O Donovan Siobhan M, McAloon Conor G, O'Grady Luke, Geraghty Timothy, Burrell Alison, McCarthy Marie-Claire, Donlon John, Tratalos Jamie A, Mee John F
Moorepark, Teagasc, Animal and Grassland Research and Innovation Centre, Fermoy, Co. Cork, Ireland.
School of Veterinary Medicine, University College Dublin, Dublin, Ireland.
Front Vet Sci. 2024 Dec 10;11:1462783. doi: 10.3389/fvets.2024.1462783. eCollection 2024.
Risk assessments are important tools to identify deficits in biosecurity management practices. A major strength of some existing tools is that they facilitate cross-country comparisons. However, a weakness is their failure to account for unique intra-national farming enterprise structures such as, for example, pasture-based dairying. Currently, there are no suitable biosecurity risk assessment tools applicable to pasture-based dairying as practiced in Ireland. In addition to a need for enterprise-specific biosecurity risk assessment tools, the weighting of risk scores generated by these tools needs to be context-specific to ensure validity in assessing biosecurity risks in the farming sector of interest. Furthermore, existing biosecurity audits rely exclusively on respondent recall to answer questions about management practices. To address each of these limitations of existing biosecurity risk assessment tools we developed and optimised a new biosecurity risk assessment tool (BioscoreDairy) designed to assess the biosecurity status of pasture-based dairy farms in Ireland. It consists of two parts, a biosecurity questionnaire and a cattle movement records audit. A questionnaire was developed on biosecurity management practices appropriate for a pasture-based dairy system. Multiple national expert groups were leveraged to provide weightings for the different management practices in the questionnaire using the best-worst scaling methodology of MaxDiff. The results of this process provided a numerical categorisation that could then be used to assign scores to the individual biosecurity management practices. These practices were grouped into three biosecurity areas; risk of disease entry, speed of disease spread and diagnosis of infection. Within each of these three areas, a traffic light system was used to compare a farm's biosecurity risks to other similar farms-least risk (green; within the top third of farms), concerning practice (amber; middle third) and worst practice or greatest risk (red; lowest third). In addition to these scores, the cattle introduction profile of a herd over the previous 3 years, based on nationally recorded data, was audited, compared amongst dairy farm enterprise subtypes, and included in the BioscoreDairy report. BioscoreDairy is therefore the first biosecurity risk assessment tool tailored to pasture-based dairy farm systems, both for individual farm reporting and for benchmarking against comparable farms.
风险评估是识别生物安全管理实践中缺陷的重要工具。一些现有工具的一个主要优点是它们便于进行跨国比较。然而,一个缺点是它们没有考虑到国内独特的养殖企业结构,例如以牧场为基础的奶牛养殖。目前,没有适用于爱尔兰所实行的以牧场为基础的奶牛养殖的合适生物安全风险评估工具。除了需要针对企业的生物安全风险评估工具外,这些工具生成的风险评分权重还需要根据具体情况确定,以确保在评估相关养殖部门的生物安全风险时的有效性。此外,现有的生物安全审计完全依赖受访者回忆来回答有关管理实践的问题。为了解决现有生物安全风险评估工具的这些局限性,我们开发并优化了一种新的生物安全风险评估工具(BioscoreDairy),旨在评估爱尔兰以牧场为基础的奶牛场的生物安全状况。它由两部分组成,一份生物安全调查问卷和一次牲畜移动记录审计。针对适合以牧场为基础的奶牛养殖系统的生物安全管理实践编制了一份调查问卷。利用多个国家专家小组,采用最大差异法(MaxDiff)的最佳-最差缩放方法,为调查问卷中的不同管理实践提供权重。这一过程的结果提供了一个数字分类,然后可用于为各个生物安全管理实践打分。这些实践被分为三个生物安全领域:疾病传入风险、疾病传播速度和感染诊断。在这三个领域中的每一个领域内,都使用一个交通信号灯系统将一个农场的生物安全风险与其他类似农场进行比较——风险最低(绿色;在农场的前三分之一)、令人担忧的做法(琥珀色;中间三分之一)和最差做法或最高风险(红色;最低三分之一)。除了这些分数外,还根据国家记录的数据对一个牛群在过去3年中的引进情况进行审计,在奶牛养殖企业亚型之间进行比较,并纳入BioscoreDairy报告。因此,BioscoreDairy是第一个专门为以牧场为基础的奶牛养殖系统量身定制的生物安全风险评估工具,既用于单个农场报告,也用于与可比农场进行基准比较。