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2009 年 H1N1 流感大流行在欧洲的时空动态决定因素:对实时建模的启示。

Determinants of the spatiotemporal dynamics of the 2009 H1N1 pandemic in Europe: implications for real-time modelling.

机构信息

Bruno Kessler Foundation, Trento Povo, Italy.

出版信息

PLoS Comput Biol. 2011 Sep;7(9):e1002205. doi: 10.1371/journal.pcbi.1002205. Epub 2011 Sep 29.

Abstract

Influenza pandemics in the last century were characterized by successive waves and differences in impact and timing between different regions, for reasons not clearly understood. The 2009 H1N1 pandemic showed rapid global spread, but with substantial heterogeneity in timing within each hemisphere. Even within Europe substantial variation was observed, with the UK being unique in experiencing a major first wave of transmission in early summer and all other countries having a single major epidemic in the autumn/winter, with a West to East pattern of spread. Here we show that a microsimulation model, parameterised using data about H1N1pdm collected by the beginning of June 2009, explains the occurrence of two waves in UK and a single wave in the rest of Europe as a consequence of timing of H1N1pdm spread, fluxes of travels from US and Mexico, and timing of school vacations. The model provides a description of pandemic spread through Europe, depending on intra-European mobility patterns and socio-demographic structure of the European populations, which is in broad agreement with observed timing of the pandemic in different countries. Attack rates are predicted to depend on the socio-demographic structure, with age dependent attack rates broadly agreeing with available serological data. Results suggest that the observed heterogeneity can be partly explained by the between country differences in Europe: marked differences in school calendars, mobility patterns and sociodemographic structures. Moreover, higher susceptibility of children to infection played a key role in determining the epidemiology of the 2009 pandemic. Our work shows that it would have been possible to obtain a broad-brush prediction of timing of the European pandemic well before the autumn of 2009, much more difficult to achieve with simpler models or pre-pandemic parameterisation. This supports the use of models accounting for the structure of complex modern societies for giving insight to policy makers.

摘要

上世纪的流感大流行具有连续波的特点,不同地区的影响和时间存在差异,原因尚不清楚。2009 年 H1N1 大流行显示出快速的全球传播,但在每个半球内的时间上存在很大的异质性。即使在欧洲,也观察到了很大的差异,英国是唯一在初夏经历主要传播第一波的国家,而其他所有国家在秋季/冬季都只有一次主要流行,传播模式是从西向东。在这里,我们展示了一个微观模拟模型,该模型使用到 2009 年 6 月初收集的关于 H1N1pdm 的数据进行参数化,可以解释英国出现两波疫情而欧洲其他国家仅出现一波疫情的原因,包括 H1N1pdm 传播的时间、来自美国和墨西哥的旅行通量以及学校假期的时间。该模型提供了对整个欧洲大流行传播的描述,这取决于欧洲内部的流动模式和欧洲人口的社会人口结构,与不同国家观察到的大流行时间基本一致。攻击率预计取决于社会人口结构,年龄相关的攻击率与现有血清学数据大致一致。结果表明,观察到的异质性可以部分解释为欧洲国家之间的差异:学校日历、流动模式和社会人口结构存在明显差异。此外,儿童对感染的易感性较高在确定 2009 年大流行的流行病学方面发挥了关键作用。我们的工作表明,早在 2009 年秋季之前,就有可能对欧洲大流行的时间进行广泛的预测,而使用更简单的模型或大流行前参数化则更难实现。这支持使用考虑复杂现代社会结构的模型为决策者提供深入的了解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbef/3182874/eaf702be169d/pcbi.1002205.g001.jpg

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