Applications and Findings of an Occupational Exposure Database for Synthetic Vitreous Fibers

Marchant, Gary E.; Bullock, Christopher; Carter, Charles W.; Connelly, Robert; Crane, Angus E.; Fayerweather, William E.; Johnson, Kathleen A.; Reynolds, J.

doi:10.1080/15459620802664382

Cited by 8 publications

(4 citation statements)

References 10 publications

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“…The data sources and the mode of consultation, freely accessible on the Internet, make Evalutil a singular database. Other exposure databases collecting measures exist in many countries for prevention professionals, health institutions, and researchers who need information to estimate exposure [Burns and Beaumont, 1989;Scarselliet al, 2007;Marchant et al, 2009;Gabrie et al, 2010]. However, they are frequently difficult to consult; moreover they rarely include data from scientific studies.…”

Section: A Database Singular In Its Content and Formmentioning

confidence: 99%

EV@LUTIL: An open access database on occupational exposures to asbestos and man‐made mineral fibres

Orlowski

Audignon-Durand

Goldberg

et al. 2015

American J Industrial Med

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Free access to these data in French and in English on the Internet (https://ssl2.isped.u-bordeaux2.fr/eva_003/) helps public health and prevention professionals to identify and characterize occupational exposures to fibers. Extended recently to nanoscale particles, Evalutil continues to contribute to the improvement of knowledge about exposure to inhaled particles and the health risks associated with them.

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Section: A Database Singular In Its Content and Formmentioning

confidence: 99%

EV@LUTIL: An open access database on occupational exposures to asbestos and man‐made mineral fibres

Orlowski

Audignon-Durand

Goldberg

et al. 2015

American J Industrial Med

View full text Add to dashboard Cite

show abstract

“…National databases containing occupational exposure data exist in several countries such as the National Exposure Database (NEDB) in Britain (Burns and Beaumont, 1989), COLCHIC in France (Vincent and Jeandel, 2001), MEGA in Germany (Stamm, 2001), and EXPO in Norway (Osvoll and Woldbaek, 1999). Additionally, industry-specific databases are available such as PAPDEM for the paper and pulp industry (Kauppinen et al, 1997), AWE for the asphalt industry (Burstyn et al, 2000), EXASRUB for the rubber manufacturing industry (de Vocht et al, 2005), and the SVF exposure database for the glass wool insulation industry (Marchant et al, 2009). Moreover, specific exposure databases such as WOODEX for wood dust (Kauppinen et al, 2006), IMA-DMP for respirable (crystalline silica) dust (Houba et al, 2009), and ExpoSyn for five major lung carcinogens (Peters et al, 2012) have been developed.…”

Section: Identification Of Sourcesmentioning

confidence: 99%

The Advanced REACH Tool (ART): Incorporation of an Exposure Measurement Database

Schinkel

Ritchie

Goede³

et al. 2013

The Annals of Occupational Hygiene

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This article describes the structure, functionalities, and content of the Advanced REACH Tool (ART) exposure database (version 1.5). The incorporation of the exposure database into ART allows users who do not have their own measurement data for their exposure scenario, to update the exposure estimates produced by the mechanistic model using analogous measurement series selected from the ART exposure measurement database. Depending on user input for substance category and activity (sub)classes, the system selects exposure measurement series from the exposure database. The comprehensive scenario descriptions and summary statistics assist the user in deciding if the measurement series are indeed fully analogous. After selecting one or more analogous data sets, the data are used by the Bayesian module of the ART system to update the mechanistically modeled exposure estimates. The 1944 exposure measurements currently stored in the ART exposure measurement database cover 9 exposure situations for handling solid objects (n = 65), 42 situations for handling powders, granules, or pelletized material (n = 488), 5 situations for handling low-volatility liquids (n = 88), 35 situations for handling volatile liquids (n = 870), and 26 situations for handling liquids in which powders are dissolved or dispersed (resulting in exposure to mist) (n = 433). These 117 measurement series form a good basis for supporting user exposure estimates. However, by increasing the diversity of exposure situations and the number of measurement series in the database, the usefulness of the ART system will be further improved. Suggestions to stimulate the process of sharing exposure measurement data both to increase the available data in the ART and for other purposes are made.

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“…To date, such assessments have been conducted mostly by using the quantitative exposure monitoring technique [1,2,3,4]. However, difficulties usually arise with industries mainly due to the more hazardous chemicals used in some industries, raising costs and the need for more intensive manpower for conducting exposure assessments.…”

Section: Introductionmentioning

confidence: 99%

Developing a Semi-Quantitative Occupational Risk Prediction Model for Chemical Exposures and Its Application to a National Chemical Exposure Databank

Wang

Juang

et al. 2013

IJERPH

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In this study, a semi-quantitative occupational chemical exposure risk prediction model, based on the calculation of exposure hazard indexes, was proposed, corrected, and applied to a national chemical exposure databank. The model comprises one factor used to describe toxicity (i.e., the toxicity index), and two factors used to reflect the exposure potential (i.e., the exposure index and protection deficiency index) of workers exposed to chemicals. An expert system was used to correct the above proposed model. By applying the corrected model to data obtained from a national occupational chemical hazard survey program, chemical exposure risks of various manufacturing industries were determined and a national control strategy for the abatement of occupational chemical exposures was proposed. The results of the present study would provide useful information for governmental agencies to allocate their limited resources effectively for reducing chemical exposures of workers.

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Applications and Findings of an Occupational Exposure Database for Synthetic Vitreous Fibers

Cited by 8 publications

References 10 publications

EV@LUTIL: An open access database on occupational exposures to asbestos and man‐made mineral fibres

EV@LUTIL: An open access database on occupational exposures to asbestos and man‐made mineral fibres

The Advanced REACH Tool (ART): Incorporation of an Exposure Measurement Database

Developing a Semi-Quantitative Occupational Risk Prediction Model for Chemical Exposures and Its Application to a National Chemical Exposure Databank

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