Modeling uncertain and dynamic casualty health in optimization-based decision support for mass casualty incident response

Wilson, D.T.; Hawe, G.I.; Coates, G.; Crouch, R.S.

doi:10.4018/jiscrm.2013040103

Modeling uncertain and dynamic casualty health in optimization-based decision support for mass casualty incident response

Wilson, D.T.; Hawe, G.I.; Coates, G.; Crouch, R.S.

Authors

D.T. Wilson

G.I. Hawe

G. Coates

R.S. Crouch

Abstract

When designing a decision support program for use in coordinating the response to Mass Casualty Incidents, the modelling of the health of casualties presents a significant challenge. In this paper we propose one such health model, capable of acknowledging both the uncertain and dynamic nature of casualty health. Incorporating this into a larger optimisation model capable of use in real-time and in an online manner, computational experiments examining the effect of errors in health assessment, regular updates of health and delays in communication are reported. Results demonstrate the often significant impact of these factors.

Citation

Wilson, D., Hawe, G., Coates, G., & Crouch, R. (2013). Modeling uncertain and dynamic casualty health in optimization-based decision support for mass casualty incident response. International Journal of Information Systems for Crisis Response and Management, 5(2), 32-44. https://doi.org/10.4018/jiscrm.2013040103

Journal Article Type	Article
Publication Date	Jun 1, 2013
Deposit Date	Jan 17, 2014
Publicly Available Date	Mar 20, 2015
Journal	International Journal of Information Systems for Crisis Response and Management
Print ISSN	1937-9390
Electronic ISSN	1937-9420
Publisher	IGI Global
Peer Reviewed	Peer Reviewed
Volume	5
Issue	2
Pages	32-44
DOI	https://doi.org/10.4018/jiscrm.2013040103