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韩国基于事件的监测:对开源疫情情报有效性的评估。

Event-based surveillance in Republic of Korea: assessment of the effectiveness of Epidemic Intelligence from Open Sources.

作者信息

Kim Seontae, Lee Jia, Oh Jiyoung, Lee Ji Joo, Kim Geehyuk, Chung Jaehwa, Lee Yunhee, Kim Yongmoon, Tak Sangwoo

机构信息

Division of Risk Assessment, Bureau of Public Health Emergency Preparedness, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea.

出版信息

Western Pac Surveill Response J. 2025 Jul 28;16(3):1-7. doi: 10.5365/wpsar.2025.16.1151. eCollection 2025 Jul-Sep.

Abstract

In 2023, Republic of Korea's Korea Disease Control and Prevention Agency (KDCA) enhanced its event-based surveillance practices by using the World Health Organization's (WHO) Epidemic Intelligence from Open Sources (EIOS) to actively screen and share information about potential public health threats to the country. This report describes the preliminary assessment of the results of implementing these enhanced event-based surveillance activities from June to October 2023. During this period, 425 (0.4%) events were detected globally by the KDCA from 99 945 media articles, with the highest frequency reported in Asia (185, 43.5%) and North America (81, 19.1%). The most frequently reported diseases or conditions were dengue fever (111, 26.1%) and mpox (32, 7.5%). Eight events were detected early by the KDCA using EIOS before being officially listed on WHO's Event Information Site (EIS) or in Disease Outbreak News (DON), with an average interval of 20 days (range: 5-41) between the detection date and posting on EIS or DON. Thus, EIOS is efficient in aiding early detection of potential public health threats at the national level. This finding highlights the importance of sustaining international cooperation and support to enhance surveillance capabilities in resource-limited settings and expanding the scope of EIOS, including by incorporating additional sources and sources in additional languages, reducing noise. However, as the current report is based on a descriptive analysis, in the future a systematic evaluation of event-based surveillance using EIOS to identify relevant attributes will need to be conducted.

摘要

2023年,大韩民国疾病管理厅(KDCA)通过使用世界卫生组织(WHO)的开源疫情情报(EIOS)加强了基于事件的监测做法,以积极筛查并分享有关该国潜在公共卫生威胁的信息。本报告描述了对2023年6月至10月实施这些强化的基于事件的监测活动结果的初步评估。在此期间,KDCA从99945篇媒体文章中在全球检测到425起(0.4%)事件,其中亚洲报告的频率最高(185起,43.5%),其次是北美洲(81起,19.1%)。报告频率最高的疾病或状况是登革热(111起,26.1%)和猴痘(32起,7.5%)。KDCA利用EIOS在事件正式列入世卫组织事件信息网站(EIS)或疾病暴发新闻(DON)之前提前检测到8起事件,检测日期与在EIS或DON上发布之间的平均间隔为20天(范围:5 - 41天)。因此,EIOS有助于在国家层面早期发现潜在的公共卫生威胁。这一发现凸显了维持国际合作与支持以加强资源有限环境中的监测能力以及扩大EIOS范围的重要性,包括纳入更多来源和更多语言的来源,减少干扰信息(噪音)。然而,由于本报告基于描述性分析,未来需要对使用EIOS进行基于事件的监测以确定相关属性进行系统评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a1ea/12325167/93b2b9cdd336/wpsar-16-1151-g001.jpg

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