This paper is in the following e-collection/theme issue:

Presentations, Abstracts, or Demonstrations (740) Shared Electronic Health Records and Health Information Systems (72)

Published on in Vol 5, No 1 (2013):

Open Source Health Intelligence (OSHINT) for Foodborne Illness Event Characterization

Open Source Health Intelligence (OSHINT) for Foodborne Illness Event Characterization

Open Source Health Intelligence (OSHINT) for Foodborne Illness Event Characterization

Authors of this article:

Catherine Ordun1 ;   Jane W. Blake1 ;   Nathanael Rosidi1 ;   Vahan Grigoryan1 ;   Christopher Reffett1 ;   Sadia Aslam1 ;   Anastasia Gentilcore1 ;   Marek Cyran1 ;   Matthew Shelton1 ;   Juergen Klenk1
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    Social media presents publicly available and accessible information about individual, real-time activity that can be leveraged to detect, monitor, and respond to events. We are developing a cloud-based Open Source Health Intelligence (OSHINT) system that uses open source media outlets to characterize foodborne illness events in real-time. OSHINT forecasts response requirements for efficient use of resources. OSHINT currently characterizes number of victims ill, hospitalized, and dead due to foodborne illness events and was used to characterize the national 2012 Salmonella event related to cantaloupes. The OSHINT team is continually developing and refining characterization and forecasting algorithms.