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Health considerations at major events (mass gatherings)

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Ranse J. (2011). Health considerations at major events (mass gatherings); presented to students of the University of Canberra – Undergraduate Sports Studies in the unit: Sport as entertainment, …

Ranse J. (2011). Health considerations at major events (mass gatherings); presented to students of the University of Canberra – Undergraduate Sports Studies in the unit: Sport as entertainment, Canberra, ACT, 28th September.

Published in: Education, Health & Medicine

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  • ANZ stadium
  • Bradford city stadium fire 5% greater illness / injury rate then in a normal population
  • Not well understood
  • Transcript

    • 1. HEALTH CONSIDERATIONS AT MAJOR EVENTS (MASS GATHERINGS) Jamie Ranse Assistant Professor University of Canberra www.jamieranse.com twitter.com/jamieranse youtube.com/jamieranse linkedin.com/in/jamieranse
    • 2.
      • Definition
      • Conceptual model
      • Workload characteristics
      • Workload prediction
      • Event design
      • Event managers
      • Case studies
      overview
    • 3. definition Class Subclass Persons Resources Example Mass gathering Small 200 – 1,500 Local area Local fair Medium 1,500 – 10,000 Local area Local sports game Large 10,000 – 100,000 Local +/- State Concert Major mass gathering 100,000 – 250,000 State +/- Interstate Music festival Agricultural show Super mass gathering 250,000 – 500,000 State and Interstate Motor sports event Extreme mass gathering 500,000 – 1,000,00 National +/- international Religious festival Mega mass gathering 1,000,000+ National and International Olympics
    • 4. conceptual model
    • 5. workload characteristics
      • Other extreme events
      • Can we predict workload?
      temperature bounded or not ETOH / drug availability humidity participant numbers day / night indoors / outdoors crowd behaviour
      • What factors influence workload / presentations?
      level of onsite care age of participants duration geography
    • 6. workload characteristics and conceptual model
    • 7. workload prediction
      • Why predict workload?
      • What to predict?
        • Patient presentation rate (PPR)
        • 0.14 to 90/1,000 (majority 0.5 and 2.6/1,000)
        • Transport to hospital rate (TTHR)
        • 0.01 to 0.55/1,000
        • Referral to hospital rate
        • 5% - 10% of PPR
      • How?
        • Predictive models
        • Historical prediction
    • 8. workload prediction Royal Adelaide show: 1996 - 2001
    • 9. event design
      • Crowd mood
        • Music festivals
        • Spaces
      • Patient access
    • 10. event managers
      • Health service
        • What level of service do you need?
        • Health risk assessment
    • 11.
      • Event managers
        • Overall risk management
        • Patient information: confidentiality v duty of care
      event managers
    • 12. implications
      • Pre-ambulance (PPR)
      • Pre-hospital (TTHR)
    • 13. implications
      • Pre-ambulance (PPR)
      • Pre-hospital (TTHR)
      • Emergency Department
      • (RTHR)
    • 14. implications
      • Pre-ambulance
      • Pre-hospital
      • Emergency Department
      • Hospital
        • surgery
    • 15.  
    • 16.
      • 8 years
      • 14777 riders
      • 673 presented to St John Ambulance Australia
    • 17.  
    • 18.  
    • 19.  
    • 20.
      • 0.25% referred to hospital (1 every 1990km ridden)
      • 0.06% referred to hospital by ambulance (1 every 36000km)
    • 21.  
    • 22. HEALTH CONSIDERATIONS AT MAJOR EVENTS (MASS GATHERINGS) Jamie Ranse Assistant Professor University of Canberra www.jamieranse.com twitter.com/jamieranse youtube.com/jamieranse linkedin.com/in/jamieranse