Displaying results 1 - 5 of 5
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Open Source Health Intelligence (OSHINT) for Foodborne Illness Event Characterization
Content Type: Abstract
An increasing amount of global discourse reporting has migrated to the online space, in the form of publicly accessible social media outlets, blogs, wikis, and news feeds. Social media also presents pub- licly available and highly accessible… read more -
Developing a Prototype Opioid Surveillance System at a 2-Day Virginia Hackathon
Content Type: Abstract
At the Governorâs Opioid Addiction Crisis Datathon in September 2017, a team of Booz Allen data scientists participated in a two-day hackathon to develop a prototype surveillance system for business users to locate areas of high risk across… read more -
Digital Disease Detection Dashboard: Rapid Detection & Outbreak Management Tool
Content Type: Abstract
Booz Allen Hamilton is developing a novel bio-surveillance prototype tool, the Digital Disease Detection Dashboard (D4) to address the questions fundamental to daily biosurveillance analysis and decision making: is something unusual happening (e.g… read more -
Big Data Analytics for Mass Casualty Incident (MCI) Situational Awareness
Content Type: Abstract
A variety of big data analytics, techniques and tools including social media analytics, open source visualizations, statistical anomaly detection, use of Application Programming Interfaces (APIs), and geospatial mapping, are used for infectious… read more -
Surveillance of Surveillance: Inventorying Gaps and Commonalities Across the Universe of Surveillance Systems
Content Type: Abstract
Health surveillance systems provide important functionalities to detect, monitor, respond, prevent, and report on a variety of conditions across multiple owners. They offer important capabilities, with some of the most fundamental including data… read more