von der Forst Maik, Dietrich Maximilian, Schmitt Felix C F, Popp Erik, Ries Markus
Heidelberg University, Medical Faculty Heidelberg, Department of Anesthesiology, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
Heidelberg University, Medical Faculty Heidelberg, Center for Pediatrics and Adolescent Medicine, Pediatric Neurology and Metabolic Medicine, Im Neuenheimer Feld 430, 69120, Heidelberg, Germany.
Sci Rep. 2025 Jan 3;15(1):620. doi: 10.1038/s41598-024-84223-4.
The goal of this analysis is to describe seasonal disaster patterns in Central Europe in order to raise awareness and improve hospital disaster planning and resilience, particularly during peak events. Hospitals are essential pillars of a country's critical infrastructure, vital for sustaining healthcare services and supporting public well-being-a key issue of national security. Disaster planning for hospitals is crucial to ensure their functionality under special circumstances. But the impact of climate change and seasonal variations in the utilization of hospital services are raising challenges. Therefore, the knowledge of perennial disaster patterns could help strengthen the resilience of hospitals. We conducted a cross-sectional analysis of the Emergency Events Database EM-DAT for disasters in Central Europe (Germany, France, Denmark, The Netherlands, Belgium, Luxembourg, Switzerland, Austria, Czech Republic, and Poland) between January 2000 and December 2023. Time distribution of disasters, patterns and longitudinal trends, were analyzed to discuss impact on disaster preparedness in hospitals. Out of 474 events, 83% were associated with a natural hazard and only 80 events (17%) were of technological cause. While technological disasters were spread equally over the whole year, the vast majority of disasters related to natural hazards (n = 394), i.e. storms (n = 178, 45%), floods (n = 101, 26%), and extreme temperatures (n = 93, 24%) peaked during summer and winter months. Fewer disasters were registered during autumn and especially spring seasons. More than 50% of the technological disasters were categorized in the transport accident subgroup. Technological disasters were spread equally over the whole year. Looking at the three most common disaster types, extreme temperatures, floods, and storms are clearly dominating and cause over 90% of the disasters due to natural hazards in central Europe. Overall, the number of events per year fluctuates without a clear trend, only the technological events appear to become less frequent with 70% (n = 56) of the registered disasters occurring in the first half of the study period (2000-2011). An overlap of hospital admissions due to seasonal effects and catastrophic events, mainly triggered by disasters of natural cause in vulnerable periods may lead to a partial collapse of the health care system. To close knowledge gaps, future comprehensive data collection is vital for informed decision-making. Awareness and preparedness are key: an "all-hazards" approach to manage diverse, potentially simultaneous seasonal threats is often the most versatile strategy for hospital emergency planning.
本分析的目的是描述中欧的季节性灾害模式,以提高认识并改进医院的灾害规划和恢复力,尤其是在灾害高峰期。医院是一个国家关键基础设施的重要支柱,对于维持医疗服务和支持公众福祉至关重要——这是国家安全的一个关键问题。医院的灾害规划对于确保其在特殊情况下的功能至关重要。但是气候变化和医院服务利用的季节性变化正在带来挑战。因此,了解常年灾害模式有助于增强医院的恢复力。我们对2000年1月至2023年12月期间中欧(德国、法国、丹麦、荷兰、比利时、卢森堡、瑞士、奥地利、捷克共和国和波兰)灾害的紧急事件数据库EM-DAT进行了横断面分析。分析灾害的时间分布、模式和纵向趋势,以讨论对医院灾害准备的影响。在474起事件中,83%与自然灾害有关,只有80起事件(17%)是技术原因造成的。虽然技术灾害全年分布均匀,但绝大多数与自然灾害相关的灾害(n = 394),即风暴(n = 178,45%)、洪水(n = 101,26%)和极端温度(n = 93,24%)在夏季和冬季达到峰值。秋季尤其是春季登记的灾害较少。超过50%的技术灾害属于运输事故子类别。技术灾害全年分布均匀。看看三种最常见的灾害类型,极端温度、洪水和风暴显然占主导地位,在中欧,它们导致了超过90%的自然灾害。总体而言,每年的事件数量波动且无明显趋势,只有技术事件似乎变得不那么频繁,70%(n = 56)的登记灾害发生在研究期的前半段(2000 - 2011年)。由于季节性影响和灾难性事件导致的医院入院人数重叠,主要由脆弱时期的自然原因灾害引发,可能导致医疗系统部分崩溃。为了填补知识空白,未来全面的数据收集对于明智的决策至关重要。意识和准备是关键:采用“全灾害”方法来管理各种潜在同时发生的季节性威胁,通常是医院应急规划中最通用的策略。