Project Start
2008-07-01
Project End
2015-06-30
Budget Start
2013-07-01
Budget End
2014-06-30
Support Year
9
Fiscal Year
2013
Total Cost
$268,581
Indirect Cost
$56,930
Name
University of Kentucky
Department
Public Health & Prev Medicine
Type
Schools of Public Health
DUNS #
939017877
City
Lexington
State
KY
Country
United States
Zip Code
40506
Witt, W S; Bunn, T L; Slavova, S (2018) Workers compensation-reported injuries among security and law enforcement personnel in the private versus public sectors. Inj Epidemiol 5:27
Bunn, T L; Slavova, S; Chandler, M et al. (2018) Surveillance of traffic incident management-related occupational fatalities in Kentucky, 2005-2016. Traffic Inj Prev 19:446-453
Bunn, Terry L; Slavova, Svetla; Rock, Peter J (2017) Association between commercial vehicle driver at-fault crashes involving sleepiness/fatigue and proximity to rest areas and truck stops. Accid Anal Prev :
Slavova, Svetla; Bunn, Terry L (2015) Work-related concussion surveillance. Am J Ind Med 58:40-5
Beggs, Jake A; Slavova, Svetla; Bunn, Terry L (2015) Patterns of pneumoconiosis mortality in Kentucky: Analysis of death certificate data. Am J Ind Med 58:1075-82
St Louis, Thomas; Ehrlich, Emily; Bunn, Terry et al. (2014) Proportion of dermatitis attributed to work exposures in the working population, United States, 2011 behavioral risk factor surveillance system. Am J Ind Med 57:653-9
Bunn, Terry L; Slavova, Svetla; Bernard, Andrew C (2014) Work-related injuries in a state trauma registry: relationship between industry and drug screening. J Trauma Acute Care Surg 77:280-5
Bunn, Terry; Slavova, Svetla; Robertson, Medearis (2013) Motor vehicle injuries among semi truck drivers and sleeper berth passengers. J Safety Res 44:51-5
Bush, Ashley M; McKee, Sarah E; Bunn, Terry L (2013) Multiple jobholder mortality patterns in Kentucky: an examination of occupational fatalities. Am J Ind Med 56:881-8
Bunn, T; Singleton, M; Nicholson, V et al. (2013) Concordance of motor vehicle crash, emergency department, and inpatient hospitalization data sets in the identification of drugs in injured drivers. Traffic Inj Prev 14:680-9

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