作者: X. Guo
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摘要: Abstract Hazard surveillance in livestock production chains is an essential activity that usually conducted by organizations. Its importance has been highlighted the major crises occurred field of and food safety during last decades. Although extensive research to achieve improvement chains, they have limitations terms coverage economic aspects level detail modelling interactions between hazard dynamics activities. Hence, dissertation aims (1) improve understanding from perspective, (2) apply obtained knowledge for better model-based in-depth analysis surveillance. In this thesis, we first presents a conceptual framework single-hazard systems which differs most previous focusing on technical aspect We conclude approach scientifically credible applicability critically depends data availability. Then present optimization surveillance- portfolio consisting multiple hazards survey. This applies perspective investigate resource allocation problem, beyond state art mainly focuses single analyses. The credibility practicability were also checked. To demonstrate usefulness developed frameworks, two case studies are conducted. applied conduct comprehensive classical swine fever (CSF) Netherlands. results cost-effectiveness show alternative setups with “PCR rendered animals” effective moderately virulent CSF strain, whereas “routine serology slaughterhouses” or sow farms” low strain. Moreover, current system Netherlands cost-effective both strains. cost-benefit strain indicate adequate. From there little be gained intensifying surveillance-portfolio pig-hazard surveillance-portfolio, five pig-related hazards, Dutch company. draw conclusion organizations need use guide their allocation. because clearly shows arbitrarily allocating can cause efficiency losses (either higher costs SP performance).