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Related Experiment Videos

Predicting resource use at mass gatherings using a simplified stratification scoring model.

Nicholas Hartman1, Allen Williamson, Benjamin Sojka

  • 1Department of Emergency Medicine, University of Virginia, Charlottesville, VA 22908, USA.

The American Journal of Emergency Medicine
|March 31, 2009
PubMed
Summary

Predicting medical needs at mass gatherings is possible using a scoring system that considers weather, attendance, alcohol, demographics, and crowd intentions. This classification system helps estimate resource demand for minor, intermediate, and major events.

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Area of Science:

  • Emergency Medicine
  • Public Health
  • Event Management

Background:

  • Mass gathering events present unpredictable medical resource demands.
  • Accurate prediction of medical needs is crucial for effective resource allocation.

Purpose of the Study:

  • To develop and validate a predictive classification system for medical needs at mass gatherings.
  • To stratify events based on potential medical resource requirements.

Main Methods:

  • Retrospective analysis of 55 mass gathering events near a university.
  • Development of a scoring system incorporating weather, attendance, alcohol, demographics, and crowd intentions.
  • Categorization of events into 'minor,' 'intermediate,' and 'major' classes.

Main Results:

  • The classification system accurately predicted resource demand across the three event categories.
  • Events classified as 'minor,' 'intermediate,' and 'major' had average contacts of 2.3, 6.3, and 71, respectively.
  • Trends in minor/major encounters and transports were consistent with classifications.

Conclusions:

  • A classification system based on event factors can effectively predict medical needs at mass gatherings.
  • The system shows high accuracy for minor and intermediate events.
  • Major events were less precisely described by the current classification system.