Table 1 Patient Characteristics in event A and event B
From: Could we employ the queueing theory to improve efficiency during future mass causality incidents?
|  | Event A (n = 41) | Event B (n = 47) |
|---|---|---|
Age, year, Median (Range) | 27 (20–39) | 20 (19–24) |
Gender, No. (%) | ||
 Male | 14 (34.15%) | 20 (42.55%) |
 Female | 27 (65.85%) | 27 (57.45%) |
Triage, No. (%) | ||
 1 | 1 (2.44%) | 32 (68.09%) |
 2 | 4 (9.76%) | 4 (8.51%) |
 3 | 27 (65.85%) | 11 (23.4%) |
 4 | 9 (21.95%) | 0 (0%) |