9-1-1 Call Data Modeling to Assess the Influence of a Mass Gathering on Host Community Metrics for Syndromic Surveillance

This study aims to assess how 9-1-1 emergency medical dispatch data can be modeled to detect changes in health metrics of host communities during mass gatherings, specifically using data from the Super Bowl LIII festivities. The authors analyze call volumes related to hypothermia, traffic incidents, and violence-induced injuries across pre-, during, and post-event periods to enhance syndromic surveillance. The findings suggest that 9-1-1 call data can reveal trends indicative of health risks associated with such large events, thereby improving community health monitoring.