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加强美国养猪场非洲猪瘟检测的被动监测。

Enhancing passive surveillance for African swine fever detection on U.S. swine farms.

作者信息

Schambow Rachel, Colin Yoder, Dave Wright, Schettino Daniella N, Perez Andres M

机构信息

Center for Animal Health and Food Safety, University of Minnesota, Saint Paul, MN, United States.

Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, Saint Paul, MN, United States.

出版信息

Front Vet Sci. 2022 Dec 2;9:1080150. doi: 10.3389/fvets.2022.1080150. eCollection 2022.

Abstract

As the threat of African swine fever (ASF) introduction into new areas continues, animal health officials and epidemiologists need novel tools for early detection and surveillance. Passive surveillance from swine producers and veterinarians is critical to identify cases, especially the first introduction. Enhanced passive surveillance (EPS) protocols are needed that maximize temporal sensitivity for early ASF detection yet are easily implemented. Regularly collected production and disease data on swine farms may pose an opportunity for developing EPS protocols. To better understand the types of data regularly collected on swine farms and on-farm disease surveillance, a questionnaire was distributed in summer 2022 across multiple channels to MN swine producers. Thirty responses were received that indicated the majority of farms collect various types of disease information and conduct routine diagnostic testing for endemic swine diseases. Following this, a focus group discussion was held at the 2022 Leman Swine Conference where private and public stakeholders discussed the potential value of EPS, opportunities for collaboration, and challenges. The reported value of EPS varied by stakeholder group, but generally participants felt that for swine producers and packers, EPS would help identify abnormal disease occurrences. Many opportunities were identified for collaboration with ongoing industry initiatives and swine management software. Challenges included maintaining motivation for participation in ASF-free areas, labor, data sharing issues, and the cost of diagnostic testing. These highlight important issues to address, and future collaborations can help in the development of practical, fit-for-purpose, and valuable EPS protocols for ASF detection in the swine industry.

摘要

随着非洲猪瘟(ASF)传入新地区的威胁持续存在,动物卫生官员和流行病学家需要新的早期检测和监测工具。来自养猪户和兽医的被动监测对于识别病例至关重要,尤其是首次传入的情况。需要加强被动监测(EPS)方案,以最大限度地提高早期ASF检测的时间敏感性,同时易于实施。养猪场定期收集的生产和疾病数据可能为制定EPS方案提供机会。为了更好地了解养猪场定期收集的数据类型以及农场疾病监测情况,2022年夏季通过多个渠道向明尼苏达州的养猪户发放了一份调查问卷。共收到30份回复,表明大多数农场收集各种类型的疾病信息,并对地方流行的猪病进行常规诊断检测。在此之后,在2022年莱曼猪业会议上举行了一次焦点小组讨论,私营和公共利益相关者讨论了EPS的潜在价值、合作机会和挑战。EPS的报告价值因利益相关者群体而异,但总体而言,参与者认为对于养猪户和包装商来说,EPS将有助于识别异常疾病发生情况。与正在进行的行业倡议和养猪管理软件的合作机会很多。挑战包括在无ASF地区保持参与的积极性、劳动力、数据共享问题以及诊断检测成本。这些突出了需要解决的重要问题,未来的合作有助于为养猪业开发实用、适用且有价值的ASF检测EPS方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53dc/9755322/9527d73573c2/fvets-09-1080150-g0001.jpg

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