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Multicriteria Evaluation of Classical Swine Fever Control Strategies Using the Choquet Integral
J Brosig1, I Traulsen1, J Krieter1
1Institute of Animal Breeding and Husbandry, Christian-Albrechts-University, Kiel, Germany.
Selecting the best classical swine fever (CSF) control strategy involves more than just epidemiology. Multicriteria decision-making (MCDM) effectively integrates economic and social factors to rank strategies, aiding optimal disease management.
Area of Science:
- Veterinary Epidemiology
- Animal Health Management
- Decision Science
Background:
- Classical swine fever (CSF) is a highly contagious animal disease requiring optimal control strategies.
- Control strategy selection involves epidemiological, economic, and ethical/social considerations.
- Multicriteria decision-making (MCDM) offers a framework for evaluating complex choices.
Purpose of the Study:
- To evaluate six different classical swine fever (CSF) control strategies using MCDM.
- To compare traditional methods with alternative strategies like emergency vaccination and rapid PCR testing.
- To analyze the influence of regional farm density and stakeholder perceptions on strategy selection.
Main Methods:
- Employed the MACBETH approach to assess epidemiological, economic, and ethical/social criteria.
- Translated quantitative and qualitative subcriteria into a normalized scale.
- Utilized the Choquet integral to rank strategies, considering criterion interactions.
Main Results:
- Alternative control strategies were favored over minimum EU and traditional culling methods.
- Both region-specific factors and criterion importance rankings influenced the optimal strategy choice.
- MCDM proved valuable as optimal strategy selection extends beyond purely epidemiological efficiency.
Conclusions:
- MCDM approaches like MACBETH and Choquet integral are feasible for CSF control strategy evaluation.
- MACBETH provides an intuitive, qualitative assessment, while Choquet integral accounts for criterion interactions.
- Integrating diverse criteria is crucial for selecting the most effective and acceptable CSF control measures.
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