TEXAS: a Tool for EXposure ASsessment--Statistical Models for Estimating Occupational Exposure to Chemical Agents.
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| Title: | TEXAS: a Tool for EXposure ASsessment--Statistical Models for Estimating Occupational Exposure to Chemical Agents. |
|---|---|
| Authors: | Clerc, Frédéric1 frederic.clerc@inrs.fr, Bertrand, Nicolas1, Vincent, Raymond1 |
| Source: | Annals of Occupational Hygiene. Apr2015, Vol. 59 Issue 3, p277-291. 15p. |
| Subjects: | Databases, Experimental design, Inorganic compounds, Research methodology, Metals, Probability theory, Research funding, Occupational hazards, Environmental exposure, Software architecture, Predictive validity, Content mining, Data analysis software, Statistical models, Descriptive statistics |
| Abstract: | Measurements of occupational exposure to chemical agents are performed by sampling and analyzing workplace atmospheres. In France, this is done by the industrial hygienists of the prevention network of the Social Security Service, who collect and then enter the data in the COLCHIC database. More than 900 000 measurements performed in French companies over the past 25 years have been collected. Using this amount of data is major challenge for obtaining knowledge and predicting occupational exposures. This study presents the way in which statistical models are built and used on the basis of almost 19 000 recent measurements of 26 frequent chemical substances. For a given substance, the models use 13 exposure determinants as inputs, such as the task performed, the occupation of the operator or the type of process employed. The models permit to estimate two parameters: the geometric mean and geometric standard deviation. These parameters are used to build an exposure profile. By combining them with the limit value, an exposure index is estimated using a Bayesian network. A decision rule based on the interpretation of this probability is proposed to qualify the predicted situation as 'well-controlled situation', controlled situation', and 'poorly controlled situation'. On the basis of this decision rule, 62% of predictions are true for all substances confounded, an average of 36% of predictions are approximate and only 2% of them are wrong. The result of this study led to the development of a pragmatic software tool named TEXAS, tool for exposure assessment, which enables industrial hygienists to obtain a rapid estimation of the level of exposure control as a function of simple determinants of work situations. [ABSTRACT FROM AUTHOR] |
| Copyright of Annals of Occupational Hygiene is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 102805563 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: TEXAS: a Tool for EXposure ASsessment--Statistical Models for Estimating Occupational Exposure to Chemical Agents. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Clerc%2C+Frédéric%22">Clerc, Frédéric</searchLink><relatesTo>1</relatesTo><i> frederic.clerc@inrs.fr</i><br /><searchLink fieldCode="AR" term="%22Bertrand%2C+Nicolas%22">Bertrand, Nicolas</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Vincent%2C+Raymond%22">Vincent, Raymond</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Annals+of+Occupational+Hygiene%22">Annals of Occupational Hygiene</searchLink>. Apr2015, Vol. 59 Issue 3, p277-291. 15p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Databases%22">Databases</searchLink><br /><searchLink fieldCode="DE" term="%22Experimental+design%22">Experimental design</searchLink><br /><searchLink fieldCode="DE" term="%22Inorganic+compounds%22">Inorganic compounds</searchLink><br /><searchLink fieldCode="DE" term="%22Research+methodology%22">Research methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Metals%22">Metals</searchLink><br /><searchLink fieldCode="DE" term="%22Probability+theory%22">Probability theory</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Occupational+hazards%22">Occupational hazards</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+exposure%22">Environmental exposure</searchLink><br /><searchLink fieldCode="DE" term="%22Software+architecture%22">Software architecture</searchLink><br /><searchLink fieldCode="DE" term="%22Predictive+validity%22">Predictive validity</searchLink><br /><searchLink fieldCode="DE" term="%22Content+mining%22">Content mining</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+models%22">Statistical models</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Measurements of occupational exposure to chemical agents are performed by sampling and analyzing workplace atmospheres. In France, this is done by the industrial hygienists of the prevention network of the Social Security Service, who collect and then enter the data in the COLCHIC database. More than 900 000 measurements performed in French companies over the past 25 years have been collected. Using this amount of data is major challenge for obtaining knowledge and predicting occupational exposures. This study presents the way in which statistical models are built and used on the basis of almost 19 000 recent measurements of 26 frequent chemical substances. For a given substance, the models use 13 exposure determinants as inputs, such as the task performed, the occupation of the operator or the type of process employed. The models permit to estimate two parameters: the geometric mean and geometric standard deviation. These parameters are used to build an exposure profile. By combining them with the limit value, an exposure index is estimated using a Bayesian network. A decision rule based on the interpretation of this probability is proposed to qualify the predicted situation as 'well-controlled situation', controlled situation', and 'poorly controlled situation'. On the basis of this decision rule, 62% of predictions are true for all substances confounded, an average of 36% of predictions are approximate and only 2% of them are wrong. The result of this study led to the development of a pragmatic software tool named TEXAS, tool for exposure assessment, which enables industrial hygienists to obtain a rapid estimation of the level of exposure control as a function of simple determinants of work situations. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Annals of Occupational Hygiene is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/annhyg/meu094 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 277 Subjects: – SubjectFull: Databases Type: general – SubjectFull: Experimental design Type: general – SubjectFull: Inorganic compounds Type: general – SubjectFull: Research methodology Type: general – SubjectFull: Metals Type: general – SubjectFull: Probability theory Type: general – SubjectFull: Research funding Type: general – SubjectFull: Occupational hazards Type: general – SubjectFull: Environmental exposure Type: general – SubjectFull: Software architecture Type: general – SubjectFull: Predictive validity Type: general – SubjectFull: Content mining Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Statistical models Type: general – SubjectFull: Descriptive statistics Type: general Titles: – TitleFull: TEXAS: a Tool for EXposure ASsessment--Statistical Models for Estimating Occupational Exposure to Chemical Agents. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Clerc, Frédéric – PersonEntity: Name: NameFull: Bertrand, Nicolas – PersonEntity: Name: NameFull: Vincent, Raymond IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2015 Type: published Y: 2015 Identifiers: – Type: issn-print Value: 00034878 Numbering: – Type: volume Value: 59 – Type: issue Value: 3 Titles: – TitleFull: Annals of Occupational Hygiene Type: main |
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