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2000年至2021年欧洲技术灾难的流行病学概况及发病-死亡模式

The epidemiological profile and morbidity-mortality patterns of technological disasters in Europe from 2000 to 2021.

作者信息

Fernández García Andrea, Cernuda Martínez José Antonio, Arcos González Pedro

机构信息

Unit for Research in Emergency and Disaster, Department of Preventive Medicine and Public Health, Universidad de Oviedo, 33006, Oviedo, Spain.

出版信息

Public Health. 2025 Mar;240:125-130. doi: 10.1016/j.puhe.2025.01.008. Epub 2025 Feb 3.

Abstract

OBJECTIVE

To analyse the epidemiological profile of technological disasters that occurred in Europe between 2000 and 2021, focusing on morbidity and mortality rates, as well as temporal trends.

STUDY DESIGN

A retrospective descriptive analysis was conducted using data from EM-DAT, DesInventar, NatCAt, and Sigma.

METHODS

The disasters were classified into transport, industrial, and miscellaneous accidents. Statistical analyses were conducted to examine the frequencies, trends, and correlations among types of disasters. The Mann-Kendall test was used to determine the presence or absence of temporal trends, while the Augmented Dickey-Fuller test was used to check for stationarity in the time series. Exponential smoothing was used to forecast the annual number of technological disasters up to the year 2032.

RESULTS

A total of 505 technological disasters were recorded. Out of the total number of accidents, 332 (65.74 %) were transport accidents, 66 (13.07 %) were industrial accidents, and 107 (21.19 %) were miscellaneous accidents. The study found a statistically significant decreasing trend for all technological disasters (tau = -0.649; p < 0.000).

CONCLUSIONS

The total number of technological disasters and each of their types decreased. However, there were no discernible trends in the average mortality rate, the average rate of affected people, or the average rate of injuries per year.

摘要

目的

分析2000年至2021年期间在欧洲发生的技术灾难的流行病学概况,重点关注发病率和死亡率以及时间趋势。

研究设计

使用来自EM-DAT、DesInventar、NatCAt和Sigma的数据进行回顾性描述性分析。

方法

将灾难分为运输事故、工业事故和其他事故。进行统计分析以检查各类灾难之间的频率、趋势和相关性。使用曼-肯德尔检验确定时间趋势的存在与否,同时使用增强迪基-富勒检验检查时间序列的平稳性。使用指数平滑法预测到2032年技术灾难的年度数量。

结果

共记录了505起技术灾难。在事故总数中,332起(65.74%)为运输事故,66起(13.07%)为工业事故,107起(21.19%)为其他事故。研究发现所有技术灾难均呈现出具有统计学意义的下降趋势(tau = -0.649;p < 0.000)。

结论

技术灾难的总数及其各类别数量均有所下降。然而,每年的平均死亡率、平均受影响人数或平均受伤率均无明显趋势。

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