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Integrated disease management, optimal effort allocation between prevention and control
Mathieu Bonneau1, Nathalie Mandonnet2, Carine Marie-Magdeleine2
1ASSET UR0143, INRA, 97170, Guadeloupe, Petit-Bourg, France. mathieu.bonneau@inrae.fr.
Scientific Reports
|August 18, 2025
Summary
Balancing disease prevention and control is crucial for effective management. This study presents a mathematical model to optimize these efforts, ensuring economically viable strategies for diseases like gastro-intestinal nematodes in small ruminants.
Area of Science:
- Veterinary Epidemiology
- Mathematical Modeling
- Disease Management
Background:
- Prevention and control are key disease management strategies, but balancing their implementation is challenging.
- Control efforts can be delayed, leading to irreversible damage.
- Optimizing resource allocation between prevention and control is a practical problem.
Purpose of the Study:
- To develop a mathematical model for balancing prevention and control efforts against expected disease loss.
- To derive analytical solutions for optimal prevention and control strategies.
- To apply the framework to gastro-intestinal nematode management in small ruminants.
Main Methods:
- Formulation of a mathematical model to weigh prevention and control efficacy against disease probability.
- Derivation of analytical solutions for optimal effort allocation.
- Application and illustration using data on gastro-intestinal nematodes in small ruminants.
Main Results:
- Optimal prevention and control efforts are determined by the relative efficacy of each strategy and the probability of disease occurrence.
- Calculated minimum anthelmintic efficacy for cost-effective treatment.
- Determined optimal cost-effectiveness for monitoring and maximal cost for integrated management strategies.
Conclusions:
- The developed framework provides a method for economically evaluating new disease management strategies.
- Offers decision rules for optimizing prevention and control efforts in practice.
- Aids in designing economically viable management practices for diseases in livestock.
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