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Probabilistic risk assessment for dietary exposure


         Luc Mohimont - Pesticides Unit



           ECPA-IBMA workshop with EFSA
             26th April 2012, Parma Italy
                                                     1
PPR Panel guidance on the use of probabilistic methodology for
       modelling dietary exposure to pesticide residues

 How does the cumulative exposure varies across a population of
interest?
 2 scenarios (MRL setting/authorization and actual exposure)
 Acute and chronic exposure
 Single compound exposure and cumulative exposure
 Basic modelling: pessimistic and optimistic assumptions
 Refined modelling
 2 Public consultations completed
 Adoption by June 2012



                                                                   2
Next steps in cooperation with Commission & MSs

 EFSA GDs for specific scenarios

 Definition of priorities between a possibly high number of CAGs

 Definition of the desired levels of protection

 Data collection, identification of data gaps

 Deterministic methodology

 Development of a tool accessible to stakeholders

 First CRAs in 2013                                                3

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Luc Mohimont - Probabilistic risk assessment

  • 1. Probabilistic risk assessment for dietary exposure Luc Mohimont - Pesticides Unit ECPA-IBMA workshop with EFSA 26th April 2012, Parma Italy 1
  • 2. PPR Panel guidance on the use of probabilistic methodology for modelling dietary exposure to pesticide residues  How does the cumulative exposure varies across a population of interest?  2 scenarios (MRL setting/authorization and actual exposure)  Acute and chronic exposure  Single compound exposure and cumulative exposure  Basic modelling: pessimistic and optimistic assumptions  Refined modelling  2 Public consultations completed  Adoption by June 2012 2
  • 3. Next steps in cooperation with Commission & MSs  EFSA GDs for specific scenarios  Definition of priorities between a possibly high number of CAGs  Definition of the desired levels of protection  Data collection, identification of data gaps  Deterministic methodology  Development of a tool accessible to stakeholders  First CRAs in 2013 3