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Analyzing unmanned aerial vehicle (drone) attacks; a disaster medicine perspective - 10/09/24

Doi : 10.1016/j.ajem.2024.08.001 
Vadym Shapovalov a, b, Quincy K Tran c, d, Maria Groussis a, Gregory Jasani c, Laura Tilley a, Ali Pourmand a,
a Department of Emergency Medicine, George Washington University School of Medicine and Health Sciences, Washington, DC, United States 
b Department of Emergency and Hospital Medicine, Lehigh Valley Health Network, Allentown, PA, United States 
c Department of Emergency Medicine, University of Maryland School of Medicine, Baltimore, MD, United States 
d Program in Trauma, The R Adam Cowley Shock Trauma Center, University of Maryland School of Medicine, Baltimore, MD, United States 

Corresponding author at: Department of Emergency Medicine, George Washington University School of Medicine and Health Sciences, 2120 L St., Washington, DC 20037, United States.Department of Emergency MedicineGeorge Washington University School of Medicine and Health Sciences2120 L St.WashingtonDC20037United States

Abstract

Introduction

Unmanned aerial vehicles (UAVs), more commonly known as drones, have rapidly become more diverse in capabilities and utilization through technology advancements and affordability. While drones have had significant positive impact on healthcare and consumer delivery particularly in remote and austere environments, Violent Non-State Actors (VNSAs) have increasingly used drones as weapons in planning and executing terrorist attacks resulting in significant morbidity and mortality. We aim to analyze drone-related attacks globally against civilians and critical infrastructure for more effective hospital and prehospital care preparedness.

Methods

We retrospectively reviewed the Global Terrorism Database (GTD) from 1970 to 2020 to analyze the worldwide prevalence of drone-related attacks against civilians and critical infrastructure. Cases were excluded if they had insufficient information regarding a drone involvement, and if attacks were conducted by the government entities. The trends in the number of attacks per month, as well as the number of fatalities and injuries, were examined using time series and trend analysis.

Results

The database search yielded 253 drone-related incidents, 173 of which met inclusion criteria. These incidents resulted in 92 fatalities and 215 injuries with civilian targets most commonly attacked by drones (76 events, 43.9%), followed by military (46 events, 26.5-%). The Middle East region was most affected (168 events, 97% of attacks) and the Islamic state of Iraq was the most common perpetrator (106 events, 61.2%). Almost all attacks were by explosive devices attached to drones (172 events, 99.4%). Time series with linear trend analyses suggested an upward trends of drone attacks by VNSAs, resulting in a greater number of injuries and fatalities, that became more frequent over the years.

Conclusions

Overtime, there were upward trends of drone attacks, with higher lethality and morbidity. There were more injuries compared to fatalities. Most common region affected was the Middle East, and most common type of weapon employed by drone technology was explosive weapon. Investment in medical personnel training, security, and research is crucial for an effective mass-casualty incident response after the drone attacks.

Il testo completo di questo articolo è disponibile in PDF.

Keywords : Unmanned aerial vehicles, UAV, Drone, Attack, Fatalities, injuries


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