Priority list of endemic diseases for the red meat industries

Priority list of endemic diseases for the red meat industries
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红肉行业地方病优先清单

DOI:
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发表时间:
2015
期刊:
影响因子:
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通讯作者:
G. Fordyce
G. Fordyce
中科院分区:
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文献类型:
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作者:
J. Lane;T. Jubb;R. Shephard;John Webb;G. Fordyce

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这份报告系统地回顾了澳大利亚红肉产业(牛、绵羊和山羊)最具经济破坏性的地方性疾病和状况。已经确定了牛、绵羊和山羊的一些疾病,并根据其流行率、分布、风险因素和缓解程度对其进行了优先排序。每种疾病造成的生产损失、预防费用和治疗费用的经济成本是在畜群和畜群一级估计的,然后利用澳大利亚统计局2010-11年农业普查的畜群/畜群人口统计数据外推到全国基础上。还指出了信息不足之处,并对进一步研究提出了建议。 根据从生产者、政府和行业调查收到的反馈,总共确定了17种牛、23只绵羊和9种山羊疾病的优先顺序,然后顾问和MLA之间进行了讨论。疾病分布、群内/群内流行率、对死亡率/产量的影响以及预防和治疗费用的假设是从可用的文献中获得的。在没有这些数据的情况下,顾问们使用他们自己的专业知识来估计每种疾病的相关措施。评估了对每种疾病假设的置信度水平,并确定了知识差距。 这些假设使用了一个专门的Excel模型进行分析,该模型估计了每只动物、牛群/羊群和每种重要疾病的国家成本。该报告在最终定稿之前,由MLA挑选的顾问和专家进行了同行审查和工作。因此,这份报告是一份重要的资源,将指导和优先考虑红肉行业各种利益相关者未来的研究、开发和推广活动。本报告完成了工作重点总体四阶段项目倡议的第一阶段和第二阶段,本报告中发现的数据差距可能会在以后的阶段中得到解决。 使用一致的方法对每种疾病的经济成本进行建模,确保了导出的估计是透明的,并且如果有关于流行率的改进数据,就可以对其进行改进。这意味着,这份报告将成为制定澳大利亚红肉行业地方病管理政策和战略的持久资源。
This report provides a systematic review of the most economically damaging endemic diseases and conditions for the Australian red meat industry (cattle, sheep and goats). A number of diseases for cattle, sheep and goats have been identified and were prioritised according to their prevalence, distribution, risk factors and mitigation. The economic cost of each disease as a result of production losses, preventive costs and treatment costs is estimated at the herd and flock level, then extrapolated to a national basis using herd/flock demographics from the 2010-11 Agricultural Census by the Australian Bureau of Statistics. Information shortfalls and recommendations for further research are also specified. A total of 17 cattle, 23 sheep and nine goat diseases were prioritised based on feedback received from producer, government and industry surveys, followed by discussions between the consultants and MLA. Assumptions of disease distribution, in-herd/flock prevalence, impacts on mortality/production and costs for prevention and treatment were obtained from the literature where available. Where these data were not available, the consultants used their own expertise to estimate the relevant measures for each disease. Levels of confidence in the assumptions for each disease were estimated, and gaps in knowledge identified. The assumptions were analysed using a specialised Excel model that estimated the per animal, herd/flock and national costs of each important disease. The report was peer reviewed and workshopped by the consultants and experts selected by MLA before being finalised. Consequently, this report is an important resource that will guide and prioritise future research, development and extension activities by a variety of stakeholders in the red meat industry. This report completes Phase I and Phase II of an overall four-Phase project initiative by MLA, with identified data gaps in this report potentially being addressed within the later phases. Modelling the economic costs using a consistent approach for each disease ensures that the derived estimates are transparent and can be refined if improved data on prevalence becomes available. This means that the report will be an enduring resource for developing policies and strategies for the management of endemic diseases within the Australian red meat industry.