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A Spatial Cluster Analysis of Tractor Overturns in Kentucky from 1960 to 2002

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  • Daniel M Saman
  • Henry P Cole
  • Agricola Odoi
  • Melvin L Myers
  • Daniel I Carey
  • Susan C Westneat

Abstract

Background: Agricultural tractor overturns without rollover protective structures are the leading cause of farm fatalities in the United States. To our knowledge, no studies have incorporated the spatial scan statistic in identifying high-risk areas for tractor overturns. The aim of this study was to determine whether tractor overturns cluster in certain parts of Kentucky and identify factors associated with tractor overturns. Methods: A spatial statistical analysis using Kulldorff's spatial scan statistic was performed to identify county clusters at greatest risk for tractor overturns. A regression analysis was then performed to identify factors associated with tractor overturns. Results: The spatial analysis revealed a cluster of higher than expected tractor overturns in four counties in northern Kentucky (RR = 2.55) and 10 counties in eastern Kentucky (RR = 1.97). Higher rates of tractor overturns were associated with steeper average percent slope of pasture land by county (p = 0.0002) and a greater percent of total tractors with less than 40 horsepower by county (p

Suggested Citation

  • Daniel M Saman & Henry P Cole & Agricola Odoi & Melvin L Myers & Daniel I Carey & Susan C Westneat, 2012. "A Spatial Cluster Analysis of Tractor Overturns in Kentucky from 1960 to 2002," PLOS ONE, Public Library of Science, vol. 7(1), pages 1-9, January.
    • Handle: RePEc:plo:pone00:0030532
    DOI: 10.1371/journal.pone.0030532
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