Occupational and Environmental Safety and Health VI: Volume 1: Occupational Risk Assessment, Management and Case Studies
J. Santos Baptista · Rui B. Melo · Paula Carneiro · Jacqueline Castelo Branco · Nelson Costa · Joana Duarte · Joana C. Guedes · Gonçalo Perestrelo
Mar 2025 · Studies in Systems, Decision and Control Book 230 · Springer Nature
Ebook
510
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About this ebook
This book gathers cutting-edge research and best practices relating to occupational risk and safety
management, healthcare, and ergonomics. It covers strategies for different industries, such as construction,
chemical, and healthcare. It emphasizes challenges posed by automation, discusses solutions offered by
technologies, and reports on case studies carried out in different countries. Chapters are based on selected
contributions to the 21st International Symposium on Occupational Safety and Hygiene (SHO 2024), held on
July 4-5, 2024, in Porto, Portugal. By reporting on different perspectives, such as the ones from managers,
employees, and OSH professionals, and covering timely issues, such as implications of telework, issues related
to gender inequality and applications of machine learning techniques in occupational health, this book offers
extensive information and a source of inspiration to OSH researchers, practitioners, and organizations
operating in both local and global contexts. This is the first volume of a 2-volume set.
management, healthcare, and ergonomics. It covers strategies for different industries, such as construction,
chemical, and healthcare. It emphasizes challenges posed by automation, discusses solutions offered by
technologies, and reports on case studies carried out in different countries. Chapters are based on selected
contributions to the 21st International Symposium on Occupational Safety and Hygiene (SHO 2024), held on
July 4-5, 2024, in Porto, Portugal. By reporting on different perspectives, such as the ones from managers,
employees, and OSH professionals, and covering timely issues, such as implications of telework, issues related
to gender inequality and applications of machine learning techniques in occupational health, this book offers
extensive information and a source of inspiration to OSH researchers, practitioners, and organizations
operating in both local and global contexts. This is the first volume of a 2-volume set.
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