Suppr超能文献

分析无人机(drone)袭击;灾难医学视角。

Analyzing unmanned aerial vehicle (drone) attacks; a disaster medicine perspective.

机构信息

Department of Emergency Medicine, George Washington University School of Medicine and Health Sciences, Washington, DC, United States; Department of Emergency and Hospital Medicine, Lehigh Valley Health Network, Allentown, PA, United States.

Department of Emergency Medicine, University of Maryland School of Medicine, Baltimore, MD, United States; Program in Trauma, The R Adam Cowley Shock Trauma Center, University of Maryland School of Medicine, Baltimore, MD, United States.

出版信息

Am J Emerg Med. 2024 Oct;84:135-140. doi: 10.1016/j.ajem.2024.08.001. Epub 2024 Aug 3.

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.

摘要

引言

无人机(UAV),通常被称为无人机,通过技术进步和可负担性,在能力和应用方面变得更加多样化。虽然无人机在医疗保健和消费者配送方面,特别是在偏远和艰苦的环境中,产生了重大的积极影响,但非国家暴力行为者(VNSA)越来越多地将无人机用作策划和执行恐怖袭击的武器,导致重大的发病率和死亡率。我们旨在分析全球针对平民和关键基础设施的与无人机有关的袭击事件,以便为更有效的医院和现场前医疗准备提供信息。

方法

我们回顾性地审查了 1970 年至 2020 年的全球恐怖主义数据库(GTD),以分析全球范围内针对平民和关键基础设施的与无人机有关的袭击事件。如果袭击事件涉及无人机的信息不足,或者袭击是由政府实体进行的,则将其排除在外。使用时间序列和趋势分析检查了每月袭击次数、死亡人数和受伤人数的趋势。

结果

数据库搜索产生了 253 起与无人机有关的事件,其中 173 起符合纳入标准。这些事件导致 92 人死亡,215 人受伤,民用目标是无人机袭击的最常见目标(76 起事件,占 43.9%),其次是军事目标(46 起事件,占 26.5%-)。中东地区受影响最大(168 起事件,占袭击事件的 97%),伊拉克伊斯兰国是最常见的袭击者(106 起事件,占 61.2%)。几乎所有的袭击都是由无人机上附着的爆炸装置造成的(172 起事件,占 99.4%)。线性趋势分析的时间序列表明,VNSA 的无人机袭击呈上升趋势,导致更多的人员伤亡,且随着时间的推移变得更加频繁。

结论

随着时间的推移,无人机袭击呈上升趋势,致死率和发病率更高。与死亡人数相比,受伤人数更多。受影响最严重的地区是中东,无人机技术最常用的武器类型是爆炸武器。投资于医疗人员培训、安全和研究对于在无人机袭击后有效应对大规模伤亡事件至关重要。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验