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• W2943371847 abstract "This study investigated the impact of variability in Parascaris spp. and strongyle faecal egg counts (FEC) from foals on treatment decision-making and detection of a patent infection. A single faecal sample was collected once daily for three days from 53 foals and a FEC was performed on three separate portions of each sample (total of nine egg counts per foal). Differences in the decision to administer an anthelmintic using the results of a single count (C1), the mean of three (X¯ 1–3) or nine counts (X¯ 1–9) and the upper 5% confidence limit of the gamma confidence interval (CI) of the estimate of the distribution mean (μ) from three (UCL1–3) and nine counts (UCL1–9) were determined for a range of egg count thresholds. The UCL1–9 was used as the best estimate of μ, hypothesis testing for treatment and the comparison of treatment decision-making using C1, X¯ 1–3, X¯ 1–9 and UCL1–3. The results of this study demonstrated that a point estimate (C1 or X¯ 1–3) was of limited value for estimating the distribution mean of egg counts in faeces and there was overall poor agreement in treatment decision-making for individual foals using C1 compared with UCL1–9. Of the foals with C1 of zero eggs per gram, 54% and 47% had Parascaris and strongyle eggs in subsequent counts, respectively. The egg density in faeces is inhomogeneous, resulting in considerable variability in egg count results for an individual foal: between faecal piles, different portions of a faecal pile and days. The use of the negative binomial distribution CI for μ takes this variability into account and is recommended for use when interpreting FEC data from horses." @default.
• W2943371847 created "2019-05-09" @default.
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• W2943371847 date "2019-06-01" @default.
• W2943371847 modified "2023-10-16" @default.
• W2943371847 title "The application of faecal egg count results and statistical inference for clinical decision making in foals" @default.
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• W2943371847 doi "https://doi.org/10.1016/j.vetpar.2019.04.010" @default.
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