title: Analysis of patient load data from the 2002 FIFA World Cup Korea/Japan.
abstract: BACKGROUND
  Past history of mass casualties related to international football games brought the importance of practical planning, preparedness, simulation training, and analysis of potential patient presentations to the forefront of emergency research.
  
  
  METHODS
  The Japanese Ministry of Health, Labor, and Welfare established the Health Research Team (HRT-MHLW) for the 2002 FIFA World Cup game (FIFAWC). The HRT-MHLW collected patient data related to the games and analyzed the related factors regarding patient presentations.
  
  
  RESULTS
  A total of 1661 patients presented for evaluation and care from all 32 games in Japan. The patient presentation rate per 1000 spectators per game was 1.21 and the transport-to-hospital rate was 0.05. The step-wise regression analysis identified that the patient presentations rate increased where access was difficult. As the number of total spectators increased, the patient presentation rate decreased. (p < 0.0001, r = 0.823, r2 = 0.677).
  
  
  CONCLUSIONS
  In order to develop mass-gathering medical-care plans in accordance with the types and sizes of mass gatherings, it is necessary to collect data and examine risk factors for patient presentations for a variety of events.
authors.affiliation: The Health Research Team for Establishment and Evaluation of Guidelines for Mass Casualties at Mass Gatherings, The Ministry of Health, Labor and Welfare, Tokyo, Japan. molimula@mb.kcom.ne.jp
authors.forename: Naoto
authors.initials: N
authors.lastname: Morimura
authors.forename: Atsushi
authors.initials: A
authors.lastname: Katsumi
authors.forename: Yuichi
authors.initials: Y
authors.lastname: Koido
authors.forename: Katsuhiko
authors.initials: K
authors.lastname: Sugimoto
authors.forename: Akira
authors.initials: A
authors.lastname: Fuse
authors.forename: Yasfumi
authors.initials: Y
authors.lastname: Asai
authors.forename: Noboru
authors.initials: N
authors.lastname: Ishii
authors.forename: Toru
authors.initials: T
authors.lastname: Ishihara
authors.forename: Chiho
authors.initials: C
authors.lastname: Fujii
authors.forename: Mitsugi
authors.initials: M
authors.lastname: Sugiyama
authors.forename: Hiroshi
authors.initials: H
authors.lastname: Henmi
authors.forename: Yasuhiro
authors.initials: Y
authors.lastname: Yamamoto
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000846:Anniversaries and Special Events; D002648:Child; D002675:Child, Preschool; D004189:Disaster Planning; D004632:Emergency Medical Services / Q000458:organization & administration / Q000706:statistics & numerical data*; D005260:Female; D005544:Forecasting; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D007564:Japan / Q000453:epidemiology; D007723:Korea / Q000453:epidemiology; D008297:Male; D008875:Middle Aged; D017146:Models, Organizational; D012044:Regression Analysis; D012916:Soccer; D014947:Wounds and Injuries / Q000453:epidemiology*