Comparative Probabilistic Assessment of Occupational Pesticide Exposures Based on Regulatory Assessments.

ABSTRACT: 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 ben

SUBMITTER: Pouzou JG 

PROVIDER: S-EPMC5936674 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature