PubMed · 7120938
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S Sheffrin. 1982. Electric burn.. https://doi.org/10.1093/occmed%2F32.1.148
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In this epidemiological study, deaths resulting from external causes in 1999 and 2000 among males (age 15-64 years) in Campinas, São Paulo State were analyzed through interviews with their relatives. We attempted to correlate this incidence with individual occupational history, allowing the characterization of these events as work-related injuries. The proportional death rate due to work-related injuries was estimated at 27% in this group. None of the death certificates we analyzed had "yes" specified in the appropriate work-related injury field. Based on these results, official data from the Brazilian Ministry of Labor on the number of deaths resulting from work-related injuries in this period in the State of São Paulo is underestimated by 83.4%. The vast majority of fatal work-related injuries were homicides and traffic accidents, reflecting an increase in violence in this Brazilian city.
The Chemical Accidents Response Information System (CARIS) was developed at the Center for Chemical Safety Management in South Korea in order to track and predict the dispersion of hazardous chemicals in the case of an accident or terrorist attack involving chemical companies. The main objective of CARIS is to facilitate an efficient emergency response to hazardous chemical accidents by rapidly providing key information in the decision-making process. In particular, the atmospheric modeling system implemented in CARIS, which is composed of a real-time numerical weather forecasting model and an air pollution dispersion model, can be used as a tool to forecast concentrations and to provide a wide range of assessments associated with various hazardous chemicals in real time. This article introduces the components of CARIS and describes its operational modeling system. Some examples of the operational modeling system and its use for emergency preparedness are presented and discussed. Finally, this article evaluates the current numerical weather prediction model for Korea.
The risk for roadway crashes associated with driving or riding in a motor vehicle at work affects millions of persons in the United States. In 2001, approximately 4.2 million U.S. workers were classified as motor-vehicle operators (Bureau of Labor Statistics [BLS], unpublished data, 2001). Workers who use motor vehicles to perform their jobs include those who operate vehicles owned or leased by their employers and those who drive personal vehicles for work purposes. To characterize fatal occupational roadway crashes and identify workers at highest risk for fatality, CDC analyzed data for 1992-2002 from the Fatality Analysis Reporting System (FARS) of the National Highway Traffic Safety Administration and the Census of Fatal Occupational Injuries (CFOI) of BLS. This report summarizes the results of that analysis, which indicated that roadway crashes were the leading cause of occupational fatalities and that workers in transportation-related occupations were at highest risk. Effective strategies to prevent motor-vehicle-related crashes in the general public also can reduce work-related crashes. Employers should promote safe driving through vehicle selection and company policy.