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首页> 外文期刊>Veterinary Parasitology >The contribution of simple random sampling to observed variations in faecal egg counts.
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The contribution of simple random sampling to observed variations in faecal egg counts.

机译:简单随机抽样对观察到的粪便卵数变化的贡献。

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摘要

It has been over 100 years since the classical paper published by Gosset in 1907, under the pseudonym "Student", demonstrated that yeast cells suspended in a fluid and measured by a haemocytometer conformed to a Poisson process. Similarly parasite eggs in a faecal suspension also conform to a Poisson process. Despite this there are common misconceptions how to analyse or interpret observations from the McMaster or similar quantitative parasitic diagnostic techniques, widely used for evaluating parasite eggs in faeces. The McMaster technique can easily be shown from a theoretical perspective to give variable results that inevitably arise from the random distribution of parasite eggs in a well mixed faecal sample. The Poisson processes that lead to this variability are described and illustrative examples of the potentially large confidence intervals that can arise from observed faecal eggs counts that are calculated from the observations on a McMaster slide. Attempts to modify the McMaster technique, or indeed other quantitative techniques, to ensure uniform egg counts are doomed to failure and belie ignorance of Poisson processes. A simple method to immediately identify excess variation/poor sampling from replicate counts is provided.
机译:自1907年Gosset以假名“ Student”发表经典论文以来,已有100多年的历史了。事实证明,悬浮在液体中并由血细胞计数器测量的酵母细胞符合泊松过程。同样,粪便悬浮液中的寄生虫卵也符合泊松过程。尽管如此,仍然存在常见的误解,即如何分析或解释McMaster或类似的定量寄生虫诊断技术的观察结果,这些技术广泛用于评估粪便中的寄生虫卵。 McMaster技术可以很容易地从理论角度进行显示,以给出可变的结果,这些结果不可避免地源于混合良好的粪便样品中寄生虫卵的随机分布。描述了导致这种可变性的Poisson过程,并举例说明了可能的大置信区间,这些置信区间可能是根据McMaster幻灯片上的观测值计算出的粪便卵数而得出的。尝试修改McMaster技术或其他定量技术,以确保统一的鸡蛋计数注定会导致Poisson过程的失败和无知。提供了一种简单的方法,可以立即从重复计数中识别出过多的变异/不良采样。

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