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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.
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Assessing health risks and preparedness strategies in mass-gathering religious events: a retrospective observational study[1]

Summary

Retrospective analysis of 1,637 pilgrimage-related ED visits across the Mazu processional pilgrimage in Taiwan, 2018-2024. Case mix: trauma 53.7%, soft-tissue injury 28.1%, heat-related illness 16.1%. Visit volume was predicted by procession start/end days, cumulative walking distance, and ambient temperature — the moving-event analogues of fixed-venue crowd and weather predictors.

So what

The first substantial dataset from a PROCESSIONAL (moving) mass gathering outside the Hajj/Arbaeen corridor — a nine-day, multi-town route where the "venue" is a road network. Trauma dominance (53.7%) inverts the medical-heavy case mix of fixed festivals, and the predictor set (route-day, cumulative distance, temperature) gives route-based events their own forecasting variables. Fills the East-Asian religious-event gap alongside Tiwari (Kumbh RTA) and Ghanbari (Arbaeen); directly useful for any parade/marathon/procession planning page. Free PMC.

Key findings

  • 1,637 ED visits over 7 years of the Mazu processional pilgrimage
  • Case mix inverted vs fixed venues: trauma 53.7%, soft tissue 28.1%, heat 16.1%
  • Predictors: start/end procession days, cumulative walking distance, temperature
  • Route-based (moving-event) forecasting variables demonstrated
  • Fills the East-Asian processional gap with Tiwari and Ghanbari; free PMC

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