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Assessment and mitigation processes for disease risks associated with wildlife management and conservation
1Department of Environment Food and Rural Affairs, Nobel House, 17 Smith Square, London SW1P 3JR. matthew.hartley@defra.gsi.gov.uk
A new disease risk assessment procedure was developed for wildlife conservation interventions in England. This practical system prioritizes risks, ensuring interventions are proportionate and cost-effective for wildlife legislation compliance.
Area of Science:
- Veterinary epidemiology
- Wildlife disease ecology
- Conservation science
Background:
- Wildlife interventions require robust disease risk assessment to prevent pathogen transmission.
- Existing procedures may not be practical or proportionate for diverse conservation activities.
- England's wildlife legislation mandates risk management for interventions.
Purpose of the Study:
- To describe a new disease risk assessment procedure for wildlife and conservation interventions in England.
- To develop a simple risk algorithm for identifying and prioritizing high-concern procedures.
- To ensure the implemented system is practicable, proportionate, and economically viable.
Main Methods:
- Development of a simple risk algorithm.
- Application of the algorithm to prioritize conservation intervention procedures.
- Evaluation of the procedure's practicability, proportionality, and cost-effectiveness.
Main Results:
- A straightforward risk algorithm was successfully developed.
- The procedure effectively identifies and prioritizes disease risks associated with wildlife interventions.
- The system is designed to be implementable within existing wildlife legislation frameworks.
Conclusions:
- The described disease risk assessment procedure offers a practical and proportionate approach for wildlife conservation in England.
- The developed algorithm aids in prioritizing interventions, mitigating disease risks effectively.
- This system supports compliance with wildlife legislation while ensuring the viability of conservation activities.
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