Researchers at University of Iowa Leverage OneRiot's Realtime Index of the Social Web to Monitor and Track Anxiety about Infectious Diseases
Iowa City, Iowa (vocus) April 29, 2009 -- Researchers at the University of Iowa today announced a major study to track public perception of the swine flu outbreak and other infectious diseases, utilizing a unique, realtime index of the social web from OneRiot.
The project, Social Web Information Monitoring for Health, dubbed “SWIM for Health,” has the potential to enhance disease tracking and forecasting by harnessing the power of the social web. OneRiot’s technology organizes social information from across the web in realtime – including updates from Twitter and Facebook, recent blog posts, current popular search queries and other web usage activity – to provide a realtime index of information from the social web.
SWIM for Health is being conducted as part of the University of Iowa’s interdisciplinary Computational Epidemiology research group (CompEpi). The Iowa CompEpi group applies computational methods to help solve public health problems, including new disease surveillance methods and harnessing technology for disease prevention.
According to Iowa CompEpi faculty Philip Polgreen, Assistant Professor of Internal Medicine, “Analyzing and aggregating realtime data from the social web is a unique enhancement to traditional disease surveillance systems.”
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