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.

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
• Public URL: https://durham-repository.worktribe.com/output/1445332