Suppr超能文献

区分蓄意和自然发生的传染病疫情。

Discernment between deliberate and natural infectious disease outbreaks.

作者信息

Dembek Z F, Kortepeter M G, Pavlin J A

机构信息

Department of Medicine, U.S. Army Medical Research Institute of Infectious Diseases, Fort Detrick, MD 21702, USA.

出版信息

Epidemiol Infect. 2007 Apr;135(3):353-71. doi: 10.1017/S0950268806007011. Epub 2006 Aug 8.

Abstract

Public health authorities should be vigilant to the potential for outbreaks deliberately caused by biological agents (bioterrorism). Such events require a rapid response and incorporation of non-traditional partners for disease investigation and outbreak control. The astute application of infectious disease epidemiological principles can promote an enhanced index of suspicion for such events. We discuss epidemiological indicators that should be considered during outbreak investigations, and also examine their application during bioterrorism incidents, an accidental release of an agent, outbreaks of infections that were alleged to have been deliberately initiated, and a model scenario. The Grunow & Finke epidemiological assessment tool is used to examine these historical events and the model scenario. The results received from this analysis, coupled with an understanding of epidemiological clues to unnatural events, and knowledge of how to manage such events, can aid in the improved response and resolution of epidemics.

摘要

公共卫生当局应警惕生物制剂蓄意引发疫情(生物恐怖主义)的可能性。此类事件需要迅速做出反应,并纳入非传统合作伙伴进行疾病调查和疫情控制。敏锐地应用传染病流行病学原理可提高对此类事件的怀疑指数。我们讨论了在疫情调查期间应考虑的流行病学指标,并研究了它们在生物恐怖主义事件、制剂意外泄漏、据称是蓄意引发的感染疫情以及一个模拟场景中的应用。使用格鲁诺和芬克流行病学评估工具来审视这些历史事件和模拟场景。从该分析中获得的结果,再加上对非自然事件流行病学线索的理解以及如何管理此类事件的知识,有助于改进对疫情的应对和解决。

相似文献

1
Discernment between deliberate and natural infectious disease outbreaks.
Epidemiol Infect. 2007 Apr;135(3):353-71. doi: 10.1017/S0950268806007011. Epub 2006 Aug 8.
2
Recalibration of the Grunow-Finke Assessment Tool to Improve Performance in Detecting Unnatural Epidemics.
Risk Anal. 2019 Jul;39(7):1465-1475. doi: 10.1111/risa.13255. Epub 2018 Dec 24.
3
A Systematic Review of Risk Analysis Tools for Differentiating Unnatural From Natural Epidemics.
Mil Med. 2017 Nov;182(11):e1827-e1835. doi: 10.7205/MILMED-D-17-00090.
5
Unusual epidemic events: a new method of early orientation and differentiation between natural and deliberate epidemics.
Public Health. 2012 Jan;126(1):77-81. doi: 10.1016/j.puhe.2011.11.006. Epub 2011 Dec 1.
6
Epidemiologic clues to bioterrorism.
Public Health Rep. 2003 Mar-Apr;118(2):92-8. doi: 10.1093/phr/118.2.92.
9
Using Cell Phone Technology to Investigate a Deliberate Bacillus anthracis Release Scenario.
Health Secur. 2018 Jan/Feb;16(1):22-29. doi: 10.1089/hs.2017.0012. Epub 2018 Jan 19.
10
Syndromic surveillance.
Emerg Infect Dis. 2004 Jul;10(7):1333-4. doi: 10.3201/eid1007.031035.

引用本文的文献

1
Mathematical models and analysis tools for risk assessment of unnatural epidemics: a scoping review.
Front Public Health. 2024 May 2;12:1381328. doi: 10.3389/fpubh.2024.1381328. eCollection 2024.
2
COVID-19 is a natural infectious disease.
J Biosaf Biosecur. 2022 Jun;4(1):38-42. doi: 10.1016/j.jobb.2021.11.001. Epub 2021 Dec 11.
3
The Application of Projection Word Embeddings on Medical Records Scoring System.
Healthcare (Basel). 2021 Sep 29;9(10):1298. doi: 10.3390/healthcare9101298.
4
Analysis of COVID-19 outbreak origin in China in 2019 using differentiation method for unusual epidemiological events.
Open Med (Wars). 2021 Jun 28;16(1):955-963. doi: 10.1515/med-2021-0305. eCollection 2021.
5
Biothreat & One Health: Current scenario & way forward.
Indian J Med Res. 2021 Mar;153(3):257-263. doi: 10.4103/ijmr.IJMR_583_21.
6
Natural outbreaks and bioterrorism: How to deal with the two sides of the same coin?
J Glob Health. 2020 Dec;10(2):020317. doi: 10.7189/jogh.10.020317.
7
Mapping stakeholders and policies in response to deliberate biological events.
Heliyon. 2018 Dec 27;4(12):e01091. doi: 10.1016/j.heliyon.2018.e01091. eCollection 2018 Dec.
9
A Systematic Review of Risk Analysis Tools for Differentiating Unnatural From Natural Epidemics.
Mil Med. 2017 Nov;182(11):e1827-e1835. doi: 10.7205/MILMED-D-17-00090.
10
Forensic Approaches to Detect Possible Agents of Bioterror.
Microbiol Spectr. 2017 Apr;5(2). doi: 10.1128/microbiolspec.EMF-0010-2016.

本文引用的文献

1
2
Role of the microbiology laboratory in infectious disease surveillance, alert and response.
Clin Microbiol Infect. 2005 Apr;11 Suppl 1:3-8. doi: 10.1111/j.1469-0691.2005.01081.x.
3
HEPA/vaccine plan for indoor anthrax remediation.
Emerg Infect Dis. 2005 Jan;11(1):69-76. doi: 10.3201/eid1101.040635.
6
Vets, meds, and zoonotic threats.
Emerg Infect Dis. 2004 Apr;10(4):760-1. doi: 10.3201/eid1004.030805.
7
Infection of man with Bacterium tularense. 1914.
J Infect Dis. 2004 Apr 1;189(7):1321-9. doi: 10.1093/infdis/189.7.1321.
8
Under siege: one state's perspective of the Anthrax events of October/November 2001.
Biosecur Bioterror. 2003;1(1):43-5. doi: 10.1089/15387130360514823.
9
Syndromic surveillance and bioterrorism-related epidemics.
Emerg Infect Dis. 2003 Oct;9(10):1197-204. doi: 10.3201/eid0910.030231.
10
Automated laboratory reporting of infectious diseases in a climate of bioterrorism.
Emerg Infect Dis. 2003 Sep;9(9):1053-7. doi: 10.3201/eid0909.020486.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验