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1517994 
Journal Article 
Comparison of four probabilistic models (CARES, Calendex™, ConsExpo, and SHEDS) to estimate aggregate residential exposures to pesticides 
Young, BM; Tulve, NS; Egeghy, PP; Driver, JH; Zartarian, VG; Johnston, JE; Delmaar, CJ; Evans, JJ; Smith, LA; Glen, G; Lunchick, C; Ross, JH; Xue, J; Barnekow, DE 
2012 
Journal of Exposure Science and Environmental Epidemiology
ISSN: 1559-0631
EISSN: 1559-064X 
22 
522-532 
English 
WOS:000307934000013 
Two deterministic models (US EPA's Office of Pesticide Programs Residential Standard Operating Procedures (OPP Residential SOPs) and Draft Protocol for Measuring Children's Non-Occupational Exposure to Pesticides by all Relevant Pathways (Draft Protocol)) and four probabilistic models (CARES(®), Calendex™, ConsExpo, and SHEDS) were used to estimate aggregate residential exposures to pesticides. The route-specific exposure estimates for young children (2-5 years) generated by each model were compared to evaluate data inputs, algorithms, and underlying assumptions. Three indoor exposure scenarios were considered: crack and crevice, fogger, and flying insect killer. Dermal exposure estimates from the OPP Residential SOPs and the Draft Protocol were 4.75 and 2.37 mg/kg/day (crack and crevice scenario) and 0.73 and 0.36 mg/kg/day (fogger), respectively. The dermal exposure estimates (99th percentile) for the crack and crevice scenario were 16.52, 12.82, 3.57, and 3.30 mg/kg/day for CARES, Calendex, SHEDS, and ConsExpo, respectively. Dermal exposure estimates for the fogger scenario from CARES and Calendex (1.50 and 1.47 mg/kg/day, respectively) were slightly higher than those from SHEDS and ConsExpo (0.74 and 0.55 mg/kg/day, respectively). The ConsExpo derived non-dietary ingestion estimates (99th percentile) under these two scenarios were higher than those from SHEDS, CARES, and Calendex. All models produced extremely low exposure estimates for the flying insect killer scenario. Using similar data inputs, the model estimates by route for these scenarios were consistent and comparable. Most of the models predicted exposures within a factor of 5 at the 50th and 99th percentiles. The differences identified are explained by activity assumptions, input distributions, and exposure algorithms. 
model; probabilistic; SHEDS; CARES; ConsExpo; Calendex 
Algorithms 
Child, Preschool 
Environmental Exposure 
Humans 
Models, Statistical 
Pesticides 
Residence Characteristics 
 

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