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 handling mass casualty events such as pandemic influenza, earthquakes, and other natural or manmade disasters. A comprehension of social intelligence is needed in order to accurately feed and drive models and simulations that attempt to describe and quantify human responses to such mass casualty events, which can allow decision makers to identify potential mitigation strategies that might be used to minimize the impacts of these events by reducing numbers of deaths, injuries, and other societal (e.g., economic) consequences. We propose to develop a better understanding of social intelligence and socially driven human responses through the use of games and game-like interfaces with a direct application focused on infectious diseases.
- Research Organization:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (US)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-76RL01830
- OSTI ID:
- 1326164
- Report Number(s):
- PNNL-SA-67193
- Country of Publication:
- United States
- Language:
- English
Similar Records
Economic and policy implications of pandemic influenza.
Targeted Social Distancing Designs for Pandemic Influenza