• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

从疫情检测到疫情预测。

From outbreak detection to anticipation.

作者信息

Texier G, Buisson Y

机构信息

Département d'épidémiologie et de santé publique, institut de médecine tropicale, Marseille, France.

出版信息

Rev Epidemiol Sante Publique. 2010 Dec;58(6):425-33. doi: 10.1016/j.respe.2010.06.169. Epub 2010 Nov 25.

DOI:10.1016/j.respe.2010.06.169
PMID:21111552
Abstract

BACKGROUND

Bioterrorist threats and the emergence of new infectious pathogens force structures and means dedicated to outbreaks detection to evolve. Obtaining early information is becoming a major stake. Development of early warning system and new epidemiological tools open new perspectives in real time management of outbreaks.

METHODS

Through several examples, this overview presents a synthesis and reports the recent multidisciplinary evolutions, which occurred in the field of outbreak detection and information useful for outbreaks anticipation.

CONCLUSION

Outbreak detection is a multidisciplinary activity which relies on many protean epidemiologic sensors. Detection should not be perceived as a finality, but as a crucial step of a broader process in outbreak management (detection, alarm, alert, acceptability, implementation of countermeasures or not). That is why the evaluation of a monitoring system should not be limited to only its ability to detect an aberration. Today, progress in biology, modeling, remote sensing and environmental detection allow model development with anticipation aiming.

摘要

背景

生物恐怖主义威胁以及新的传染性病原体的出现促使致力于疫情检测的结构和手段不断演变。获取早期信息正成为一项重大挑战。早期预警系统和新的流行病学工具的发展为疫情的实时管理开辟了新的前景。

方法

通过几个例子,本综述进行了综合,并报告了在疫情检测领域以及对疫情预测有用的信息方面最近发生的多学科演变。

结论

疫情检测是一项多学科活动,它依赖于许多变化多样的流行病学传感器。检测不应被视为最终目的,而应被视为疫情管理更广泛过程中的关键一步(检测、警报、预警、可接受性、是否实施对策)。这就是为什么对监测系统的评估不应仅限于其检测异常情况的能力。如今,生物学、建模、遥感和环境检测方面的进展使得能够开发具有预测目标的模型。

相似文献

1
From outbreak detection to anticipation.从疫情检测到疫情预测。
Rev Epidemiol Sante Publique. 2010 Dec;58(6):425-33. doi: 10.1016/j.respe.2010.06.169. Epub 2010 Nov 25.
2
Application of an automated surveillance-data-analysis system in a laboratory-based early-warning system for detection of an abortion outbreak in mares.自动监测数据分析系统在基于实验室的母马流产疫情早期预警系统中的应用。
Am J Vet Res. 2009 Feb;70(2):247-56. doi: 10.2460/ajvr.70.2.247.
3
Communicable-disease surveillance in New Jersey.新泽西州的传染病监测。
N J Med. 2004 Sep;101(9 Suppl):45-50; quiz 50-2.
4
Applied medical & care compunetics to public health disease surveillance and management: Leveraging external data sources--a key to public health preparedness.将应用医学与护理信息学应用于公共卫生疾病监测与管理:利用外部数据源——公共卫生防范的关键。
Stud Health Technol Inform. 2006;121:151-61.
5
Infectious disease surveillance in North Rhine-Westphalia: first steps in the development of an early warning system.北莱茵-威斯特法伦州的传染病监测:早期预警系统开发的初步步骤。
Int J Hyg Environ Health. 2001 Mar;203(3):195-9. doi: 10.1078/S1438-4639(04)70028-0.
6
Estimating the joint disease outbreak-detection time when an automated biosurveillance system is augmenting traditional clinical case finding.当自动化生物监测系统辅助传统临床病例发现时,估计联合疾病爆发检测时间。
J Biomed Inform. 2008 Apr;41(2):224-31. doi: 10.1016/j.jbi.2007.11.002. Epub 2007 Nov 21.
7
[Comparison between early outbreak detection models and simulated outbreaks of measles in Beijing].[北京麻疹早期疫情检测模型与模拟疫情的比较]
Zhonghua Liu Xing Bing Xue Za Zhi. 2009 Feb;30(2):159-62.
8
[Infection surveillance in North Rhine-Westphalia--standard reports, barometer and early warning system].[北莱茵-威斯特法伦州的感染监测——标准报告、晴雨表和早期预警系统]
Gesundheitswesen. 2003 Dec;65(12):719-23. doi: 10.1055/s-2003-812680.
9
[Application of cumulative sum control chart algorithm in the detection of infectious disease outbreaks].累积和控制图算法在传染病暴发检测中的应用
Zhonghua Liu Xing Bing Xue Za Zhi. 2010 Dec;31(12):1406-9.
10
Surveillance for early detection and monitoring of infectious disease outbreaks associated with bioterrorism.对与生物恐怖主义相关的传染病暴发进行早期检测和监测的监测工作。
Isr Med Assoc J. 2002 Jul;4(7):503-6.

引用本文的文献

1
Using decision fusion methods to improve outbreak detection in disease surveillance.利用决策融合方法提高疾病监测中的疫情检测。
BMC Med Inform Decis Mak. 2019 Mar 5;19(1):38. doi: 10.1186/s12911-019-0774-3.
2
Traditional and syndromic surveillance of infectious diseases and pathogens.传染病和病原体的传统监测与综合征监测。
Int J Infect Dis. 2016 Jul;48:22-8. doi: 10.1016/j.ijid.2016.04.021. Epub 2016 Apr 30.
3
EPIMIC: A Simple Homemade Computer Program for Real-Time EPIdemiological Surveillance and Alert Based on MICrobiological Data.
EPIMIC:一个基于微生物学数据的用于实时流行病学监测和警报的简单自制计算机程序。
PLoS One. 2015 Dec 14;10(12):e0144178. doi: 10.1371/journal.pone.0144178. eCollection 2015.
4
Prediction of high incidence of dengue in the Philippines.预测菲律宾登革热高发。
PLoS Negl Trop Dis. 2014 Apr 10;8(4):e2771. doi: 10.1371/journal.pntd.0002771. eCollection 2014 Apr.
5
Environmental determinant of malaria cases among travellers.旅行者疟疾病例的环境决定因素。
Malar J. 2013 Mar 4;12:87. doi: 10.1186/1475-2875-12-87.