School of Veterinary Sciences, University of Bristol, Langford BS40 5DU, UK.
Prev Vet Med. 2013 Aug 1;111(1-2):31-41. doi: 10.1016/j.prevetmed.2013.03.005. Epub 2013 Apr 20.
The incidence of herd breakdown (HBD) with bovine tuberculosis (bTB) has continued to increase year on year since the 1980s in Great Britain. The management of bTB constitutes a major challenge for government and the cattle industry. Whilst various factors have been implicated with the risk of HBD with bTB, factors involved in recovery are less well described. In this paper, we used a multilevel multistate model to identify the factors affecting the probability of a herd being placed under restriction following a bTB outbreak and the factors involved in those restrictions being lifted. By modelling both transitions within the same model, we control for unobserved herd-specific characteristics, and investigate the frequency of change between the restricted and derestricted states. There were two patterns of herd breakdown: transient (characterised by fast cycling between restricted and derestricted states) and continuous (characterised by rare changes between the two states). The risk of a herd being placed under restriction was dominated by predictors related to cattle movements. The probability of derestriction increased with more regular testing. Some risks affected both transitions, namely loge mean size of neighbouring herds in the test-year, whether the herd bred its own replacements and the foot and mouth disease indicator of whether a bTB test was done between February 2002 and January 2003, possibly because the underlying true state of the herd, as infected or not, meant that these factors increased or reduced the risk of HBD. These results highlight that management of bTB is dependent on the true underlying herd status of bTB infection and that some confusion of the benefits or otherwise of some management practices, e.g. using home bred replacements can be explained by this underlying status.
自 20 世纪 80 年代以来,英国的牛结核病(bTB)群体暴发(HBD)发病率逐年上升。bTB 的管理对政府和牛业构成了重大挑战。尽管有各种因素与 bTB 的 HBD 风险有关,但与恢复相关的因素描述得较少。在本文中,我们使用多层次多状态模型来确定影响 bTB 暴发后牛群受到限制的概率的因素,以及影响这些限制解除的因素。通过在同一模型中对这两种转变进行建模,我们控制了未观察到的牛群特定特征,并调查了受限和非受限状态之间的变化频率。有两种牛群暴发模式:瞬时(特征是在受限和非受限状态之间快速循环)和连续(特征是在两种状态之间很少变化)。牛群受到限制的风险主要由与牛只移动有关的预测因素主导。解除限制的概率随着定期检测的增加而增加。一些风险同时影响这两种转变,即测试年度中相邻牛群的对数平均大小、牛群是否自行繁殖以及口蹄疫指标,即 2002 年 2 月至 2003 年 1 月期间是否进行了 bTB 检测,这可能是因为牛群的真实感染状态,即感染与否,意味着这些因素增加或降低了 HBD 的风险。这些结果表明,bTB 的管理取决于 bTB 感染的真实牛群状态,并且一些管理实践的好处或不利之处的混淆,例如使用自家繁殖的后备牛,可以通过这种潜在状态来解释。