Special Issue "Modeling Tools for Occupational Exposure Assessment"

Special Issue Editors

Prof. Domenico M. Cavallo
E-Mail Website
Guest Editor
Department of Science and High Technology, University of Insubria, Como, Italy
Interests: environmental and occupational health and safety; occupational and environmental hygiene; risk assessment; risk management; human exposure assessment; chemical risk assessment; air pollution; occupational exposure to nanoparticles and nanomaterials; exposure modeling; indoor air quality; health impact assessment; chemical risk assessment and management
Special Issues and Collections in MDPI journals
Dr. Andrea Spinazzè
E-Mail Website
Guest Editor
Department of Science and High Technology, University of Insubria, Como, Italy
Interests: environmental and occupational health and safety; occupational and environmental hygiene; risk assessment; risk management; human exposure assessment; atmopsheric aerosol; chemical risk assessment; air quality; air pollution
Special Issues and Collections in MDPI journals
Ms. Francesca Borghi
E-Mail Website
Guest Editor
Department of Science and High Technology, University of Insubria, Como, Italy
Interests: environmental and occupational health and safety; occupational and environmental hygiene; risk assessment; risk management; human exposure assessment; atmospheric aerosol; chemical risk assessment; air quality; air pollution; exposure modeling
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

The evaluation of occupational exposure to chemicals can be performed through instrumental measurements (environmental monitoring) or, alternatively, by means of modelling tools for estimating occupational exposure. Regarding this last issue, a certain number of tools, generally consisting of mathematical models, have been developed for the quantitative estimation of occupational exposure to chemical agents. Exposure assessment models are generally considered as useful tools for exposure assessors to deal with risk assessments in several exposure scenarios. However, available studies show that more knowledge is needed about model functionalities, applicability domain, refinement, validation, magnitude of uncertainties, and model reliability.

Therefore, this Special Issue aims to present original research articles, reviews, and short communications concerning the following:

  • Possible applications and performance evaluation (in terms of accuracy, precision, conservatism, inter-assessor/inter-rater reliability, etc.) of exposure modelling tools;
  • Case studies concerning exposure assessment in occupational settings by means of modelling tools for inhalation or dermal exposure to chemicals;
  • Design, development, and improvement of new exposure modelling tools or of new features of modelling tools conceived and specifically designed for occupational exposure to chemicals.

Prof. Domenico M. Cavallo
Dr. Andrea Spinazzè
Ms. Francesca Borghi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • exposure modeling
  • occupational exposure assessment
  • accuracy
  • robustness
  • validity
  • reliability
  • occupational exposure models
  • REACH

Published Papers (1 paper)

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Review

Open AccessReview
How to Obtain a Reliable Estimate of Occupational Exposure? Review and Discussion of Models’ Reliability
Int. J. Environ. Res. Public Health 2019, 16(15), 2764; https://doi.org/10.3390/ijerph16152764 - 02 Aug 2019
Abstract
Evaluation and validation studies of quantitative exposure models for occupational exposure assessment are still scarce and generally only consider a limited number of exposure scenarios. The aim of this review was to report the current state of knowledge of models’ reliability in terms [...] Read more.
Evaluation and validation studies of quantitative exposure models for occupational exposure assessment are still scarce and generally only consider a limited number of exposure scenarios. The aim of this review was to report the current state of knowledge of models’ reliability in terms of precision, accuracy, and robustness. A systematic review was performed through searches of major scientific databases (Web of Science, Scopus, and PubMed), concerning reliability of Tier1 (“ECETOC TRA”-European Centre for Ecotoxicology and Toxicology of Chemicals Targeted Risk Assessment, MEASE, and EMKG-Expo-Tool) and Tier2 models (STOFFENMANAGER® and “ART”-Advanced Registration, Evaluation, Authorization and Restriction of Chemicals (REACH) Tool). Forty-five studies were identified, and we report the complete information concerning model performance in different exposure scenarios, as well as between-user reliability. Different studies describe the ECETOC TRA model as insufficient conservative to be a Tier1 model, in different exposure scenarios. Contrariwise, MEASE and EMKG-Expo-Tool seem to be conservative enough, even if these models have not been deeply evaluated. STOFFENMANAGER® resulted the most balanced and robust model. Finally, ART was generally found to be the most accurate and precise model, with a medium level of conservatism. Overall, the results showed that no complete evaluation of the models has been conducted, suggesting the need for correct and harmonized validation of these tools. Full article
(This article belongs to the Special Issue Modeling Tools for Occupational Exposure Assessment)
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