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        Surveillance on swine farms using antemortem specimens

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        Author(s)
        Munguía-Ramírez, Berenice
        Armenta-Leyva, Betsy
        Giménez-Lirola, Luis
        Wang, Chong
        Zimmerman, Jeffrey J.
        Language
        English
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        Abstract
        In the recent past, disease control on swine farms was based on vaccination or intentional exposure to pathogens to stimulate immunity and protect against clinical disease. This one-dimensional strategy became increasingly inadequate as farms increased in size and as pathogens resistant to immune control became commonplace, e.g. porcine reproductive and respiratory syndrome virus (PRRSV) and others. Today, prevention and control requires the coordinated use of (1) immunity to reduce clinical losses, (2) biosecurity to stop the entry of pathogens, and (3) surveillance to verify that immunity and biosecurity strategies are functioning properly. Of the three, surveillance has been the most difficult to implement, both because populations on swine farms are complex and because practical surveillance methods have only become available in recent years. Herein we outline the elements of designing and implementing infectious disease surveillance in commercial swine herds using diagnostic testing of antemortem samples.
        URI
        https://library.oapen.org/handle/20.500.12657/61531
        Keywords
        Surveillance; monitor; prevention; control; detection; swine; respiratory virus surveillance
        DOI
        10.19103/AS.2022.0103.04
        ISBN
        9781801464901, 9781801464901
        Publisher
        Burleigh Dodds Science Publishing
        Publisher website
        https://bdspublishing.com/
        Publication date and place
        Cambridge, 2023
        Grantor
        • Iowa State University
        Imprint
        Burleigh Dodds Science Publishing
        Series
        Burleigh Dodds Series in Agricultural Science,
        Classification
        Animal husbandry
        Sustainable agriculture
        Pages
        42
        Rights
        https://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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