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Managing Uncertainty in Pest Risk Analysis (PRA): Strategies and Best Practices

Learn how to address uncertainty in Pest Risk Analysis (PRA) Stage 2 through training and best practices. Identify, reduce, and document sources of uncertainty to improve decision-making. Enhance transparency and prepare for future research needs according to ISPM No. 11.

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Managing Uncertainty in Pest Risk Analysis (PRA): Strategies and Best Practices

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  1. Pest Risk Analysis (PRA) Stage 2: Pest Risk Assessment Pest Risk Analysis (PRA) Training

  2. Uncertainty Pest Risk Analysis (PRA) Training

  3. Uncertainty • Uncertainty is inherent to PRA • Using historical data to predict the future • Using data from one area to predict behaviour in another • Complete information is rarely available

  4. Uncertainty • In ISPM No. 11 • Document areas of uncertainty and degree of uncertainty • Necessary for transparency and to identify future research needs

  5. Uncertainty • Identifying uncertainty • Reducing uncertainty • Documenting uncertainty

  6. Identifying uncertainty • Sources of uncertainty include: • Incomplete data • Inconsistent or conflicting data • Imprecision or variability in data • Flaws in methodology • Subjective judgement • Lack of expertise

  7. Sources of uncertainty • Data • Missing, inconsistent, conflicting, imprecise • Judgement • Subjective, time-limited, expertise-limited • Methodology • Undeveloped, untested, inconsistent, not repeatable, pathways not considered or described inappropriately • Other • Pest & human behaviour, random events, unexpected events, complexity of biological systems

  8. Collect more data Validate data with observations Statistical analysis Research Use original sources Expert consultation / peer review Reducing uncertainty

  9. Degree of uncertainty

  10. Documenting uncertainty • Documenting uncertainty contributes to transparency • Define terms • Describe all plausible scenarios • State assumptions • Use your judgement • Experience brings confidence

  11. Uncertainty table

  12. Conclusion • Uncertainty is an inherent part of PRA • Documenting uncertainties and assumptions in PRA is a part of being transparent (IPC principle)

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