239167 Investigating Work Related Injuries/Fatalities in regions affected by Hurricane Katrina using Poisson Regression and Negative Binomial Regression Models

Tuesday, November 1, 2011

Ashley Pierre-Saint, BS, MSPH student , School of Graduate Studies and Research, Meharry Medical College, Nashville, TN
Chau-Kuang Chen, EDD , Institutional Research, Meharry Medical College, Nashville, TN
Shanda Vereen, BS , School of research and Graduate Studies, Meharry Medical College, Nashville, TN
Camillia Comeaux, BS , School of Graduate Studies and Research, Meharry Medical College, Nashville, TN
Data from the Census of Fatal Occupational Injuries (CFOI), collected by the Bureau of Labor Statistics (BLS), provide information on fatal occupational injuries that occur in the United States. Since 1992, when the BLS first introduced CFOI, BLS has annually reported data on fatal occupational injuries from all 50 states and the District of Columbia. In 2005, BLS reported a total of 5,702 work-related fatal injuries and a rate of 4.0 deaths per 100,000 workers (CDC MMWR, 2007). In this study data was collected at state level from the CDC Wonder, the U.S. Census Bureau and the Bureau of Labor Statistics from 2000 to 2007. The purpose of this study is to investigate work related injuries/fatalities pre and post Hurricane Katrina between the four major states affected compared to the rest of the United States. Variables such as state unemployment rate, state employment rate in all industries, state poverty rate, and population estimate occupation were entered into the Poisson Regression and Negative Binomial Regression Models. The literature on the Poisson regression model often discusses individually specification and prediction of the model and its variants and specification testing in the context of the basic model. The Poisson model arises in many contexts as the probability distribution for the distinct count of the number of occurrences of an event.

Learning Areas:
Biostatistics, economics
Occupational health and safety

Learning Objectives:
Identify risk factors related to work related injuries and fatalities. Compare injuries before and after Hurricane Katrina. Analyze using Poisson regression and negative binomial regression.

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: MSPH student familiar with Biostatistics techniques. Working under the supervision of Biostatistics professor Dr.Chen.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.

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