Peer-reviewed veterinary case report
A conceptual framework for economic optimization of single hazard surveillance in livestock production chains.
- Journal:
- Preventive veterinary medicine
- Year:
- 2014
- Authors:
- Guo, Xuezhen et al.
- Affiliation:
- Department of Social Sciences · Netherlands
Plain-English summary
This research focuses on how to improve the way we monitor specific hazards in livestock production, which is important for food safety. The authors propose a new method that combines both objective data, like costs and performance of surveillance systems, and subjective factors, such as the overall impact of these monitoring efforts. They tested their approach to ensure it makes sense theoretically and that it can be supported by real data. However, they noted that the effectiveness of this method will depend on how much data is available. Overall, the researchers believe their approach is a solid foundation for analyzing the economics of hazard surveillance in livestock.
Abstract
Economic analysis of hazard surveillance in livestock production chains is essential for surveillance organizations (such as food safety authorities) when making scientifically based decisions on optimization of resource allocation. To enable this, quantitative decision support tools are required at two levels of analysis: (1) single-hazard surveillance system and (2) surveillance portfolio. This paper addresses the first level by presenting a conceptual approach for the economic analysis of single-hazard surveillance systems. The concept includes objective and subjective aspects of single-hazard surveillance system analysis: (1) a simulation part to derive an efficient set of surveillance setups based on the technical surveillance performance parameters (TSPPs) and the corresponding surveillance costs, i.e., objective analysis, and (2) a multi-criteria decision making model to evaluate the impacts of the hazard surveillance, i.e., subjective analysis. The conceptual approach was checked for (1) conceptual validity and (2) data validity. Issues regarding the practical use of the approach, particularly the data requirement, were discussed. We concluded that the conceptual approach is scientifically credible for economic analysis of single-hazard surveillance systems and that the practicability of the approach depends on data availability.
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Search related cases →Original publication: https://pubmed.ncbi.nlm.nih.gov/24630402/