Probabilistic model for assessing occupational risk during the handling of nanomaterials

• Published in: Nanotoxicology Vol. 14; no. 9; pp. 1258 - 1270
• Main Authors: Schmidt, José Renato Alves, Nogueira, Diego José, Nassar, Silvia Modesto, Vaz, Vitor Pereira, da Silva, Marlon Luiz Neves, Vicentini, Denice Schulz, Matias, William Gerson
• Format: Journal Article
• Language: English
• Published: England Taylor & Francis 20.10.2020; Taylor & Francis Ltd
• Subjects: Air Pollutants, Occupational - chemistry; Air Pollutants, Occupational - toxicity; Bayes Theorem; Bayesian analysis; Bayesian network; Control equipment; Decision making; Exposure; Handling; Hazards; Humans; Laboratories; Laboratories - standards; Laboratories - statistics & numerical data; Mathematical models; Models, Statistical; Nanomaterials; Nanostructures - chemistry; Nanostructures - toxicity; Nanotechnology; Occupational exposure; Occupational Exposure - adverse effects; Occupational Exposure - prevention & control; Occupational Exposure - statistics & numerical data; Occupational health; occupational health and safety; Probabilistic models; Protective Devices; Risk; Risk assessment; Risk Assessment - statistics & numerical data; Risk reduction; Safety Management; Working conditions; Workplace - standards; Workplace - statistics & numerical data; Risk; nanomaterials; occupational health and safety; Bayesian network

Exposure to nanomaterials (NMs) can be considered as human, occupational or environmental. Occupational exposure may be experienced by the workers and/or researchers who develop and produce these products and the hazards inherent to exposure are not yet fully known. Quantitative and qualitative meth...