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Model answers or trivial pursuits? The role of mathematical models in influenza pandemic preparedness planning

机译:模特答案还是琐碎的追求?数学模型在流感大流行防范计划中的作用

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摘要

The panzootic of H5N1 influenza in birds has raised concerns that the virus will mutate to spread more readily in people, leading to a human pandemic. Mathematical models have been used to interpret past pandemics and outbreaks, and to thus model possible future pandemic scenarios and interventions. We review historical influenza outbreak and transmission data, and discuss the way in which modellers have used such sources to inform model structure and assumptions. We suggest that urban attack rates in the 1918-1919 pandemic were constrained by prior immunity, that R(0) for influenza is higher than often assumed, and that control of any future pandemic could be difficult in the absence of significant prior immunity. In future, modelling assumptions, parameter estimates and conclusions should be tested against as many relevant data sets as possible. To this end, we encourage researchers to access FluWeb, an on-line influenza database of historical pandemics and outbreaks.
机译:禽类中H5N1流感的大流行引起了人们的担忧,人们担心该病毒会突变以更容易在人中传播,从而导致人类大流行。数学模型已用于解释过去的大流行和疫情,从而为将来可能的大流行情况和干预措施建模。我们回顾了历史性流感爆发和传播数据,并讨论了建模者使用此类来源来告知模型结构和假设的方式。我们建议1918-1919年大流行中的城市发作率受到先前免疫的限制,流感的R(0)比通常假定的要高,并且在没有明显的先前免疫的情况下,很难控制任何未来的大流行。将来,应该根据尽可能多的相关数据集来测试建模假设,参数估计和结论。为此,我们鼓励研究人员访问FluWeb,这是一个历史性大流行和暴发的在线流感数据库。

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