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Spatial and temporal patterns of genetic variation of H1N1 influenza viruses in China in the 2009 pandemic.

机译:2009年中国大流行H1N1流感病毒遗传变异的时空格局。

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摘要

The 2009-2010 H1N1 influenza pandemic was caused by a novel strain, made up of genetic material from human, swine and avian influenza viruses. While the 2009 H1N1 strain originated in Mexico, Southeast Asia, and southern China in particular, remains the putative epicenter of new viral emergence. Using genetic and epidemiological information from 433 H1N1 viral isolates taken during the 2009-2010 pandemic in China, we examined the spatial and temporal characteristics of viruses in concert with their genetic characteristics, identifying the spatial and temporal diffusion patterns. Then we applied Moran's I test to see if the gene distances of the H1N1 virus are spatially autocorrelated. We then explored the suspected factors driving the evolution of H1N1 viruses during the pandemic. Regression methods were applied to test the association of H1N1 virus's spatial and temporal patterns with environmental, social and biological variables. Temperature, humidity, railway transportation, population density, morbidity of H1N1, population's accessibility to tap water, sampled patient's age are some of the variables considered in the regression.;We find that during the 2009- 2010 pandemic H1N1 influenza viruses evolved more through time, that further evolved strains have a trend of spreading from Northern China to Southern China, and continued evolving in the Southern China. Among the 8 genes of H1N1 virus, the HA gene and MP gene showed statistically significant positive spatial autocorrelation, showing that the genetic distances of the genes are related to the genetic distances of those genes in nearby isolates. Statistically significant positive spatial autocorrelation is also shown for the total 8 genes' genetic distance. Results of the spatial regression models indicate that the influence of environmental, social and biological variables varies not only across space but also by gene segment under consideration.;We find that population, environment and behavior are all playing a role in the evolution of H1N1 viruses in the 2009 pandemic in China. Thus understanding the dynamics of H1N1 incidence and the ecology of H1N1 virus evolution in China can be enlightening in establishing public health policy.
机译:2009-2010年H1N1流感大流行是由一种新型毒株引起的,该毒株由人类,猪和禽流感病毒的遗传物质组成。尽管2009年H1N1毒株起源于墨西哥,东南亚,尤其是中国南部,但仍是新病毒出现的假定中心。利用从2009年至2010年中国大流行期间采集的433株H1N1病毒分离株的遗传和流行病学信息,我们结合其遗传特征检查了病毒的时空特征,确定了时空扩散模式。然后我们应用Moran's I测试来检验H1N1病毒的基因距离是否在空间上自相关。然后,我们探讨了在大流行期间驱动H1N1病毒进化的可疑因素。回归方法用于检验H1N1病毒的时空格局与环境,社会和生物学变量之间的关系。温度,湿度,铁路运输,人口密度,H1N1发病率,人口自来水的可及性,样本患者的年龄是回归分析中考虑的一些变量。进一步进化的菌株有从华北传播到华南的趋势,并在华南持续发展。在H1N1病毒的8个基因中,HA基因和MP基因显示出统计学上显着的正空间自相关,表明该基因的遗传距离与附近分离株中那些基因的遗传距离有关。还显示了总共8个基因的遗传距离具有统计学意义的正空间自相关。空间回归模型的结果表明,环境,社会和生物学变量的影响不仅在空间范围内而且在所考虑的基因区段上都不同。;我们发现种群,环境和行为都在H1N1病毒的进化中起作用在2009年的中国大流行中。因此,了解中国H1N1发病的动态和H1N1病毒进化的生态学对建立公共卫生政策具有启发性。

著录项

  • 作者

    Shang, Yiqing.;

  • 作者单位

    The University of Iowa.;

  • 授予单位 The University of Iowa.;
  • 学科 Geography.;Pathology.;Public health.
  • 学位 M.A.
  • 年度 2014
  • 页码 64 p.
  • 总页数 64
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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