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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%)