Gaming to Predict Human Responses to Mass Casualty Events: An Approach for Quick Look Tools for Pandemic Influenza

There is a need to better understand and describe social intelligence in the realm of dealing with mass casualty events, such as pandemic influenza, earthquakes, or other natural or manmade disasters. This social intelligence is needed to be able to accurately feed and drive models and simulations that attempt to describe and quantify human responses to such mass casualty events and potential mitigation strategies that might be used to minimize their impacts by reducing numbers of deaths, injuries, and other societal (e.g., economic) consequences. We propose to attempt to gain a better understanding of social intelligence and socially driven human responses through the use of games and game like interfaces with an application toward infectious diseases.