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

Authors

  • Catherine Ordun Booz Allen Hamilton, McLean, VA
  • Jane W. Blake Booz Allen Hamilton, McLean, VA
  • Nathanael Rosidi Booz Allen Hamilton, McLean, VA
  • Vahan Grigoryan Booz Allen Hamilton, McLean, VA
  • Christopher Reffett Booz Allen Hamilton, McLean, VA
  • Sadia Aslam Booz Allen Hamilton, McLean, VA
  • Anastasia Gentilcore Booz Allen Hamilton, McLean, VA
  • Marek Cyran Booz Allen Hamilton, McLean, VA
  • Matthew Shelton Booz Allen Hamilton, McLean, VA
  • Juergen Klenk Booz Allen Hamilton, McLean, VA

DOI:

https://doi.org/10.5210/ojphi.v5i1.4442

Abstract

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.

Author Biography

Catherine Ordun, Booz Allen Hamilton, McLean, VA

Catherine Ordun joined Booz Allen in 2011 and is one of the chief architects of the Open Source Health Intelligence (OSHINT) project. Catherine has ten years of experience conducting research, creating risk analysis tools, and providing analytical support for federal clients ranging from public health preparedness to the Intelligence Community. Catherine holds a BS in Applied Biology from Georgia Tech, a MPH from Emory University, and a MBA from George Washington University. Jane Blake joined Booz Allen in 2011 has over ten years of experience conducting research, developing methodologies and identifying solutions for biosurveillance challenges. She is currently engaged in Booz Allen?Ä??õ¬?s biosurveillance efforts and is one of the chief architects of OSHINT. Jane holds a BS in Foreign Service and a MS in Microbiology and Immunology with a concentration in Biohazardous Threat Agents and Emerging Infectious Disease from Georgetown University. Nathanael Rosidi joined Booz Allen in 2011 and has over eight years of experience using computational modeling and data analytics to architect solutions in the health and life science space. Nathanael is currently engaged in efforts to develop statistical and predictive models to investigate complex issues, using a variety of cloud-based and business intelligence platforms, throughout the commercial and federal market. He holds a Ph.D. in Biomedical Engineering with concentrations in Applied Physics and Neurobiology from Cornell University.

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Published

2013-03-23

How to Cite

Ordun, C., Blake, J. W., Rosidi, N., Grigoryan, V., Reffett, C., Aslam, S., … Klenk, J. (2013). Open Source Health Intelligence (OSHINT) for Foodborne Illness Event Characterization. Online Journal of Public Health Informatics, 5(1). https://doi.org/10.5210/ojphi.v5i1.4442

Issue

Section

Poster Presentations