Multivariate analysis of the role of school-attendance status in the introduction of variola minor into the household

Richard L. Morrill, Juan J. Angulo
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引用次数: 3

Abstract

A discriminant-function analysis was applied to the set of 169 cases introducing variola minor into the corresponding households during the 1956 epidemic occurring in the capital city of Braganca Paulista County, Brazil. The analysis was aimed at discovering how well the four groups of households whose introductory cases were either an adult, a JT-school pupil, a JG-school pupil or a preschooler could be distinguished on the basis of six selected variables: (1, 2) relative location (x,y coordinates of the dwelling): (3) time (in days) from onset of the first case of the epidemic; (4) whether vaccinated or not; (5) total susceptible population in the household, and (6) distance from the residence of an introductory case to the residences of the case which started the chain. Prior allocation of introductory cases to school-attendance status groups was justified since discriminant-function analysis was able to distinguish among the four groups.

Cluster analysis was applied to the same data, in order to partition the cases into as homogeneous groups as possible, regardless of their actual status as pupils, adults or preschoolers. The results suggest that the simple division of cases by school-attendance status, while significant, was probably not the most meaningful. A cluster analysis was further applied to cases (excluding those from two schools), using only three variables: (1, 2) relative location and (2) time from onset. This analysis proved useful as a means of identifying many of the real subchains of contagion.

学校出勤率对家庭引入未成年天花病毒的影响的多变量分析
对1956年发生在巴西首都布拉干卡保利斯塔县的169例将小天花带入相应家庭的病例进行了判别函数分析。分析的目的是发现,根据六个选定的变量(1、2)相对位置(住宅的x、y坐标);(3)从第一个流行病病例开始的时间(以天为单位),如何区分四组家庭,其介绍病例要么是成人,要么是jt学校的学生,要么是jg学校的学生或学龄前儿童;(四)是否接种;(5)该家庭中的易感人群总数,(6)从介绍性病例的住所到开始连锁病例的住所的距离。由于判别函数分析能够区分四组,因此预先将介绍性病例分配给上学状况组是合理的。聚类分析应用于相同的数据,以便将病例划分为尽可能均匀的组,而不管他们的实际状态是小学生,成年人还是学龄前儿童。结果表明,简单地按出勤率划分病例,虽然很重要,但可能不是最有意义的。对病例(不包括来自两所学校的病例)进一步应用聚类分析,仅使用三个变量:(1,2)相对位置和(2)发病时间。这种分析被证明是识别许多真正的传染亚链的有效手段。
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