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Abstract：
This review presents the current initiatives and potential for development in the field of animal health surveillance (AHSyS), 5 years on from its advent to the front of the veterinary public health scene. A systematic review approach was used to document the ongoing AHSyS initiatives (active systems and those in pilot phase) and recent methodological developments. Clinical data from practitioners and laboratory data remain the main data sources for AHSyS. However, although not currently integrated into prospectively running initiatives, production data, mortality data, abattoir data, and new media sources (such as Internet searches) have been the objective of an increasing number of publications seeking to develop and validate new AHSyS indicators. Some limitations inherent to AHSyS such as reporting sustainability and the lack of classification standards continue to hinder the development of automated syndromic analysis and interpretation. In an era of ubiquitous electronic collection of animal health data, surveillance experts are increasingly interested in running multivariate systems (which concurrently monitor several data streams) as they are inferentially more accurate than univariate systems. Thus, Bayesian methodologies, which are much more apt to discover the interplay among multiple syndromic data sources, are foreseen to play a big part in the future of AHSyS. It has become clear that early detection of outbreaks may not be the principal expected benefit of AHSyS. As more systems will enter an active prospective phase, following the intensive development stage of the last 5 years, the study envisions AHSyS, in particular for livestock, to significantly contribute to future international-, national-, and local-level animal health intelligence, going beyond the detection and monitoring of disease events by contributing solid situation awareness of animal welfare and health at various stages along the food-producing chain, and an understanding of the risk management involving actors in this value chain.
摘要：
这篇综述介绍了动物健康监测（AHSyS）领域的当前举措和发展潜力，从它的出现到兽医公共卫生领域的前沿已经过去了5年。使用了系统审查方法来记录正在进行的AHSyS倡议（活动系统和处于试点阶段的系统）和最近的方法发展。来自从业者的临床数据和实验室数据仍然是AHSyS的主要数据来源。然而,虽然目前尚未纳入前瞻性运行的举措，生产数据,死亡率数据，屠宰场数据,和新媒体来源(如互联网搜索)一直是越来越多的出版物寻求开发和验证新的AHSyS指标的目标。AHSyS固有的一些限制，例如报告可持续性和缺乏分类标准，继续阻碍了自动综合征分析和解释的发展。在动物健康数据电子采集无处不在的时代，监视专家对运行多变量系统（同时监视多个数据流）越来越感兴趣，因为它们比单变量系统推断更准确。因此，贝叶斯方法，更容易发现多个综合征数据源之间的相互作用，预计将在AHSyS的未来发挥重要作用。很明显，早期发现疫情可能不是AHSyS的主要预期好处。随着更多的系统将进入积极的预期阶段，在过去五年的密集发展阶段之后，这项研究设想AHSyS，特别是对牲畜来说，为未来的国际做出重大贡献-，national-,和地方动物健康情报，通过在食品生产链的各个阶段提供对动物福利和健康的扎实认识，超越了对疾病事件的检测和监测，以及对这一价值链中涉及参与者的风险管理的理解。
