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Table 3 Applied cluster detection methods according to spatial resolution and global/local estimation (n = 27 studies)

From: An overview of geospatial methods used in unintentional injury epidemiology

Method Spatial resolution Global/
local
Total studiesa Injury category (number of studies) References
Kernel density estimation point local 10 Road traffic (n = 7)
Falls (n = 2)
Drowning(n = 1)
(Cinnamon et al. 2011; Dai et al. 2013; Lai et al. 2009b; Lai et al. 2011; Lawrence et al. 2015; Morency and Cloutier 2006; Nagata et al. 2011; Schuurman et al. 2009; Slaughter et al. 2014; Weiner and Tepas 2009)
Nearest neighbour
hierarchical
point global 4 Falls (n = 3)
Drowning (n = 1)
(Lai et al. 2009a; Lai et al. 2009b; Lai et al. 2011; Shenoi et al. 2015)
Nearest neighbour
index
point global 1 Road traffic (n = 1) (Nunn and Newby 2015)
Spatial scan statistics point or areal local 4 Falls (n = 2)
Occupational (n = 1) Poisoning(n = 1)
(Dey et al. 2010; Forst et al. 2015; Nkhoma et al. 2004; Yiannakoulias et al. 2003)
Moran’s I areal global 13 Road traffic (n = 8)
Falls (n = 1)
Burns (n = 2)
Drowning (n = 1)
Occupational (n = 1)
(de Pina et al. 2008; Erdogan 2009; Forst et al. 2015; Goltsman et al. 2014; Heng et al. 2015; Jones et al. 2008; Lassarre and Thomas 2005; Lawrence et al. 2015; Nunes and Nascimento 2012; Nunn and Newby 2015; Poulos et al. 2012; Shenoi et al. 2015; Silva et al. 2011)
Geary’s c areal global 2 Road traffic (n = 2) (Erdogan 2009; Lassarre and Thomas 2005)
Local indicators of spatial association areal local 5 Road traffic (n = 3)
Drowning (n = 1)
Falls (n = 1)
(Dai et al. 2013; de Pina et al. 2008; Erdogan 2009; Nunes and Nascimento 2012; Nunn and Newby 2015)
Getis Ord statistics areal local 4 Road traffic (n = 3)
Burn (n = 1)
(Erdogan 2009; Goltsman et al. 2014; Slaughter et al. 2014; Statter et al. 2011)
  1. atotal number of studies by injury category is not equal to (n = 27) because some studies applied more than one method in a single study