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使用InfluSim进行流感大流行干预规划:药物和非药物干预措施

Influenza pandemic intervention planning using InfluSim: pharmaceutical and non- pharmaceutical interventions.

作者信息

Duerr Hans P, Brockmann Stefan O, Piechotowski Isolde, Schwehm Markus, Eichner Martin

机构信息

Department of Medical Biometry, University of Tübingen, Germany.

出版信息

BMC Infect Dis. 2007 Jul 13;7:76. doi: 10.1186/1471-2334-7-76.

Abstract

BACKGROUND

Influenza pandemic preparedness plans are currently developed and refined on national and international levels. Much attention has been given to the administration of antiviral drugs, but contact reduction can also be an effective part of mitigation strategies and has the advantage to be not limited per se. The effectiveness of these interventions depends on various factors which must be explored by sensitivity analyses, based on mathematical models.

METHODS

We use the freely available planning tool InfluSim to investigate how pharmaceutical and non-pharmaceutical interventions can mitigate an influenza pandemic. In particular, we examine how intervention schedules, restricted stockpiles and contact reduction (social distancing measures and isolation of cases) determine the course of a pandemic wave and the success of interventions.

RESULTS

A timely application of antiviral drugs combined with a quick implementation of contact reduction measures is required to substantially protract the peak of the epidemic and reduce its height. Delays in the initiation of antiviral treatment (e.g. because of parsimonious use of a limited stockpile) result in much more pessimistic outcomes and can even lead to the paradoxical effect that the stockpile is depleted earlier compared to early distribution of antiviral drugs.

CONCLUSION

Pharmaceutical and non-pharmaceutical measures should not be used exclusively. The protraction of the pandemic wave is essential to win time while waiting for vaccine development and production. However, it is the height of the peak of an epidemic which can easily overtax general practitioners, hospitals or even whole public health systems, causing bottlenecks in basic and emergency medical care.

摘要

背景

目前正在国家和国际层面制定并完善流感大流行防范计划。人们已高度关注抗病毒药物的管理,但减少接触也可成为缓解策略的有效组成部分,且其优势在于本身不受限制。这些干预措施的有效性取决于多种因素,必须通过基于数学模型的敏感性分析来探究。

方法

我们使用免费可得的规划工具InfluSim来研究药物和非药物干预措施如何缓解流感大流行。特别是,我们考察干预时间表、有限储备以及减少接触(社交距离措施和病例隔离)如何决定大流行波的进程以及干预措施的成效。

结果

需要及时应用抗病毒药物并迅速实施减少接触措施,以大幅延长疫情高峰并降低其峰值高度。抗病毒治疗启动延迟(例如由于对有限储备的节约使用)会导致更为悲观的结果,甚至可能产生自相矛盾的效应,即与早期分发抗病毒药物相比,储备更早耗尽。

结论

不应仅采用药物和非药物措施。延长疫情波对于在等待疫苗研发和生产期间赢得时间至关重要。然而,正是疫情高峰的峰值高度容易使全科医生、医院甚至整个公共卫生系统不堪重负,导致基础医疗和急救医疗出现瓶颈。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a43d/1939851/52ff39ac38d1/1471-2334-7-76-1.jpg

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