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Regional Variation in Causes of Injuries among Terrorism Victims for Mass Casualty Events.

Regens JL, Schultheiss A, Mould N - Front Public Health (2015)

Bottom Line: This research article examines variation in regional patterns in the causes of injures associated with 77,258 successful terrorist attacks that occurred between 1970 and 2013 involving the use of explosives, firearms, and/or incendiaries.The objective of this research is to estimate regional variation in the use of different conventional weapons in successful terrorist attacks in each world region on variation in injury cause distributions.Indeed, we find that the distributions of the number of injuries attributable to specific weapons types (i.e., by cause) vary greatly among the 13 world regions identified within the Global Terrorism Database.

View Article: PubMed Central - PubMed

Affiliation: OU Center for Intelligence and National Security, University of Oklahoma Health Sciences Center , Oklahoma City, OK , USA.

ABSTRACT
The efficient allocation of medical resources to prepare for and respond to mass casualty events (MCEs) attributable to intentional acts of terrorism is a major challenge confronting disaster planners and emergency personnel. This research article examines variation in regional patterns in the causes of injures associated with 77,258 successful terrorist attacks that occurred between 1970 and 2013 involving the use of explosives, firearms, and/or incendiaries. The objective of this research is to estimate regional variation in the use of different conventional weapons in successful terrorist attacks in each world region on variation in injury cause distributions. Indeed, we find that the distributions of the number of injuries attributable to specific weapons types (i.e., by cause) vary greatly among the 13 world regions identified within the Global Terrorism Database.

No MeSH data available.


Related in: MedlinePlus

Geographical illustration of regional clusters identified in Table 2.
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Figure 2: Geographical illustration of regional clusters identified in Table 2.

Mentions: In addition, we performed clustering on the MCE injury distributions using the k-means clustering algorithm for vector quantification (9, 18, 19). K-means clustering, originally used for machine learning, groups the observations into a set of distinct clusters in which each observation belongs to the cluster with the nearest mean which makes it possible to partition (i.e., cluster) the data space into Voronoi cells by partitioning a plane into regions based on the distance to points in a specific subset of the plane. Application of k-means clustering organized the data in Table 2 by grouping the distributions into three identified clusters of geographical regions. Figure 2 depicts the clusters geographically using the world region clustering shown in Table 2. The purpose of the clustering is to identify dense regions within the joint distribution of weapons, regions, and injuries. The purpose of identifying dense regions in any distribution is to locate high-probability regions in the sample space. In this specific joint distribution, the dense regions correspond to areas where specific weapon combinations cause large numbers of injuries.


Regional Variation in Causes of Injuries among Terrorism Victims for Mass Casualty Events.

Regens JL, Schultheiss A, Mould N - Front Public Health (2015)

Geographical illustration of regional clusters identified in Table 2.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4538221&req=5

Figure 2: Geographical illustration of regional clusters identified in Table 2.
Mentions: In addition, we performed clustering on the MCE injury distributions using the k-means clustering algorithm for vector quantification (9, 18, 19). K-means clustering, originally used for machine learning, groups the observations into a set of distinct clusters in which each observation belongs to the cluster with the nearest mean which makes it possible to partition (i.e., cluster) the data space into Voronoi cells by partitioning a plane into regions based on the distance to points in a specific subset of the plane. Application of k-means clustering organized the data in Table 2 by grouping the distributions into three identified clusters of geographical regions. Figure 2 depicts the clusters geographically using the world region clustering shown in Table 2. The purpose of the clustering is to identify dense regions within the joint distribution of weapons, regions, and injuries. The purpose of identifying dense regions in any distribution is to locate high-probability regions in the sample space. In this specific joint distribution, the dense regions correspond to areas where specific weapon combinations cause large numbers of injuries.

Bottom Line: This research article examines variation in regional patterns in the causes of injures associated with 77,258 successful terrorist attacks that occurred between 1970 and 2013 involving the use of explosives, firearms, and/or incendiaries.The objective of this research is to estimate regional variation in the use of different conventional weapons in successful terrorist attacks in each world region on variation in injury cause distributions.Indeed, we find that the distributions of the number of injuries attributable to specific weapons types (i.e., by cause) vary greatly among the 13 world regions identified within the Global Terrorism Database.

View Article: PubMed Central - PubMed

Affiliation: OU Center for Intelligence and National Security, University of Oklahoma Health Sciences Center , Oklahoma City, OK , USA.

ABSTRACT
The efficient allocation of medical resources to prepare for and respond to mass casualty events (MCEs) attributable to intentional acts of terrorism is a major challenge confronting disaster planners and emergency personnel. This research article examines variation in regional patterns in the causes of injures associated with 77,258 successful terrorist attacks that occurred between 1970 and 2013 involving the use of explosives, firearms, and/or incendiaries. The objective of this research is to estimate regional variation in the use of different conventional weapons in successful terrorist attacks in each world region on variation in injury cause distributions. Indeed, we find that the distributions of the number of injuries attributable to specific weapons types (i.e., by cause) vary greatly among the 13 world regions identified within the Global Terrorism Database.

No MeSH data available.


Related in: MedlinePlus