Statistics - United States
NIOSH Worker Health Chartbook
Health Chartbook, 2000
presents national and state occupational health data and statistics, graphically
describing the burden of our Nation's occupational injuries and illnesses. More
than 40 scientists from federal and state agencies collaborated to present
health surveillance information in the Chartbook's 172 charts and data tables.
The Chartbook has a descriptive focus, presenting data and charts that
characterize types of injuries and illnesses by gender, race, industry, and
occupation. The Chartbook also provides comprehensive reference materials,
including appendices describing the 18 surveillance and statistical systems, and
the industry and occupation classification systems.
Occupational Injury Data - Identifying
problems in traumatic injury research, as in much of public health, is driven by
surveillance. Surveillance is "the ongoing collection, analysis and
interpretation of health data in the process of describing and monitoring a
health [injury] event." For occupational safety research, this refers to
the collection, analysis, and interpretation of data on injuries, hazards, and
exposures for identifying potential risk factors for further research, and for
prevention planning and intervention evaluation.
The NIOSH Surveillance
Occupational Injuries, Illnesses, and Hazards
has been an integral part of the National Institute for Occupational Safety and
Health (NIOSH) since its creation by the Occupational Safety and Health Act in
1970. In collaboration with its many partners, NIOSH has established
surveillance programs to help describe the magnitude of occupational hazards,
diseases, and injuries in the U.S. These surveillance activities have often
documented the Nation's progress in reducing the burden of work-related diseases
and injuries. They have also identified many old and new problems that require
additional research and prevention efforts. Despite these accomplishments,
occupational health surveillance in the U.S. remains fragmented, with
substantial data gaps.
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