Work-Related Motor Vehicle Crashes: Reducing the Burden
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2007/12/01
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Series: Grant Final Reports
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Description:Motor vehicle crashes are the major occupational cause of death for American workers. A great deal has been learned about prevention of motor vehicle crashes for the general public; much less known about the underlying causes and effective prevention strategies for work-related motor vehicle crashes. In addition, few studies have focused on non-fatal motor vehicle injuries in the workplace and there is no comprehensive information on the true human and economic costs of work-related motor vehicle crashes. This project uses data collected from a single municipality (City of Philadelphia) to develop a database and prospective record linking system to capture comprehensive data on the number, magnitude, and economic impact of work-related injuries for the 28,000 employees of the City of Philadelphia. 20,357 employees are captured in these data along with 3,645 work-related motor vehicle accidents. We find that while most accidents occur during weekdays, the most expensive accidents tend to occur on weekends and they involve large trucks and younger drivers. [Description provided by NIOSH]
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Pages in Document:1-41
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NIOSHTIC Number:nn:20038134
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NTIS Accession Number:PB2011-103930
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Citation:Atlanta, GA: U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, R01-OH-003419, 2007 Dec; :1-41
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Contact Point Address:Pamela B. Peele, Ph.D., University of Pittsburgh, Graduate School of Public Health, Department of Health Policy & Management, 130 DeSoto Street, Pittsburgh, PA 15261
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Email:peele@pitt.edu
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Federal Fiscal Year:2008
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Performing Organization:University of Pittsburgh at Pittsburgh
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Peer Reviewed:False
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Start Date:19960930
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Source Full Name:National Institute for Occupational Safety and Health
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End Date:20050929
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Main Document Checksum:urn:sha-512:b5ac5f6cc5e3704ab049760adbb3d5c0052e623d9538eb7de99667750c6fcb7f81af30e564df7180bfca4636fa59d6dec07d19f22fed01436f6c15969ec8fbb6
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