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一种评估针对大流行性流感的不同防范规划政策成本效益的方法。

A method for evaluating the cost-benefit of different preparedness planning policies against pandemic influenza.

作者信息

Panovska-Griffiths Jasmina, Grieco Luca, van Leeuwen Edwin, Grove Peter, Utley Martin

机构信息

Clinical Operational Research Unit, University College London, London, United Kingdom.

Department of Applied Health Research, University College London, London, United Kingdom.

出版信息

MethodsX. 2020 Mar 19;7:100870. doi: 10.1016/j.mex.2020.100870. eCollection 2020.

DOI:10.1016/j.mex.2020.100870
PMID:32280602
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7139115/
Abstract

•Our work presents a unifying method to calculate the net-benefit of different preparedness policies against different pandemic influeunza strains. Unlike previous methods, which have focused on evaluating specific strategies against specific pandemics, our method allows assessment of mass immunisation strategies in presence and absence of antiviral drugs for a large range of pandemic influenza strain characteristics and programme features. Overall, the model described here combines two parts to evaluate different preparedness planning policies against pandemic influenza.•The first part is adaptation of an existing transmission model for seasonal influenza to include generalisation across large number of pandemic influenza scenarios.•The second part is development of a tailor-made health economic model devised in collaboration with colleagues at the UK Department of Health and Social Care.

摘要

•我们的工作提出了一种统一的方法,用于计算针对不同大流行性流感毒株的不同防范政策的净效益。与以往专注于评估针对特定大流行的特定策略的方法不同,我们的方法能够在存在和不存在抗病毒药物的情况下,针对大范围的大流行性流感毒株特征和计划特点,评估大规模免疫策略。总体而言,此处描述的模型结合了两个部分来评估针对大流行性流感的不同防范规划政策。

•第一部分是对现有的季节性流感传播模型进行调整,以涵盖大量大流行性流感情景。

•第二部分是与英国卫生和社会保健部的同事合作设计的定制健康经济模型的开发。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db46/7139115/241f99190cd0/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db46/7139115/241f99190cd0/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db46/7139115/241f99190cd0/fx1.jpg

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本文引用的文献

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J Theor Biol. 2019 Nov 21;481:223-232. doi: 10.1016/j.jtbi.2019.05.003. Epub 2019 May 4.
3
fluEvidenceSynthesis: An R package for evidence synthesis based analysis of epidemiological outbreaks.
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PLoS Comput Biol. 2017 Nov 20;13(11):e1005838. doi: 10.1371/journal.pcbi.1005838. eCollection 2017 Nov.
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Assessing optimal target populations for influenza vaccination programmes: an evidence synthesis and modelling study.评估流感疫苗接种计划的最佳目标人群:一项证据综合和建模研究。
PLoS Med. 2013 Oct;10(10):e1001527. doi: 10.1371/journal.pmed.1001527. Epub 2013 Oct 8.
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Social contacts and mixing patterns relevant to the spread of infectious diseases.与传染病传播相关的社交接触和混合模式。
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