Dermal Advanced REACH Tool (dART): A Bayesian Model for Dermal Exposure Assessment.
The dermal Advanced REACH Tool (dART) is a tier 2 exposure model for estimating dermal exposure to the hands (mg min−1) for non-volatile liquid and solid-in-liquid products. The dART builds upon the existing ART framework and describes three mass transport processes (deposition (D hands), direct emi...
| Published in: | Annals of Work Exposures & Health Vol. 66; no. 5; pp. 602 - 618 |
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| Main Authors: | , , , , |
| Format: | equations & formulas research tables/charts Journal Article |
| Published: |
Oxford University Press / USA
Jun2022
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=157303908&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 157303908 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23987308 KJ1E jtl: Annals of Work Exposures & Health issn: 23987308 maglogo: N pubinfo: dt: Jun2022 vid: 66 iid: 5 pid: 622 pub: Oxford University Press / USA artinfo: ui: 157303908 157303908 157303908 10.1093/annweh/wxab114 157303908 ppf: 602 ppct: 16 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Dermal Advanced REACH Tool (dART): A Bayesian Model for Dermal Exposure Assessment. aug: au: McNally, Kevin Goede, Henk A Schinkel, Jody Gorce, Jean-Philippe Warren, Nick affil: HSE Science and Research Centre, Health and Safety Executive , Buxton SK17 9JN , UK sug: subj: Occupational Exposure Adverse Effects Occupational Exposure Evaluation Skin Hand Chemical Safety Occupational Health Models, Statistical Human Calibration Inhalation Exposure Adverse Effects Chemical Hazard Release Adverse Effects Occupational Safety ab: The dermal Advanced REACH Tool (dART) is a tier 2 exposure model for estimating dermal exposure to the hands (mg min−1) for non-volatile liquid and solid-in-liquid products. The dART builds upon the existing ART framework and describes three mass transport processes (deposition (D hands), direct emission and direct contact (E hands), and contact transfer (T hands)) that may each contribute to dermal exposure. The mechanistic model that underpins the dART and calibration of the mechanistic model, such that the dimensionless score that results from encoding contextual information about a task into the determinants of the dART can be converted into a prediction of exposure (mg min−1), have been described in previous work. This paper completes the methodological framework of the dART model through placing the mechanistic model within a wider statistical modelling framework. A mixed-effects model, within a Bayesian framework, is presented for modelling the rate of dermal exposure per minute of activity. The central estimate of exposure for a particular task is provided by a calibrated mechanistic model (and thus based upon contextual information about a task). The model also describes between- and within-worker sources of variability in dermal exposure, with prior distributions for variance components based upon the literature. Estimates of exposure based upon informative prior distributions may be updated using measurement data associated with the task. The dART model is demonstrated using three worked examples, where estimates are initially obtained based upon the prior distributions alone, and then refined through accommodating measurement data on the tasks. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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