Largest immersive Operation Outbreak simulation at Walter Johnson High School!

Students playing an Operation Outbreak sports field at Walter Johnson High School
Students from Walter Johnson High School playing the OO simulation in the sports court area of the school in the morning of October 14th, 2022
Student epidemiologists in the epidemiology station (left), members of the general population getting tested at the triage station (center), and students showing their health status in the app (right).
A screenshot of the symptoms presented by a sick player during the simulation (left). Teacher-led student reflection after the simulation, where students from each group shared their experience and answered questions from their peers (right). BTW, the disease was MRSA, and the students eventually figured it out based on the symptoms, which lead to the availability of an “experimental vaccine.”
Screen captures from the latest version of the OO app (left). Animations of one character showing the possible health states of the player, and all the different characters currently available in the app in the bottom (right).
The OO web editor and visualization dashboard (left), and a picture of the app design & development team with Mansi, Yinan, Hung, and Andi (right).
The plot in the top right area of this video shows the contacts, as detected by the OO app using Bluetooth, between students during the simulation (each circle represents one student with the following color coding: blue=susceptible, orange=infected, gray=dead, green=recovered, violet=vaccinated; coding which applies to the other plots as well), and infections in the moment they take place (with an orange arrow connecting the infecting and susceptible students). Please note that position of the dots does not represent physical location, as the app does not record GPS data, it’s just the way the plot automatically arranges the circles, so they all fit the screen. In the plot in the bottom right, only infected students are shown, and they are added to the plot as they become infected. The lines represent the infections, and all dots remain connected to help understand the growing chains of transmission. The isolated dots are “index cases” that the app assigned randomly since the beginning of the simulation (even though we set only 10 index cases in the parameters of the simulation, it’s clear that there were many more, pointing to a potential bug we need to identify and fix in the app). The three charts on the left side (animated at the same speed so they match the two previous plots) represent, respectively, the number of susceptible, infected, dead, and recovered students over time (top left), number of contacts between pairs of students over time (center left), and number of new cases over time (bottom left).



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Colubri Lab at the University of Massachusetts Medical School