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墨西哥东北部奶牛-小牛系统牛群中牛病毒性腹泻、传染性牛鼻气管炎、钩端螺旋体病和新孢子虫病的群内相关系数和设计效应。

Intraherd correlation coefficients and design effects for bovine viral diarrhoea, infectious bovine rhinotracheitis, leptospirosis and neosporosis in cow-calf system herds in North-eastern Mexico.

机构信息

Facultad de Medicina Veterinaria y Zootecnia, Campus de Ciencias Biológicas y Agropecuarias de la Universidad Autónoma de Yucatán, Km 15.5 carretera Mérida-Xmatkuil, Mérida, Yucatán, Mexico.

出版信息

Prev Vet Med. 2010 Sep 1;96(3-4):272-5. doi: 10.1016/j.prevetmed.2010.07.006. Epub 2010 Aug 6.

Abstract

Knowledge of the intraherd correlation coefficient (ICC) and design (D) effect for infectious diseases could be of interest in sample size calculation and to provide the correct standard errors of prevalence estimates in cluster or two-stage samplings surveys. Information on 813 animals from 48 non-vaccinated cow-calf herds from North-eastern Mexico was used. The ICC for the bovine viral diarrhoea (BVD), infectious bovine rhinotracheitis (IBR), leptospirosis and neosporosis diseases were calculated using a Bayesian approach adjusting for the sensitivity and specificity of the diagnostic tests. The ICC and D values for BVD, IBR, leptospirosis and neosporosis were 0.31 and 5.91, 0.18 and 3.88, 0.22 and 4.53, and 0.11 and 2.68, respectively. The ICC and D values were different from 0 and D greater than 1, therefore large sample sizes are required to obtain the same precision in prevalence estimates than for a random simple sampling design. The report of ICC and D values is of great help in planning and designing two-stage sampling studies.

摘要

对于传染病的组内相关系数(ICC)和设计(D)效应的了解,可能对样本量计算和在群集或两阶段抽样调查中提供正确的流行率估计标准误差很有帮助。本文使用了来自墨西哥东北部 48 个未接种疫苗的奶牛-小牛群的 813 头动物的数据。使用贝叶斯方法调整诊断测试的灵敏度和特异性,计算了牛病毒性腹泻(BVD)、传染性牛鼻气管炎(IBR)、钩端螺旋体病和新孢子虫病的 ICC。BVD、IBR、钩端螺旋体病和新孢子虫病的 ICC 和 D 值分别为 0.31 和 5.91、0.18 和 3.88、0.22 和 4.53,0.11 和 2.68。ICC 和 D 值均不为 0,且 D 值大于 1,因此需要较大的样本量才能获得与随机简单抽样设计相同的流行率估计精度。报告 ICC 和 D 值对于规划和设计两阶段抽样研究非常有帮助。

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