[The epidemic process in infections before and after active immunization. I. Comparison of long-term monitoring of the disease with a simple mathematical model].

J Mimra, J Farník
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引用次数: 0

Abstract

In the first part of this paper the authors used for demographic data and morbidity data concerning measles, parotitis, rubella and chickenpox in the Sokolov district a model of exponential distribution, in particular its distribution function. The authors introduced the concept of mean population year. They tested the theoretical assumption that in different infections in long-term average the annual number of infected subjects is equal and equals the mean population year. They found that the delta parameter which determines the shape of the exponential regression curve and is the measure of the rate of spread of a given infection, expressed at the same time numerically by the number of mean population years the mean number of susceptibles which remain permanently in a given population.

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主动免疫前后感染的流行过程。1 .疾病长期监测与简单数学模型的比较。
在本文的第一部分中,作者对索科洛夫地区的麻疹、腮腺炎、风疹和水痘的人口统计数据和发病率数据采用了指数分布模型,特别是指数分布函数。引入了平均人口年的概念。他们测试了一个理论假设,即在不同的感染中,长期平均每年感染受试者的数量是相等的,并且等于平均人口年。他们发现,决定指数回归曲线形状的δ参数是对特定感染传播速度的测量,同时用平均人口年数表示即在特定人口中永久存在的易感人群的平均人数。
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