Literature DB >> 29575643

Creating a framework for the prioritization of biosecurity risks to the New Zealand dairy industry.

P Muellner1, D Hodges2, C Ahlstrom1, M Newman2, R Davidson2, D Pfeiffer3, J Marshall4, C Morley2.   

Abstract

The New Zealand dairy sector relies on robust biosecurity measures to control and mitigate a wide range of threats to the industry. To optimize the prioritization of organisms and manage the risk they pose to the sector in a transparent and credible way, the Dairy Biosecurity Risk Evaluation Framework (D-BRiEF) was developed. This comprehensive framework was specifically designed for decision support, using a standardized approach to address the full spectrum of biosecurity threats to the sector, including exotic and endemic animal disease organisms, pest plants and insects. D-BRiEF is underpinned by three main processes, namely (i) hazard identification; (ii) multicriteria risk assessment; and (iii) communication for risk management. Expert knowledge and empirical data, including associated uncertainty, are harnessed in a standardized format. Results feed into a probability-impact model that was developed in close collaboration with dairy sector economists to provide overall comparative 10-year quantitative economic impact estimates for each assessed risk organism. A description of the overarching framework, which applies to diverse organism groups, is presented with detailed methodology on both endemic and exotic animal disease risk organisms. Examples of visual outputs are included, although actual ranking results are not reported due to industry confidentiality. D-BRiEF can provide a decision advantage to DairyNZ biosecurity risk managers and sector stakeholders by creating a transparent process that can be interrogated and updated at multiple levels to fully understand the layers of risk posed by different organisms.
© 2018 Blackwell Verlag GmbH.

Keywords:  biosecurity; dairy; expert elicitation; probability-impact model; risk assessment; risk ranking

Mesh:

Year:  2018        PMID: 29575643     DOI: 10.1111/tbed.12848

Source DB:  PubMed          Journal:  Transbound Emerg Dis        ISSN: 1865-1674            Impact factor:   5.005


  1 in total

1.  Self-Reporting of Risk Pathways and Parameter Values for Foot-and-Mouth Disease in Slaughter Cattle from Alternative Production Systems by Kenyan and Ugandan Veterinarians.

Authors:  Julie Adamchick; Karl M Rich; Andres M Perez
Journal:  Viruses       Date:  2021-10-20       Impact factor: 5.048

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.