Developing a Social Media System for Biosurveillance
Author(s) -
Julie Waters,
Kristina E. Howard,
Heather Baker,
Caroline Brown
Publication year - 2014
Publication title -
online journal of public health informatics
Language(s) - English
Resource type - Journals
ISSN - 1947-2579
DOI - 10.5210/ojphi.v6i1.5072
Subject(s) - social media , data science , computer science , event (particle physics) , world wide web , quantum mechanics , physics
The National Biosurveillance Integration Center's (NBIC) innovation project on Social Media Analysis seeks to demonstrate the viability of extracting relevant, health information from social media data, with the ultimate goal to establish an operational social media system for biological event surveillance. Application of this data to the biosurveillance problem is yet largely unexplored. Initial analysis shows promising capacity for health information within social media. Significant investment and future effort is required in the areas of algorithm, system architecture, and CONOPS development to enact an operational social media system for biosurveillance.
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