Using GDACS to anticipate clinical and operational burden after earthquakes: A global event-level analysis (2020-2024)
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View abstract on PubMed
Summary
This summary is machine-generated.Global Disaster Alert and Coordination System (GDACS) alerts correlate with earthquake deaths and predict field-hospital deployment. GDACS scores offer early indicators for disaster surge planning, but require complementary data for comprehensive medical response.
Area Of Science
- Disaster medicine
- Global health security
- Emergency response systems
Background
- Global Disaster Alert and Coordination System (GDACS) alerts are frequently utilized post-earthquake.
- The clinical relevance and predictive utility of GDACS alerts for medical response remain uncertain.
Purpose Of The Study
- To evaluate the association between GDACS alert scores and earthquake-related deaths.
- To assess the predictive value of GDACS alerts for field-hospital deployment following major earthquakes.
Main Methods
- Retrospective global study of GDACS alerts from 2020-2024, clustering events to avoid double counting.
- Spearman correlation used to assess the relationship between GDACS scores and reported deaths.
- Firth logistic regression modeled field-hospital deployment, with sensitivity analyses performed.
Main Results
- GDACS scores showed a significant correlation with reported deaths (ρ=0.522, p<0.001).
- Field-hospital deployment occurred in 52.9% of Red GDACS events versus 0% of Orange events.
- GDACS score strongly predicted deployment (OR=42.7, AUC=0.98), indicating high predictive accuracy.
Conclusions
- GDACS metrics serve as valuable, scalable early indicators for disaster surge planning.
- While useful, GDACS is hazard- and exposure-centric, necessitating integration with subnational data and damage assessments for optimal medical response.
- A multi-layered approach combining GDACS with other data sources enhances timely and evidence-based medical interventions after earthquakes.
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