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Mathematical Modeling for the Assessment of the Pandemic Potential of Influenza A: the Present State and Future Possibilities.

机译:评估甲型流感大流行潜力的数学模型:现状和未来可能性。

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摘要

The most lethal influenza pandemic in human history occurred in 1918 in Spain and resulted in the death of over 50 million people. The influenza A/H1N1 virus responsible for these deaths was both exceptionally pathogenic and highly infectious, a deadly combination that the world has not seen since (7). Therefore, when news emerged that a new highly pathogenic strain of influenza H5N1 was crossing over from birds to humans in East Asia, it became necessary to assess its pandemic potential. Two teams---one at the University of Wisconsin-Madison and one at the Erasmus Medical Center in Rotterdam---used different methods to mutate the H5N1 virus into an easily transmissible strain and both were successful. They discovered that only five mutations are needed for this highly pathogenic virus to become transmissible between humans and concluded that H5N1 poses a risk for human pandemic influenza (1-3). It is therefore of increasing importance that the mechanisms that underlie H5N1's virulence and transmission capabilities are better understood. Mathematical modeling has emerged in the last two decades as an innovative means of analyzing biological systems, including virus-host interactions. It can reveal important dynamical relationships and possibly predict the pandemic potential of emerging viral strains. Here I summarize the major factors that are believed to affect the virulence and transmission capabilities of influenza strains with pandemic potential and review the models of influenza A that have been developed in recent decades, focusing on the each models usefulness in assessing pandemic influenza. I discuss the research and modeling efforts that are necessary to better capture the dynamics of highly pathogenic serotypes in a mathematical model and the challenges that await those who attempt to do so. Finally, I explore the possibility of creating a mathematical model that can predict whether or not a particular strain of virus is a pandemic threat.
机译:人类历史上最致命的流感大流行发生在1918年的西班牙,导致超过5000万人死亡。造成这些死亡的A / H1N1流感病毒既具有极高的致病性,又具有高度传染性,这是全世界以来从未见过的致命组合(7)。因此,当有消息说一种新的高致病性的H5N1流感毒株正在东亚地区从鸟类传播到人类时,有必要评估其大流行潜力。有两个团队-一个在威斯康星大学麦迪逊分校,一个在鹿特丹的伊拉斯姆斯医学中心-使用不同的方法将H5N1病毒突变为易于传播的毒株,并且都成功。他们发现,这种高致病性病毒在人类之间传播只需五个突变,并得出结论,H5N1构成了人类大流行性流感的风险(1-3)。因此,越来越重要的是,更好地理解构成H5N1毒力和传播能力的机制。在过去的二十年中,数学建模已经成为分析生物系统(包括病毒与宿主之间的相互作用)的一种创新手段。它可以揭示重要的动力学关系,并可能预测新兴病毒株的大流行潜力。在这里,我总结了被认为会影响具有大流行潜力的流感病毒株的毒力和传播能力的主要因素,并回顾了近几十年来开发的甲型流感病毒模型,重点介绍了每种模型在评估大流行性流感中的有用性。我讨论了在数学模型中更好地捕捉高致病性血清型动力学所必需的研究和建模工作,以及尝试这样做的人们所面临的挑战。最后,我探讨了创建数学模型的可能性,该数学模型可以预测特定病毒株是否构成大流行病威胁。

著录项

  • 作者

    Clark, Sarah.;

  • 作者单位

    The George Washington University.;

  • 授予单位 The George Washington University.;
  • 学科 Health Sciences General.;Health Sciences Public Health.;Health Sciences Immunology.
  • 学位 M.S.
  • 年度 2013
  • 页码 52 p.
  • 总页数 52
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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