Erika Scott1, Liane Hirabayashi1, Nathan Jones2, Nicole Krupa3, Paul Jenkins3. 1. New York Center for Agricultural Medicine and Health, Northeast Center for Occupational Health and Safety, Bassett Medical Center, Cooperstown, NY, USA. 2. T.H. Chan School of Public Health, Harvard University, Boston, MA, USA. 3. Bassett Research Institute, Bassett Medical Center, Cooperstown, NY, USA.
Abstract
Objective: The Centers for Disease Control and Prevention (CDC) data have shown that agriculture, forestry, and fishing as an occupational group have the third highest rate of work-related roadway crashes. Agriculture-related crashes have been explored in the Midwest and South; however, we know little about agriculture-related crashes in the Northeast, especially in New York. Methods: To better understand this, researchers obtained motor vehicle crash data from 2010 to 2012 from the New York State Department of Motor Vehicles (NYSDMV). These data were then filtered to agriculture-related cases by both vehicle registration type and vehicle body type. Results: We identified 203 agriculture-related vehicle crashes, involving 381 vehicles and 482 people. Of the agriculture incidents, 91.6% caused property damage, while 36.0% caused injury. The case fatality rate for roadway vehicle crashes was nearly five times as great (2.0/0.4 = 5.00) for agriculture versus non-agriculture crashes (p = 0.0003). Conclusion: Using these data as a supplement to the New York Center for Agricultural Medicine and Health's existing surveillance system provided information useful in setting priorities involving roadway safety.
Objective: The Centers for Disease Control and Prevention (CDC) data have shown that agriculture, forestry, and fishing as an occupational group have the third highest rate of work-related roadway crashes. Agriculture-related crashes have been explored in the Midwest and South; however, we know little about agriculture-related crashes in the Northeast, especially in New York. Methods: To better understand this, researchers obtained motor vehicle crash data from 2010 to 2012 from the New York State Department of Motor Vehicles (NYSDMV). These data were then filtered to agriculture-related cases by both vehicle registration type and vehicle body type. Results: We identified 203 agriculture-related vehicle crashes, involving 381 vehicles and 482 people. Of the agriculture incidents, 91.6% caused property damage, while 36.0% caused injury. The case fatality rate for roadway vehicle crashes was nearly five times as great (2.0/0.4 = 5.00) for agriculture versus non-agriculture crashes (p = 0.0003). Conclusion: Using these data as a supplement to the New York Center for Agricultural Medicine and Health's existing surveillance system provided information useful in setting priorities involving roadway safety.