A casualty network analysis in non-major combat operations. (January 2016)

• Record Type: Journal Article
• Authors: Bastian, Nathaniel D; Fulton, Lawrence V; Griffin, Paul M; Sung, Yi-Shan; Kumara, Soundar
• Is Part Of: Journal of defense modeling and simulation. Volume 13:Number 1(2016:Jan.)
• Page Start: 95
• Page End: 108
• Publication Date: 2016-01
• Subjects: Complex networks -- graph mining -- network visualization -- pattern recognition -- military casualties -- non-major combat operations; Military art and science -- Computer simulation -- Periodicals; 355.0011305
• DOI: 10.1177/1548512915585885
• Languages: English
• ISSNs: 1548-5129

Abstract

Understanding the causes, types and locations of military casualties likely to be incurred during non-major combat operations is essential to effectively plan for medical resources required to support those operations, yet the threats posed are varied and complex. The dynamic environment that sustains non-major combat operations creates a challenge to diagnose the factors leading to casualties in these operations. We employ a network analytic approach to discover and explore the underlying casualty incident patterns in this complex, real-world operating environment. The aim of this study is to better understand the medical effect of health and irregular general threats. Discovery of these casualty incident patterns proves insightful to military medical planners and commanders.