Melbourne Veterinary School, Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, Victoria, 3010, Australia.
UQ Spatial Epidemiology Laboratory, School of Veterinary Science, The University of Queensland, Gatton, Queensland, 4343, Australia.
Aust Vet J. 2022 Jul;100(7):296-305. doi: 10.1111/avj.13163. Epub 2022 May 18.
The largest Australian farm-based outbreak of Q fever originated from a dairy goat herd. We surveyed commercial dairy goat farms across Australia by testing bulk tank milk (BTM) samples using a commercial indirect enzyme-linked immunosorbent assay and two quantitative polymerase chain reactions (PCRs). Of the 66 commercial dairy goat herds on record, managers from 61 herds were contacted and 49 provided BTM samples. Five of the surveyed herds were positive on at least one of the diagnostic tests, thus herd-level apparent prevalence was 10% (95% confidence interval [CI] 4 to 22). True prevalence was estimated to be 3% (95% credible interval: 0 to 18). Herd managers completed a questionnaire on herd management, biosecurity and hygiene practices and risk factors were investigated using multivariable logistic regression. Herds with >900 milking does (the upper quartile) were more likely to be Coxiella burnetii positive (odds ratio = 6.75; 95% CI 1.65 to 27.7) compared with farms with ≤900 milking does. The odds of BTM positivity increased by a factor of 2.53 (95% CI 1.51 to 4.22) for each order of magnitude increase in the number of goats per acre. C. burnetii was not detected in samples from the majority of the Australian dairy goat herds suggesting there is an opportunity to protect the industry and contain this disease with strengthened biosecurity practices. Intensification appeared associated with an increased risk of positivity. Further investigation is required to discriminate the practices associated with an increased risk of introduction to disease-free herds, from practices associated with maintenance of C. burnetii infection in infected dairy goat herds.
澳大利亚最大的农场型 Q 热爆发源自一个奶山羊群。我们通过使用商业间接酶联免疫吸附测定法和两种定量聚合酶链反应(PCR)对澳大利亚各地的商业奶山羊场进行了调查,对大容量奶罐奶(BTM)样本进行了检测。在记录的 66 个商业奶山羊群中,与 61 个牧场的经理进行了联系,并获得了 49 个 BTM 样本。在接受调查的五个牧场中,至少有一种诊断测试呈阳性,因此,群体水平的表观流行率为 10%(95%置信区间[CI]为 4 至 22)。真实流行率估计为 3%(95%可信区间:0 至 18)。牧场经理填写了一份关于牧场管理、生物安全和卫生实践的问卷,并使用多变量逻辑回归调查了风险因素。与奶牛数量≤900 头的牧场相比,奶牛数量>900 头的牧场(上四分位数)更有可能为 Q 热立克次体阳性(比值比= 6.75;95%置信区间 1.65 至 27.7)。BTM 阳性的几率增加了 2.53 倍(95%置信区间 1.51 至 4.22),每增加一英亩的山羊数量增加一个数量级。在大多数澳大利亚奶山羊群的样本中未检测到 C. burnetii,这表明有机会通过加强生物安全措施来保护该行业并控制这种疾病。集约化似乎与阳性率增加有关。需要进一步调查,以区分与将疾病引入无病牧场相关的做法,与维持感染 C. burnetii 的感染奶山羊群相关的做法。