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首页> 外文期刊>Frontiers in Public Health >Integrating Novel Data Streams to Support Biosurveillance in Commercial Livestock Production Systems in Developed Countries: Challenges and Opportunities
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Integrating Novel Data Streams to Support Biosurveillance in Commercial Livestock Production Systems in Developed Countries: Challenges and Opportunities

机译：集成新型数据流以支持发达国家商业畜牧生产系统中的生物监测：挑战和机遇

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摘要

Reducing the burden of emerging and endemic infectious diseases on commercial livestock production systems will require the development of innovative technology platforms that enable information from diverse animal health resources to be collected, analyzed, and communicated in near real-time. In this paper, we review recent initiatives to leverage data routinely observed by farmers, production managers, veterinary practitioners, diagnostic laboratories, regulatory officials, and slaughterhouse inspectors for disease surveillance purposes. The most commonly identified challenges were (1) the lack of standardized systems for recording essential data elements within and between surveillance data streams, (2) the additional time required to collect data elements that are not routinely recorded by participants, (3) the concern over the sharing and use of business sensitive information with regulatory authorities and other data analysts, (4) the difficulty in developing sustainable incentives to maintain long-term program participation, and (5) the limitations in current methods for analyzing and reporting animal health information in a manner that facilitates actionable response. With the significant recent advances in information science, there are many opportunities to develop more sophisticated systems that meet national disease surveillance objectives, while still providing participants with valuable tools and feedback to manage routine animal health concerns.
机译：减轻商业性牲畜生产系统上新出现的和地方性传染病的负担，将需要开发创新的技术平台，使来自各种动物卫生资源的信息能够近乎实时地收集，分析和交流。在本文中，我们回顾了最近采取的措施，以利用农民，生产经理，兽医，诊断实验室，监管官员和屠宰场检查员常规观察到的数据进行疾病监测。最常见的挑战是：（1）缺乏用于在监视数据流之内和之间记录基本数据元素的标准化系统，（2）收集参与者没有定期记录的数据元素所需的额外时间，（3）关注点与监管机构和其他数据分析师共享和使用商业敏感信息的问题;（4）难以制定可持续的激励措施以保持长期计划参与;以及（5）当前用于分析和报告动物健康信息的方法的局限性以有助于采取可行行动的方式。随着信息科学领域最近的重大进步，有很多机会来开发满足国家疾病监测目标的更复杂的系统，同时仍为参与者提供有价值的工具和反馈来管理常规动物健康问题。

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