McDowell S W J, Menzies F D, McBride S H, Oza A N, McKenna J P, Gordon A W, Neill S D
Veterinary Sciences Division, Agri-Food and Biosciences Institute, Stoney Road, Stormont, Belfast BT4 3SD, UK.
Prev Vet Med. 2008 May 15;84(3-4):261-76. doi: 10.1016/j.prevetmed.2007.12.010. Epub 2008 Feb 4.
Risk factors for Campylobacter infection in conventional broiler flocks in the time period up to the first removal of birds to slaughter were investigated over a maximum of five consecutive production cycles in a cohort of 88 broiler farms in Northern Ireland. Samples for Campylobacter culture, which consisted of 14 cloacal swabs per flock, were collected from one house on each farm prior to the first depopulation of birds. In total 388 flocks were sampled, of which 163 tested positive for Campylobacter spp. (42.0%; 95% CI 35.1-48.9%). Data on farm and flock variables were obtained from questionnaires and random-effects logistic regression modelling used to investigate the association between these and the Campylobacter status of flocks. Six variables, all of which were significant at p<0.05, were included in the final multivariable model. These included a combined variable on the presence of rodents on farms, which showed an increased odds of infection in flocks where the farmer reported having observed rodents during the production cycle (OR=2.1) and/or where rodent droppings were observed at the sampling visit (OR=2.9). Other variables that were significantly associated with an increased odds of infection included the age of the birds at sampling (odds ratio for its linear effect=1.16 for each day of increase in age), season (summer versus other seasons OR=2.0), farms with three or more broiler houses (OR=2.9 compared to those with one house), the frequency of footbath disinfectant changes (OR=2.5 for once weekly and OR=4.0 for less than once weekly compared to twice weekly changes) and a categorical variable on the standard of tidiness and cleanliness of the broiler house ante-room (OR=2.0 and OR=4.9 for flocks from houses with poorer standards). There was no significant evidence of direct carry-over of infection from one production cycle to the next, neither was there evidence of other farm species acting as a source of infection.
在北爱尔兰的88个肉鸡养殖场组成的队列中,在最多连续五个生产周期内,对直至首次将鸡只送去屠宰这段时间内传统肉鸡群弯曲杆菌感染的风险因素进行了调查。弯曲杆菌培养样本由每个鸡群14份泄殖腔拭子组成,在每个农场首次清栏前,从每个农场的一栋鸡舍采集。总共对388个鸡群进行了采样,其中163个弯曲杆菌检测呈阳性(42.0%;95%置信区间35.1 - 48.9%)。从问卷中获取农场和鸡群变量的数据,并使用随机效应逻辑回归模型来研究这些变量与鸡群弯曲杆菌感染状况之间的关联。最终的多变量模型纳入了六个变量,所有这些变量在p<0.05时均具有显著性。其中包括一个关于农场是否存在啮齿动物的综合变量,该变量显示,在生产周期内养殖户报告观察到啮齿动物的鸡群(比值比=2.1)和/或在采样时观察到啮齿动物粪便的鸡群(比值比=2.9)中,感染几率增加。其他与感染几率增加显著相关的变量包括采样时鸡只的年龄(年龄每增加一天,其线性效应的比值比=1.16)、季节(夏季与其他季节相比,比值比=2.0)、拥有三个或更多肉鸡舍的农场(与只有一个鸡舍的农场相比,比值比=2.9)、更换足部消毒剂的频率(与每周更换两次相比,每周更换一次的比值比=2.5,每周更换次数少于一次的比值比=4.0)以及一个关于肉鸡舍前厅整洁和清洁标准的分类变量(来自标准较差鸡舍的鸡群,比值比分别为2.0和4.9)。没有显著证据表明感染会从一个生产周期直接延续到下一个周期,也没有证据表明其他农场物种是感染源。