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Updated: Jun 11, 2026

High-throughput Detection Method for Influenza Virus
Published on: February 4, 2012
Text and structural data mining of influenza mentions in Web and social media
Courtney D Corley1, Diane J Cook, Armin R Mikler
1Pacific Northwest National Laboratory, 902 Battelle Blvd., Richland, WA 99352, USA. cook@eecs.wsu.edu
Abstract:
Text and structural data mining of web and social media (WSM) provides a novel disease surveillance resource and can identify online communities for targeted public health communications (PHC) to assure wide dissemination of pertinent information. WSM that mention influenza are harvested over a 24-week period, 5 October 2008 to 21 March 2009. Link analysis reveals communities for targeted PHC. Text mining is shown to identify trends in flu posts that correlate to real-world influenza-like illness patient report data. We also bring to bear a graph-based data mining technique to detect anomalies among flu blogs connected by publisher type, links, and user-tags.
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