School of Veterinary Science, Massey University, Palmerston North, 4474, New Zealand.
Vet Res. 2020 Feb 21;51(1):16. doi: 10.1186/s13567-020-00750-8.
Bovine digital dermatitis (DD) is an important infectious cause of cattle lameness worldwide that has become increasingly prevalent in New Zealand pastoral dairy herds. In this study, a simplified DD scoring system after considering both M and Iowa DD scoring systems was applied to explore the transmission dynamics of DD in a typical spring-calving pastoral New Zealand dairy herd. The modified model only included three compartments: normal skin, early stage lesions and advanced lesions. Lesions regressing after treatment were excluded as DD lesions are rarely treated in New Zealand. Furthermore, sub-classes within each lesion class were not defined due to the lack of variability in DD lesion presentations within New Zealand. The model was validated based on longitudinal field data from three dairy herds in the Waikato region during one lactation season (2017-18). The model suggested that in infected dairy herds, although DD prevalence will tend to increase year-on-year it is likely to remain relatively low (< 18%) even after 10 years of within-herd transmission. It is likely that the low transmission rate during the late lactation (model assumption) results in more cases resolving than developing during this period and therefore results in the low prevalence of infectious cattle at the start of each subsequent lactation. Cattle with advanced lesions had a stronger influence on the establishment and maintenance of DD than cattle with early stage lesions highlighting the importance of targeting these animals for intervention. On-going monitoring of DD is highly recommended to assess the long-term progression of the disease in affected dairy herds.
奶牛数字皮炎(DD)是一种重要的传染性牛跛行病因,在新西兰牧场奶牛群中越来越普遍。在本研究中,在考虑 M 和爱荷华 DD 评分系统后,应用简化的 DD 评分系统,以探索 DD 在典型春季产犊的新西兰牧场奶牛群中的传播动态。改良模型仅包括三个隔室:正常皮肤、早期病变和晚期病变。治疗后消退的病变被排除在外,因为新西兰很少治疗 DD 病变。此外,由于新西兰 DD 病变表现缺乏可变性,因此每个病变类别内没有定义亚类。该模型基于怀卡托地区三个奶牛场在一个泌乳季节(2017-18)的纵向现场数据进行验证。该模型表明,在受感染的奶牛场中,尽管 DD 流行率可能会逐年增加,但即使在 10 年内进行场内传播,其流行率也可能保持相对较低(<18%)。在泌乳后期(模型假设)低传播率可能导致在此期间更多的病例缓解而不是发展,因此在每个后续泌乳期开始时,感染牛的流行率较低。晚期病变的牛比早期病变的牛对 DD 的建立和维持有更强的影响,这突出了针对这些动物进行干预的重要性。强烈建议对 DD 进行持续监测,以评估受影响奶牛场疾病的长期进展。