ArticleInternational journal of environmental research and public health2022
Theoretical Background of Occupational-Exposure Models-Report of an Expert Workshop of the ISES Europe Working Group "Exposure Models".
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed.
- Comparison of measured and modeled data for carcinogen workplace exposure assessment: a case study on chromium trioxide under REACH and OSH frameworks.Annals of work exposures and health · 2026Article
- Integration of Environmental Sustainability Principles and Climate Change Adaptation Measures in Energy Optimization at Gold Mining Operations, South Africa's Free State Operations.Environmental management · 2026Article
- Review on Predictive Models and Integration Strategies for Holistic Impact Assessment of Chemicals and Materials.Environmental science & technology · 2026Review
- Association between the use of e-cigarettes and heated tobacco products and asthma prevalence in adolescents: A secondary dataset analysis of the Korea Youth Risk Behavior Survey 2022-2024.Tobacco induced diseases · 2026Article
- Health Resorts as an integrated community healthcare model for fibromyalgia syndrome: a strategic SWOT analysis.Frontiers in medicine · 2026Article
- Occupational hygiene risk assessment at light speed-a study for protecting worker health and safety in the biopharmaceutical industry.Frontiers in public health · 2025Review
- The Relationship Between Intolerance of Uncertainty and Treatment Adherence: The Moderating Effect of Self-Compassion on the Chain Mediation Model.Patient preference and adherence · 2025Article
- How credible is REACH regulation without transparency, quality criteria, assurance, and control?Open research Europe · 2025Article
- Occupational inhalation exposure during surface disinfection-exposure assessment based on exposure models compared with measurement data.Journal of exposure science & environmental epidemiology · 2024Article
- A generic approach to estimate airborne concentrations of substances released by indoor spray processes using a deterministic 2-box model.Frontiers in public health · 2024Article
- Review of generic scenario environmental release and occupational exposure models used in chemical risk assessment.Journal of occupational and environmental hygiene · 2023Review
- Exposure modelling in Europe: how to pave the road for the future as part of the European Exposure Science Strategy 2020-2030.Journal of exposure science & environmental epidemiology · 2022Review
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Authors and funding
15 authors.
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Abstract
On 20 October 2020, the Working Group "Exposure Models" of the Europe Regional Chapter of the International Society of Exposure Science (ISES Europe) organised an online workshop to discuss the theoretical background of models for the assessment of occupational exposure to chemicals. In this report, participants of the workshop with an active role before and during the workshop summarise the most relevant discussion points and conclusions of this well-attended workshop. ISES Europe has identified exposure modelling as one priority area for the strategic development of exposure science in Europe in the coming years. This specific workshop aimed to discuss the main challenges in developing, validating, and using occupational-exposure models for regulatory purposes. The theoretical background, application domain, and limitations of different modelling approaches were presented and discussed, focusing on empirical "modifying-factor" or "mass-balance-based" approaches. During the discussions, these approaches were compared and analysed. Possibilities to address the discussed challenges could be a validation study involving alternative modelling approaches. The wider discussion touched upon the close relationship between modelling and monitoring and the need for better linkage of the methods and the need for common monitoring databases that include data on model parameters.
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