Visualizing 9-1-1 Data for Better Emergency Response

Mass gatherings like sports competitions, concerts, and conferences can pose health risks to spectators, participants, and host communities. These events can be particularly challenging for emergency responders, who need to be prepared for any situation. One way to improve emergency response is by analyzing 9-1-1 call data.

In a recent study, researchers used data from the 2019 Super Bowl LIII festivities to demonstrate how 9-1-1 emergency medical dispatch (EMD) data can be modeled to detect changes in host community 9-1-1 data. The study aimed to improve syndromic surveillance, which is the monitoring of health-related data to identify potential outbreaks or other health issues.

The researchers analyzed 9-1-1 medical calls from three host municipalities during the nine-day period of the Super Bowl festivities. They compared the call volume during the event period to the identical nine-day pre- and post-event periods. The results showed that the mean 24 one-hour interval call volumes for each day of these three periods were significantly different.

To visualize the data, the researchers created a data table, bar graphs, geo-maps, and heat-maps. These visual models helped to illustrate the changes in 9-1-1 call data during the event period. The study's findings can be used to improve emergency response and syndromic surveillance, ultimately saving lives.

The World Cup competition, hosted by large cities in the United States, Canada, and Mexico in June and July 2026, is another example of a mass gathering that requires careful planning and emergency preparedness. By analyzing 9-1-1 call data, emergency responders can be better equipped to handle any situation that may arise during these events.