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犬呼肠孤病毒抗体模式:主成分分析在血清流行病学中应用的试验

Reovirus antibody patterns in dogs: a trial for the application of principal component analysis to seroepidemiology.

作者信息

Murakami T, Kato H

出版信息

Natl Inst Anim Health Q (Tokyo). 1975 Spring;15(1):8-14.

PMID:164634
Abstract

In 100 dogs in Morioka and its vicinity serologically surveyed for reovirus infection, there were significant correlations between hemagglutination-inhibiting and neutralizing antibody titers of the same virus types. In order to establish a proper index for the evaluation of infection, principal component analysis was applied to the analysis of data, including standard immune sera. Of nine samples of matrix examined, correlation matrix of 6 variables was suggested to afford the most proper result. Essential information from the original data was accounted for by factor loadings of the first 3 components. The 6 attributes of serum antibody were classified into three groups. In a scatter diagram serum samples were classified also into three major groups corresponding to the three reovirus types, and the serotypic pattern of infection was clearly visualized.

摘要

在盛冈及其周边地区对100只犬进行呼肠孤病毒感染的血清学调查时,同一病毒类型的血凝抑制抗体效价和中和抗体效价之间存在显著相关性。为了建立一个合适的感染评估指标,对包括标准免疫血清在内的数据进行主成分分析。在所检测的9份基质样本中,6个变量的相关矩阵被认为能提供最恰当的结果。原始数据的基本信息由前3个成分的因子载荷来体现。血清抗体的6个属性被分为三组。在散点图中,血清样本也被分为与三种呼肠孤病毒类型相对应的三大组,感染的血清型模式清晰可见。

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