The Ontario Animal Health Network (OAHN) is an innovative disease surveillance program created to enhance preparedness, early detection, and response to animal disease in Ontario. Laboratory data and, where available, abattoir condemnation data and clinical observations submitted by practicing veterinarians form the core of regular discussions of the species-sector networks. Each network is comprised of government veterinarians or specialists, epidemiologists, pathologists, university species specialists, industry stakeholders, and practicing veterinarians, as appropriate. Laboratorians provide data for diseases of interest as determined by the individual network, and network members provide analysis and context for the large volume of information. Networks assess data for disease trends and the emergence of new clinical syndromes, as well as generate information on the health and disease status for each sector in the province. Members assess data validity and quality, which may be limited by multiple factors. Interpretation of laboratory tests and antimicrobial resistance trends without available clinical histories can be challenging. Extrapolation of disease incidence or risk from laboratory submissions to broader species populations must be done with caution. Disease information is communicated in a variety of media to inform veterinary and agricultural sectors of regional disease risks. Through network engagement, information gaps have been addressed, such as educational initiatives to improve sample submissions and enhance diagnostic outcomes, and the development of applied network-driven research. These diverse network initiatives, developed after careful assessment of laboratory and other data, demonstrate that novel approaches to analysis and interpretation can result in a variety of disease risk mitigation actions.

安大略省动物健康网络 (OAHN) 是一项创新的疾病监测计划，旨在加强安大略省对动物疾病的准备、早期发现和应对。实验室数据以及屠宰场谴责数据（如有）和执业兽医提交的临床观察结果构成了物种部门网络定期讨论的核心。每个网络均由政府兽医或专家、流行病学家、病理学家、大学物种专家、行业利益相关者和执业兽医（视情况而定）组成。实验室人员提供由个体网络确定的感兴趣疾病的数据，网络成员提供大量信息的分析和背景。网络评估疾病趋势和新临床综合症出现的数据，并生成有关全省每个部门的健康和疾病状况的信息。成员评估数据的有效性和质量，这可能受到多种因素的限制。在没有可用临床病史的情况下解释实验室检测和抗菌药物耐药性趋势可能具有挑战性。将实验室提交的疾病发生率或风险外推到更广泛的物种种群时必须谨慎。通过各种媒体传播疾病信息，向兽医和农业部门通报区域疾病风险。通过网络参与，信息差距得到了解决，例如改进样本提交和增强诊断结果的教育举措，以及应用网络驱动研究的发展。 这些多样化的网络举措是在仔细评估实验室和其他数据后制定的，表明新的分析和解释方法可以导致各种疾病风险缓解行动。