加强基于事件的监控:2022 年卡塔尔国际足联世界杯期间的开放源流行病情报 (EIOS)

IF 4.7 3区 医学 Q1 INFECTIOUS DISEASES Journal of Infection and Public Health Pub Date : 2024-08-03 DOI:10.1016/j.jiph.2024.102514
{"title":"加强基于事件的监控:2022 年卡塔尔国际足联世界杯期间的开放源流行病情报 (EIOS)","authors":"","doi":"10.1016/j.jiph.2024.102514","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Public health threats can significantly impact mass gatherings and enhancing surveillance systems would thus be crucial. Epidemic Intelligence from Open Sources (EIOS) was introduced to Qatar to complement the existing surveillance measures in preparation to the FIFA World Cup Qatar 2022 (FWC22). This study estimated the empirical probability of EIOS detecting signals of public health relevance. It also looked at the factors responsible for discerning a moderate-high risk signal during a mass gathering event.</p></div><div><h3>Methods</h3><p>This cross-sectional descriptive study used data collected between November 8th and December 25th, 2022, through an EIOS dashboard that filtered open-source articles using specific keywords. Triage criteria and scoring scheme were developed to capture signals and these were maintained in MS Excel. EIOS’ contribution to epidemic intelligence was assessed by the empirical probability estimation of relevant public health signals. Chi-squared tests of independence were performed to check for associations between various hazard categories and other independent variables. A multivariate logistic regression evaluated the predictors of moderate-high risk signals that required prompt action.</p></div><div><h3>Results</h3><p>The probability of EIOS capturing a signal relevant to public health was estimated at 0.85 % (95 % confidence interval (CI) [0.82 %−0.88 %]) with three signals requiring a national response. The hazard category of the signal had significant association to the region of occurrence (χ<sup>2</sup> (5, N = 2543) = 1021.6, <em>p</em> &lt; .001). The hazard category also showed significant association to its detection during matchdays of the tournament (χ<sup>2</sup> (5, N = 2543) = 11.2, <em>p</em> &lt; .05). The triage criteria developed was able to discern between low and moderate-high risk signals with an acceptable discrimination (Area Under the Curve=0.79).</p></div><div><h3>Conclusion</h3><p>EIOS proved useful in the early warning of public health threats.</p></div>","PeriodicalId":16087,"journal":{"name":"Journal of Infection and Public Health","volume":null,"pages":null},"PeriodicalIF":4.7000,"publicationDate":"2024-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S187603412400248X/pdfft?md5=1a4e943d3f36de683a065d02e876c5de&pid=1-s2.0-S187603412400248X-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Enhanced event-based surveillance: Epidemic Intelligence from Open Sources (EIOS) during FIFA World Cup 2022 Qatar\",\"authors\":\"\",\"doi\":\"10.1016/j.jiph.2024.102514\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>Public health threats can significantly impact mass gatherings and enhancing surveillance systems would thus be crucial. Epidemic Intelligence from Open Sources (EIOS) was introduced to Qatar to complement the existing surveillance measures in preparation to the FIFA World Cup Qatar 2022 (FWC22). This study estimated the empirical probability of EIOS detecting signals of public health relevance. It also looked at the factors responsible for discerning a moderate-high risk signal during a mass gathering event.</p></div><div><h3>Methods</h3><p>This cross-sectional descriptive study used data collected between November 8th and December 25th, 2022, through an EIOS dashboard that filtered open-source articles using specific keywords. Triage criteria and scoring scheme were developed to capture signals and these were maintained in MS Excel. EIOS’ contribution to epidemic intelligence was assessed by the empirical probability estimation of relevant public health signals. Chi-squared tests of independence were performed to check for associations between various hazard categories and other independent variables. A multivariate logistic regression evaluated the predictors of moderate-high risk signals that required prompt action.</p></div><div><h3>Results</h3><p>The probability of EIOS capturing a signal relevant to public health was estimated at 0.85 % (95 % confidence interval (CI) [0.82 %−0.88 %]) with three signals requiring a national response. The hazard category of the signal had significant association to the region of occurrence (χ<sup>2</sup> (5, N = 2543) = 1021.6, <em>p</em> &lt; .001). The hazard category also showed significant association to its detection during matchdays of the tournament (χ<sup>2</sup> (5, N = 2543) = 11.2, <em>p</em> &lt; .05). The triage criteria developed was able to discern between low and moderate-high risk signals with an acceptable discrimination (Area Under the Curve=0.79).</p></div><div><h3>Conclusion</h3><p>EIOS proved useful in the early warning of public health threats.</p></div>\",\"PeriodicalId\":16087,\"journal\":{\"name\":\"Journal of Infection and Public Health\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.7000,\"publicationDate\":\"2024-08-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S187603412400248X/pdfft?md5=1a4e943d3f36de683a065d02e876c5de&pid=1-s2.0-S187603412400248X-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Infection and Public Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S187603412400248X\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"INFECTIOUS DISEASES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Infection and Public Health","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S187603412400248X","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
引用次数: 0

摘要

背景公共卫生威胁会对大规模集会产生重大影响,因此加强监测系统至关重要。为迎接 2022 年卡塔尔国际足联世界杯(FWC22),卡塔尔引入了开放源流行病情报系统(EIOS),以补充现有的监控措施。这项研究估算了 EIOS 检测到公共卫生相关信号的经验概率。这项横断面描述性研究使用了 2022 年 11 月 8 日至 12 月 25 日期间通过 EIOS 面板收集的数据,该面板使用特定关键词过滤开源文章。为捕捉信号制定了分流标准和评分计划,并将其保存在 MS Excel 中。通过对相关公共卫生信号的经验概率估计,评估了 EIOS 对流行病情报的贡献。对独立性进行了卡方检验,以检查各种危害类别与其他独立变量之间是否存在关联。结果据估计,监督厅捕捉到与公共卫生有关的信号的概率为 0.85%(95% 置信区间 (CI) [0.82%-0.88%]),其中有三个信号需要国家做出反应。信号的危害类别与发生地区有显著关联(χ2 (5, N = 2543) = 1021.6, p <.001)。危险类别还与在比赛日期间的检测结果有明显关联(χ2 (5, N = 2543) = 11.2, p <.05)。所制定的分流标准能够以可接受的区分度(曲线下面积=0.79)区分低风险和中高风险信号。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Enhanced event-based surveillance: Epidemic Intelligence from Open Sources (EIOS) during FIFA World Cup 2022 Qatar

Background

Public health threats can significantly impact mass gatherings and enhancing surveillance systems would thus be crucial. Epidemic Intelligence from Open Sources (EIOS) was introduced to Qatar to complement the existing surveillance measures in preparation to the FIFA World Cup Qatar 2022 (FWC22). This study estimated the empirical probability of EIOS detecting signals of public health relevance. It also looked at the factors responsible for discerning a moderate-high risk signal during a mass gathering event.

Methods

This cross-sectional descriptive study used data collected between November 8th and December 25th, 2022, through an EIOS dashboard that filtered open-source articles using specific keywords. Triage criteria and scoring scheme were developed to capture signals and these were maintained in MS Excel. EIOS’ contribution to epidemic intelligence was assessed by the empirical probability estimation of relevant public health signals. Chi-squared tests of independence were performed to check for associations between various hazard categories and other independent variables. A multivariate logistic regression evaluated the predictors of moderate-high risk signals that required prompt action.

Results

The probability of EIOS capturing a signal relevant to public health was estimated at 0.85 % (95 % confidence interval (CI) [0.82 %−0.88 %]) with three signals requiring a national response. The hazard category of the signal had significant association to the region of occurrence (χ2 (5, N = 2543) = 1021.6, p < .001). The hazard category also showed significant association to its detection during matchdays of the tournament (χ2 (5, N = 2543) = 11.2, p < .05). The triage criteria developed was able to discern between low and moderate-high risk signals with an acceptable discrimination (Area Under the Curve=0.79).

Conclusion

EIOS proved useful in the early warning of public health threats.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Infection and Public Health
Journal of Infection and Public Health PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH -INFECTIOUS DISEASES
CiteScore
13.10
自引率
1.50%
发文量
203
审稿时长
96 days
期刊介绍: The Journal of Infection and Public Health, first official journal of the Saudi Arabian Ministry of National Guard Health Affairs, King Saud Bin Abdulaziz University for Health Sciences and the Saudi Association for Public Health, aims to be the foremost scientific, peer-reviewed journal encompassing infection prevention and control, microbiology, infectious diseases, public health and the application of healthcare epidemiology to the evaluation of health outcomes. The point of view of the journal is that infection and public health are closely intertwined and that advances in one area will have positive consequences on the other. The journal will be useful to all health professionals who are partners in the management of patients with communicable diseases, keeping them up to date. The journal is proud to have an international and diverse editorial board that will assist and facilitate the publication of articles that reflect a global view on infection control and public health, as well as emphasizing our focus on supporting the needs of public health practitioners. It is our aim to improve healthcare by reducing risk of infection and related adverse outcomes by critical review, selection, and dissemination of new and relevant information in the field of infection control, public health and infectious diseases in all healthcare settings and the community.
期刊最新文献
Contents Editorial Board Quantitative PCR for early detection of human cytomegalovirus end-organ disease in immunocompetent host: A retrospective single-center study Metagenomic analysis of atheroma plaques for identification of microorganisms indicates presence of Toxoplasma gondii as a possible etiological agent Prevalence and determinants associated with T. pallidum infection in adults from poor urban communities, Brazilian Amazon
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1