ArticlePloS one2012
A spatial cluster analysis of tractor overturns in Kentucky from 1960 to 2002.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- An exploratory study on spatiotemporal clustering of suicide in Korean adolescents.Child and adolescent psychiatry and mental health · 2024Article
- Spatial clustering of suicide mortality and associated community characteristics in Kanagawa prefecture, Japan, 2011-2017.BMC psychiatry · 2020Article
- Spatial Heterogeneity and Temporal Trends in Malaria on the Thai⁻Myanmar Border (2012⁻2017): A Retrospective Observational Study.Tropical medicine and infectious disease · 2019Article
- Spatial transmission and meteorological determinants of tuberculosis incidence in Qinghai Province, China: a spatial clustering panel analysis.Infectious diseases of poverty · 2016Article
- Spatial analysis of hemorrhagic fever with renal syndrome in Zibo City, China, 2009-2012.PloS one · 2013Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
backgroundAgricultural 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.
methodsA 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.
resultsThe 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<0.0001).
conclusionsThis study reveals that geographic hotspots of tractor overturns exist in Kentucky and identifies factors associated with overturns. This study provides policymakers a guide to targeted county-level interventions (e.g., roll-over protective structures promotion interventions) with the intention of reducing tractor overturns in the highest risk counties in Kentucky.
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