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

12
Pest Risk Analysis (PRA) Pest Risk Analysis (PRA) Stage 2: Pest Risk Stage 2: Pest Risk Assessment Assessment Pest Risk Analysis (PRA) Training Pest Risk Analysis (PRA) Training

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

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

Pest Risk Analysis (PRA) Stage Pest Risk Analysis (PRA) Stage 2: Pest Risk Assessment2: Pest Risk Assessment

Pest Risk Analysis (PRA) TrainingPest Risk Analysis (PRA) Training

kirkpatricks
need CW's slide here - redo Monday
Page 2: Pest Risk Analysis (PRA) Stage 2: Pest Risk Assessment Pest Risk Analysis (PRA) Training.

UncertaintyUncertainty

Pest Risk Analysis (PRA) TrainingPest Risk Analysis (PRA) Training

Page 3: Pest Risk Analysis (PRA) Stage 2: Pest Risk Assessment Pest Risk Analysis (PRA) Training.

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

Page 4: Pest Risk Analysis (PRA) Stage 2: Pest Risk Assessment Pest Risk Analysis (PRA) Training.

Uncertainty

• In ISPM No. 11• Document areas of uncertainty

and degree of uncertainty • Necessary for transparency and to

identify future research needs

Page 5: Pest Risk Analysis (PRA) Stage 2: Pest Risk Assessment Pest Risk Analysis (PRA) Training.

Uncertainty

• Identifying uncertainty• Reducing uncertainty • Documenting uncertainty

Page 6: Pest Risk Analysis (PRA) Stage 2: Pest Risk Assessment Pest Risk Analysis (PRA) Training.

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

Page 7: Pest Risk Analysis (PRA) Stage 2: Pest Risk Assessment Pest Risk Analysis (PRA) Training.

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

Page 8: Pest Risk Analysis (PRA) Stage 2: Pest Risk Assessment Pest Risk Analysis (PRA) Training.

Reducing uncertainty

• Collect more data• Validate data with observations• Statistical analysis• Research • Use original sources • Expert consultation / peer review

Page 9: Pest Risk Analysis (PRA) Stage 2: Pest Risk Assessment Pest Risk Analysis (PRA) Training.

Degree of uncertaintyRating Uncertainty

Very high Little or no information – “Best guess”

High

Moderate

Low

Very low Extensive, peer-reviewed information

Page 10: Pest Risk Analysis (PRA) Stage 2: Pest Risk Assessment Pest Risk Analysis (PRA) Training.

Documenting uncertainty

• Documenting uncertainty contributes to transparency– Define terms– Describe all plausible scenarios– State assumptions

• Use your judgement– Experience brings confidence

Page 11: Pest Risk Analysis (PRA) Stage 2: Pest Risk Assessment Pest Risk Analysis (PRA) Training.

Uncertainty table

Element Rank Uncertainty

Probability of Entry High Low

Probability of Establishment

Probability of Spread

Direct Consequences Low High

Indirect Consequences

Overall Risk

Page 12: Pest Risk Analysis (PRA) Stage 2: Pest Risk Assessment Pest Risk Analysis (PRA) Training.

Conclusion

• Uncertainty is an inherent part of PRA

• Documenting uncertainties and assumptions in PRA is a part of being transparent (IPC principle)