Welcome to CDC stacks | Comparative Probabilistic Assessment of Occupational Pesticide Exposures Based on Regulatory Assessments - 53820 | CDC Public Access
Stacks Logo
Advanced Search
Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.
 
 
Help
Clear All Simple Search
Advanced Search
Comparative Probabilistic Assessment of Occupational Pesticide Exposures Based on Regulatory Assessments
  • Published Date:
    Nov 06 2017
  • Source:
    Risk Anal. 38(6):1223-1238.
Filetype[PDF-649.87 KB]


Details:
  • Pubmed ID:
    29105804
  • Pubmed Central ID:
    PMC5936674
  • Description:
    Implementation of probabilistic analyses in exposure assessment can provide valuable insight into the risks of those at the extremes of population distributions, including more vulnerable or sensitive subgroups. Incorporation of these analyses into current regulatory methods for occupational pesticide exposure is enabled by the exposure data sets and associated data currently used in the risk assessment approach of the Environmental Protection Agency (EPA). Monte Carlo simulations were performed on exposure measurements from the Agricultural Handler Exposure Database and the Pesticide Handler Exposure Database along with data from the Exposure Factors Handbook and other sources to calculate exposure rates for three different neurotoxic compounds (azinphos methyl, acetamiprid, emamectin benzoate) across four pesticide-handling scenarios. Probabilistic estimates of doses were compared with the no observable effect levels used in the EPA occupational risk assessments. Some percentage of workers were predicted to exceed the level of concern for all three compounds: 54% for azinphos methyl, 5% for acetamiprid, and 20% for emamectin benzoate. This finding has implications for pesticide risk assessment and offers an alternative procedure that may be more protective of those at the extremes of exposure than the current approach.

  • Document Type:
  • Collection(s):
  • Main Document Checksum:
No Related Documents.
You May Also Like: