The quest for meaningful and accurate occupational health and safety statistics.

To help mark the Monthly Labor Review's centennial, the Review invited several producers and users of BLS data to take a look back at the last 100 years. This installment of the anniversary series comes from the Bureau's Occupational Safety and Health Statistics (OSHS) program. The U.S. Bureau of La...

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Publicado en:Monthly Labor Review pp. 1 - 20
Autor principal: Drudi, Dino
Formato: Artículo
Publicado: US Department of Labor Dec2015
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: The quest for meaningful and accurate occupational health and safety statistics.
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        au: Drudi, Dino
        affil: Dino Drudi is an economist in the Office of Safety, Health, and Working Conditions, U.S. Bureau of Labor Statistics
      su:
        United States. Bureau of Labor Statistics
        United States. Occupational Safety & Health Administration
        Technological innovations
        Ergonomics
        Work-related injuries
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        subj:
          Technological innovations
          Ergonomics
          United States. Bureau of Labor Statistics
          United States. Occupational Safety & Health Administration
          Administration of General Economic Programs
          Regulation, Licensing, and Inspection of Miscellaneous Commercial Sectors
          Work-related injuries
      ab: To help mark the Monthly Labor Review's centennial, the Review invited several producers and users of BLS data to take a look back at the last 100 years. This installment of the anniversary series comes from the Bureau's Occupational Safety and Health Statistics (OSHS) program. The U.S. Bureau of Labor Statistics collects and publishes data on occupational injuries and illnesses. The OSHS program administers these efforts and has evolved for the purpose of collecting more accurate and complete data. Over time, this evolution has required a variety of changes, including new classification systems, recordkeeping procedures, injury and illness categorization, data collection methods, and coding schemes.
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    language: English
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