Suppr超能文献

回顾反推技术及其为缓解策略提供信息的潜力,并将其应用于非传染性急性传染病。

A review of back-calculation techniques and their potential to inform mitigation strategies with application to non-transmissible acute infectious diseases.

作者信息

Egan Joseph R, Hall Ian M

出版信息

J R Soc Interface. 2015 May 6;12(106). doi: 10.1098/rsif.2015.0096.

Abstract

Back-calculation is a process whereby generally unobservable features of an event leading to a disease outbreak can be inferred either in real-time or shortly after the end of the outbreak. These features might include the time when persons were exposed and the source of the outbreak. Such inferences are important as they can help to guide the targeting of mitigation strategies and to evaluate the potential effectiveness of such strategies. This article reviews the process of back-calculation with a particular emphasis on more recent applications concerning deliberate and naturally occurring aerosolized releases. The techniques can be broadly split into two themes: the simpler temporal models and the more sophisticated spatio-temporal models. The former require input data in the form of cases' symptom onset times, whereas the latter require additional spatial information such as the cases' home and work locations. A key aspect in the back-calculation process is the incubation period distribution, which forms the initial topic for consideration. Links between atmospheric dispersion modelling, within-host dynamics and back-calculation are outlined in detail. An example of how back-calculation can inform mitigation strategies completes the review by providing improved estimates of the duration of antibiotic prophylaxis that would be required in the response to an inhalational anthrax outbreak.

摘要

反向推算是一种过程,通过该过程可以实时或在疾病爆发结束后不久推断出导致疾病爆发的事件中通常不可观察的特征。这些特征可能包括人员暴露的时间和爆发源。此类推断很重要,因为它们有助于指导缓解策略的目标设定,并评估这些策略的潜在有效性。本文回顾了反向推算的过程,特别强调了有关故意和自然发生的气溶胶释放的最新应用。这些技术大致可分为两个主题:较简单的时间模型和更复杂的时空模型。前者需要以病例症状出现时间的形式输入数据,而后者需要额外的空间信息,如病例的家庭和工作地点。反向推算过程中的一个关键方面是潜伏期分布,这是首先要考虑的主题。详细概述了大气扩散模型、宿主内动态和反向推算之间的联系。通过提供对吸入性炭疽爆发应对中所需抗生素预防持续时间的改进估计,一个反向推算如何为缓解策略提供信息的例子完成了本次综述。

相似文献

9
Modeling epidemics dynamics on heterogenous networks.在异质网络上对传染病动力学进行建模。
J Theor Biol. 2010 May 21;264(2):197-204. doi: 10.1016/j.jtbi.2010.01.029. Epub 2010 Feb 1.
10
A foresight vision for infectious diseases in Africa.对非洲传染病的前瞻性展望。
Onderstepoort J Vet Res. 2012 Jun 20;79(2):459. doi: 10.4102/ojvr.v79i2.459.

引用本文的文献

10
Estimated prevalence of undiagnosed atrial fibrillation in the United States.美国未确诊心房颤动的估计患病率。
PLoS One. 2018 Apr 12;13(4):e0195088. doi: 10.1371/journal.pone.0195088. eCollection 2018.

本文引用的文献

4
Barrow-in-Furness: a large community legionellosis outbreak in the UK.巴罗因弗内斯:英国的一次大型社区军团病暴发
Epidemiol Infect. 2014 Aug;142(8):1763-77. doi: 10.1017/S0950268813002483. Epub 2013 Oct 11.
8
What is the incubation period for listeriosis?李斯特菌病的潜伏期是多久?
BMC Infect Dis. 2013 Jan 10;13:11. doi: 10.1186/1471-2334-13-11.

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