2022年乌克兰入侵后放射事件和综合征检测的开源情报:观察性研究。

IF 3.5 Q1 HEALTH CARE SCIENCES & SERVICES
JMIR infodemiology Pub Date : 2023-06-28 DOI:10.2196/39895
Haley Stone, David Heslop, Samsung Lim, Ines Sarmiento, Mohana Kunasekaran, C Raina MacIntyre
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引用次数: 0

摘要

背景:2022年2月25日,在切尔诺贝利禁区内持续战斗后,俄罗斯军队控制了切尔诺贝利核电站。3月份连续发生事件,增加了以前未受污染地区可能受到污染的风险,并可能对人类和环境健康产生影响。战争的中断中断了正常的预防活动,辐射监测传感器无法工作。在没有正式报告和数据的情况下,开源情报可以提供信息。目的:本文旨在证明在乌克兰冲突期间,开源情报在识别具有健康意义的潜在放射性事件信号方面的价值。方法:使用EPIWATCH和Epitweetr 2个开源情报(OSINT)系统,收集2022年2月1日至3月20日期间放射性生物事件和急性辐射综合征检测的搜索术语。结果:EPIWATCH和Epitweetr都在乌克兰全境发现了潜在的放射生物学事件信号,特别是3月4日在基辅、布查和切尔诺贝利。结论:在可能缺乏正式报告和缓解措施的战争条件下,开源数据可提供有关潜在辐射危害的宝贵情报和预警,从而能够及时应对紧急情况和公共卫生问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Open-Source Intelligence for Detection of Radiological Events and Syndromes Following the Invasion of Ukraine in 2022: Observational Study.

Open-Source Intelligence for Detection of Radiological Events and Syndromes Following the Invasion of Ukraine in 2022: Observational Study.

Open-Source Intelligence for Detection of Radiological Events and Syndromes Following the Invasion of Ukraine in 2022: Observational Study.

Open-Source Intelligence for Detection of Radiological Events and Syndromes Following the Invasion of Ukraine in 2022: Observational Study.

Background: On February 25, 2022, Russian forces took control of the Chernobyl power plant after continuous fighting within the Chernobyl exclusion zone. Continual events occurred in the month of March, which raised the risk of potential contamination of previously uncontaminated areas and the potential for impacts on human and environmental health. The disruption of war has caused interruptions to normal preventive activities, and radiation monitoring sensors have been nonfunctional. Open-source intelligence can be informative when formal reporting and data are unavailable.

Objective: This paper aimed to demonstrate the value of open-source intelligence in Ukraine to identify signals of potential radiological events of health significance during the Ukrainian conflict.

Methods: Data were collected from search terminology for radiobiological events and acute radiation syndrome detection between February 1 and March 20, 2022, using 2 open-source intelligence (OSINT) systems, EPIWATCH and Epitweetr.

Results: Both EPIWATCH and Epitweetr identified signals of potential radiobiological events throughout Ukraine, particularly on March 4 in Kyiv, Bucha, and Chernobyl.

Conclusions: Open-source data can provide valuable intelligence and early warning about potential radiation hazards in conditions of war, where formal reporting and mitigation may be lacking, to enable timely emergency and public health responses.

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