and Coordination System (GDACS) alerts are widely used after earthquakes, yet their clinical relevance is uncertain. We performed a retrospective, global, event-level study spanning 2020–2024. To avoid double counting, alerts were clustered into country-bounded representatives using a 48-hour gap, retaining the alert with the highest GDACS score (n = 85; Red = 17, Orange = 68). Primary outcomes were reported deaths and field-hospital deployment. Associations used Spearman correlation; deployment was modeled with Firth logistic regression. Sensitivity analyses used alternative deployment definitions and composite windows. The GDACS score correlated with deaths (ρ = 0.522, p = 3.0 × 10 ⁻ ⁷). Field-hospital deployment occurred in 52.9% of Red events and 0% of Orange events. The GDACS score strongly predicted deployment (OR=42.7, 95% CI 4.7–385.7), with AUC = 0.98 and Brier = 0.034. An exploratory exposure-normalized subset where GDACS reported population “within 100 km” (n = 19) showed directionally consistent results (ρ = 0.50, p = 0.029).GDACS metrics provide early, scalable indicators for surge planning, but are hazard- and exposure-centric and cannot capture mediators such as collapse dynamics or health-system resilience. Treating GDACS as a first-layer signal, complemented by subnational exposure and rapid damage assessment, can support more timely, evidence-based medical response after major earthquakes.

## Full-text entities

- **Diseases:** crush syndrome (MESH:D003444), AKI (MESH:D058186), crush injury (MESH:D000071576), Deaths (MESH:D003643), shock (MESH:D012769), injury (MESH:D014947), GDACS (MESH:D001259)
- **Chemicals:** GDACS (-), oxygen (MESH:D010100)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

18 references — full list in the complete paper: https://tomesphere.com/paper/PMC12798983/full.md

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Source: https://tomesphere.com/paper/PMC12798983