Author(s)

Ali Ziaee^1*, Shervin Assari², Helia Ghanean³, A. Jalali⁴, Youssef Saleem Abboud⁵

¹Emergency Department, Saudi German Hospital, Dubai, UAE.
²University of Michigan, Michigan, USA.
³Research Associate, UHN, Toronto, Canada.
⁴Karolinska Institute, Sweden.
⁵Emergency Specialist, Saudi German Hospital, Dubai, UAE.

Objectives: Science of surge is one of most important topics in the realm of disaster preparedness. Since 2006, after Academic Emergency Medicine (AEM) Consensus Conference, few articles with quantitative data address decision making in surge capacity. The aim of this article is looking forward to the facts about mathematical modeling and proposes real modeling in decision making to have better outcome. Methods: Literature Research was performed on database for the last ten years (2007-2017). Articles with mathematical modeling were separated and classified based on the usage of them in the field. Results: All current mathematical studies compared based on pre-hospital and hospital setting and flexibility in change of global level of care in time. Integrated model of sigmoid curve and HASC (Hospital Acute Care Surge Capacity) with name B-H integrated modeling in two-hour interval proposed. Conclusion: This study shows dynamic process of disaster planning based on outcome and reality. The proposed model makes surge capacity more predictable and adjustable.

Surge, Capacity, Disaster, Mathematical, and Modeling

Ziaee, A. , Assari, S. , Ghanean, H. , Jalali, A. and Abboud, Y. (2017) How to Approach Real Mathematical Modeling in Surge Capacity: Clinical Review. Open Journal of Emergency Medicine, 5, 85-91. doi: 10.4236/ojem.2017.52008.