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Measured Dynamic Social Contact Patterns Explain the Spread of H1N1v Influenza

机译:测得的动态社会接触模式解释了H1N1v流感的传播

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Patterns of social mixing are key determinants of epidemic spread. Here we present the results of an internet-based social contact survey completed by a cohort of participants over 9,000 times between July 2009 and March 2010, during the 2009 H1N1v influenza epidemic. We quantify the changes in social contact patterns over time, finding that school children make 40% fewer contacts during holiday periods than during term time. We use these dynamically varying contact patterns to parameterise an age-structured model of influenza spread, capturing well the observed patterns of incidence; the changing contact patterns resulted in a fall of approximately 35% in the reproduction number of influenza during the holidays. This work illustrates the importance of including changing mixing patterns in epidemic models. We conclude that changes in contact patterns explain changes in disease incidence, and that the timing of school terms drove the 2009 H1N1v epidemic in the UK. Changes in social mixing patterns can be usefully measured through simple internet-based surveys.
机译:社会混合的模式是流行病传播的关键决定因素。在此,我们介绍了由一组参与者在2009年H1N1v流感流行期间于2009年7月至2010年3月完成的9,000次以上的基于互联网的社交联系调查的结果。我们量化了社交联系方式随时间的变化,发现小学生在假期期间的联系比学期期间少40%。我们使用这些动态变化的联系方式来参数化流感传播的年龄结构模型,并很好地捕获观察到的发病方式。接触方式的变化导致假日期间流感的繁殖数量下降了约35%。这项工作说明了在流行病模型中包括改变混合模式的重要性。我们得出的结论是,接触方式的变化可以解释疾病发病率的变化,而学期的紧迫推动了2009年H1N1v在英国的流行。通过简单的基于互联网的调查,可以有效地衡量社会混合模式的变化。

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