AI-DRAFTED — PHYSICIAN REVIEW IN PROGRESSThe citation for this entry was checked against Crossref and PubMed, but its summary and interpretation were drafted by an AI model from the published abstract and have not yet been individually read by a physician. Read the linked source before relying on this operationally.
Paper
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ASSOCIATION OF HEAT INDEX andPATIENT VOLUME AT A MASS GATHERING EVENT[1]
Summary
A five-season (1999–2003) retrospective review at a Division I college football stadium (capacity 61,625) tested how closely the game-time heat index tracked patient volume, controlling for attendance via the Pearson correlation. Across 20 games (heat index 33–92; 15–74 patients), there was a strong positive correlation (r=0.607, p<0.005). Linear modeling predicted about three additional patients per 10,000 patrons for every 10-degree rise in the heat index.
So what
Heat index is a strong, quantifiable predictor of event medical volume — roughly +3 patients per 10,000 per 10-degree rise — giving planners a concrete lever to flex staffing to the forecast.
Key findings
- Strong positive correlation between heat index and patient volume (r=0.607, p<0.005).
- ~3 more patients per 10,000 patrons per 10-degree heat-index increase.
- 20 games; heat index 33–92; 15–74 patients per game.
Caveats & model limits
- heat_modifier The field's only quantified heat coefficient. Applied as a demand modifier (added predicted presentations), NEVER an invented staffing multiplier (wiring note 4).
Read the paper
- Publisher (DOI) ↗may be paywalled
- PubMed ↗abstract · free