Statistical models for estimating prevalence and incidence of parasitic diseases.
Statistical models for estimating prevalence and incidence of parasitic diseases.
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DOI：
10.1177/096228029300200102
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发表时间：
1993-01-01
影响因子：
2.3
通讯作者：
van Oortmarssen, G J
中科院分区：
文献类型：
--
作者：
de Vlas, S J;Nagelkerke, N J;van Oortmarssen, G J
寄生虫感染的患病率和发病率的估计被认为是。由于这种感染的可检测性不是100%，而且可能还取决于其强度，因此通常需要统计方法来得出有意义的结果。区分在（人类）宿主内繁殖的寄生虫和不繁殖的寄生虫似乎是至关重要的。在文献中讨论的一些模型的概述。这些模型确实可以用于评估感染的可检测性，它们表明，观察可能会导致相当大的误解“真正的”患病率和发病率。
The estimation of prevalence and incidence of parasitic infections is considered. As the detectability of such infections is not 100% and may furthermore depend on their intensity, statistical methods are often required to arrive at meaningful results. It appears to be essential to distinguish between parasites that multiply within the (human) host and those that do not. An overview of some models discussed in the literature is presented. These models can indeed be used in assessing detectability of infection, and they indicate that observations may lead to considerable misinterpretation of 'true' prevalences and incidences.