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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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Risk Assessment Tools for Mass Gatherings: a Narrative Review[1]

Shabani E, Ghasempour A, Nazari F, Fini HN · 2026 · J Epidemiol Glob Health

Summary

SANRA-guided narrative review (PubMed/Scopus/Google Scholar + WHO documents) of formal risk-assessment tools for mass gatherings. Six key tools identified and compared: the WHO tool, the Jeddah tool, India's MGRAT, Sweden's MAGRAT, and Saudi Arabia's SALEM framework — spanning multi-hazard assessment, reputational-risk analysis, interagency collaboration, and resource-limited adaptations. Global tools are comprehensive and adaptable; regional tools have proven out in specific cultural/religious contexts. Gaps: uneven event-type coverage and lack of technology integration in low-income settings. Calls for standardization and for combining localized and global tools with AI and real-time data.

So what

The catalogue MGMI's planning pages need: it names, sources, and compares the six formal risk-assessment instruments actually in use — the structured upstream complement to the PPR models (which predict load) and the SAG process (which governs). For a US planner the practical takeaway is that no American tool appears on the list: the WHO tool is the default import, and the SALEM/Jeddah lineage shows what a mature national framework looks like. Shelf candidate links to each named tool.

Key findings

  • Six formal tools compared: WHO, Jeddah, MGRAT (India), MAGRAT (Sweden), SALEM (Saudi)
  • Approaches span multi-hazard, reputational risk, interagency collaboration
  • Regional tools validated in cultural/religious context; WHO tool the adaptable global default
  • No US-origin tool in the field - notable gap for American planners
  • Calls for standardization + AI/real-time data integration; free PMC full text

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