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Peer-reviewed veterinary case report

Relationships between animal health monitoring and the risk assessment process.

Journal:
Acta veterinaria Scandinavica. Supplementum
Year:
2001
Authors:
Stärk, K D & Salman, M D
Affiliation:
Danish Bacon and Meat Council

Plain-English summary

This study looks at how monitoring animal health and safety can help assess risks in veterinary medicine, especially when it comes to international trade and food safety. It emphasizes that good risk assessments rely heavily on the quality of data collected from monitoring systems. To improve these assessments, the authors suggest that monitoring systems should meet certain quality standards and that the latest scientific methods for designing surveys should be applied in real-world settings. They also recommend that those involved in planning and managing these monitoring systems should have a better understanding of the risk assessment process to ensure the data collected is reliable. Overall, the study highlights the importance of high-quality data for effective risk assessment in veterinary contexts.

Abstract

Risk assessment is part of the risk analysis process as it is used in veterinary medicine to estimate risks related to international trade and food safety. Data from monitoring and surveillance systems (MO&SS) are used throughout the risk assessment process for hazard identification, release assessment, exposure assessment and consequence assessment. As the quality of risk assessments depends to a large extent on the availability and quality of input data, there is a close relationship between MO&SS and risk assessment. In order to improve the quality of risk assessments, MO&SS should be designed according to minimum quality standards. Second, recent scientific developments on state-of-the-art design and analysis of surveys need to be translated into field applications and legislation. Finally, knowledge about the risk assessment process among MO&SS planners and managers should be promoted in order to assure high-quality data.

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Original publication: https://pubmed.ncbi.nlm.nih.gov/11875856/