Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota , St. Paul, MN , USA.
Veterinary Services, Animal and Plant Health Inspection Service, U.S. Department of Agriculture , Fort Collins, CO , USA.
Front Vet Sci. 2016 Mar 14;3:18. doi: 10.3389/fvets.2016.00018. eCollection 2016.
The reporting and monitoring of swine enteric coronavirus diseases (SECD), including porcine epidemic diarrhea virus and porcine delta coronavirus, in the United States have been challenging because of the initial absence of a regulatory framework and the emerging nature of these diseases. The National Animal Health Laboratory Network, the Emergency Management and Response System, and the Swine Health Monitoring Project were used to monitor the disease situation between May 2013 and March 2015. Important differences existed between and among them in terms of nature and extent of reporting. Here, we assess the implementation of these systems from different perspectives, including a description and comparison of collected data, disease metrics, usefulness, simplicity, flexibility, acceptability, representativeness, timeliness, and stability. This assessment demonstrates the limitations that the absence of premises identification imposes on certain animal health surveillance and response databases, and the importance of federally regulated frameworks in collecting accurate information in a timely manner. This study also demonstrates the value that the voluntary and producer-organized systems may have in monitoring emerging diseases. The results from all three data sources help to establish the baseline information on SECD epidemiological dynamics after almost 3 years of disease occurrence in the country.
在美国,猪肠道冠状病毒病(SECD),包括猪流行性腹泻病毒和猪德尔塔冠状病毒的报告和监测具有挑战性,因为最初缺乏监管框架,且这些疾病具有新兴性。国家动物健康实验室网络、应急管理和响应系统以及猪健康监测计划被用于监测 2013 年 5 月至 2015 年 3 月间的疾病情况。它们在报告的性质和范围方面存在重要差异。在这里,我们从不同角度评估这些系统的实施情况,包括收集数据的描述和比较、疾病指标、实用性、简单性、灵活性、可接受性、代表性、及时性和稳定性。这种评估表明了缺乏前提识别对某些动物健康监测和响应数据库的限制,以及联邦监管框架在及时收集准确信息方面的重要性。本研究还表明,自愿和生产者组织的系统在监测新出现的疾病方面可能具有价值。所有三个数据源的结果有助于在疾病发生近 3 年后,建立 SECD 流行病学动态的基线信息。