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Variability and predictors of weekly pesticide exposure in applicators from organic, sustainable and conventional smallholder farms in Costa Rica.

Samuel FuhrimannPhilipp StaudacherChristian H LindhBerna van Wendel de JoodeAna M MoraMirko S WinklerHans Kromhout
Published in: Occupational and environmental medicine (2019)
In this study of applicators from smallholder farms in Costa Rica, we determined the importance of collecting questionnaire data on self-reported pesticide use repeatedly due to its high variability within workers and absence of application records. Our questionnaire-based exposure algorithm could allow the calculation of semiquantitative estimates of average pesticide exposure for applicators from other LMICs.
Keyphrases
  • risk assessment
  • cross sectional
  • artificial intelligence