Roepstorff A, Nilsson O, O'Callaghan C J, Oksanen A, Gjerde B, Richter S H, Ortenberg E O, Christensson D, Nansen P, Eriksen L, Medley G F
Danish Centre for Experimental Parasitology, Royal Veterinary and Agricultural University, Copenhagen, Denmark.
Parasitology. 1999 Nov;119 ( Pt 5):521-34. doi: 10.1017/s0031182099004941.
In Denmark, Finland, Iceland, Norway and Sweden, 413 sow herds were randomly selected for sampling. Faeces from pigs of 7 age groups/categories were examined for helminth eggs (11,233 individual samples), and an accompanying questionnaire was completed at each visit. In total, 1138 pigs on 230 farms were found to be positive for Ascaris suum. Considerable differences in the occurrence of A. suum could be observed directly for several of 20 independent variables at the herd or category level. However, given that univariate analyses may be severely affected by confounding of covariates resulting in spurious inference, additional multivariate analyses were undertaken. An ordinary logistic regression on Ascaris positive/negative farms showed that Denmark had the highest frequency of infected herds, while Iceland and Finland had the lowest frequencies and that herds using 'late weaning' and 'Class 2' drugs (pyrantel, levamisole) were most often infected. Because many herds were found to be totally negative for A. suum, mixed hierarchical logistic-normal regression models (both the penalized quasi-likelihood and the Markov Chain Monte Carlo methods) were developed for both a full (all herds) and a reduced (the 230 infected herds) data set using either a cut-off of > 0 eggs per gram (epg) or > 200 epg to counter for false-positive egg counts. Estimates for identical models, but where the animal level variance was constrained to the binomial assumption, were also calculated. Significant covariates were robust to model development with 'Age group', 'Country', 'Weaning age', 'Water system' and simple interactions between the latter two and 'Age group' being significantly associated with the occurrence of A. suum, while all variables concerning anthelmintic drug, anthelmintic strategy, floor type, bedding, dung removal, washing and disinfection were not. These findings are discussed in the light of the complex relationship between A. suum and its pig host.
在丹麦、芬兰、冰岛、挪威和瑞典,随机选取了413个母猪群进行采样。对7个年龄组/类别的猪的粪便进行了蛔虫卵检测(共11233份个体样本),每次采样时还填写了一份随附问卷。总共在230个农场的1138头猪中检测出猪蛔虫呈阳性。在畜群或类别层面的20个独立变量中,有几个变量的猪蛔虫感染率存在显著差异。然而,鉴于单变量分析可能会受到协变量混杂的严重影响,从而导致虚假推断,因此进行了额外的多变量分析。对蛔虫阳性/阴性农场进行的普通逻辑回归分析表明,丹麦感染畜群的频率最高,而冰岛和芬兰的频率最低,并且采用“晚断奶”和“2类”药物(吡喹酮、左旋咪唑)的畜群感染最为常见。由于发现许多畜群的猪蛔虫检测结果完全为阴性,因此针对完整数据集(所有畜群)和简化数据集(230个感染畜群),分别使用每克粪便中蛔虫卵>0个(epg)或>200个epg的临界值,开发了混合分层逻辑正态回归模型(惩罚拟似然法和马尔可夫链蒙特卡罗法),以应对蛔虫卵计数的假阳性情况。还计算了相同模型的估计值,但将动物水平的方差限制在二项式假设范围内。显著的协变量在模型开发中具有稳健性,“年龄组”“国家”“断奶年龄”“供水系统”以及后两者与“年龄组”之间的简单交互作用与猪蛔虫的发生显著相关,而所有与驱虫药物、驱虫策略、地板类型、垫料、粪便清除、清洗和消毒有关的变量均无显著关联。结合猪蛔虫与其猪宿主之间的复杂关系对这些发现进行了讨论。