Contextualizing Data Streams for Infectious Disease Surveillance
DOI:
https://doi.org/10.5210/ojphi.v6i1.5064Abstract
To aid in developing a global biosurveillance program, it is critical to develop a framework to capture and understand the myriad of data streams and evaluate them in context of surveillance goals. Toward this goal, Los Alamos National Laboratory has developed a new method of evaluating the effectiveness of data stream types through the use of a novel concept called the surveillance window, a technique that integrates operational systems analysis, surveillance system analysis and epidemiological analysis. This study provides a simple, yet elegant methodology for which to ground truth known and emerging data streams for utility in integrated biosurveillance efforts.Downloads
Published
2014-03-09
How to Cite
Taylor-McCabe, K., Castro, L., Generous, N., Margevicius, K., Brown, M., & Deshpande, A. (2014). Contextualizing Data Streams for Infectious Disease Surveillance. Online Journal of Public Health Informatics, 6(1). https://doi.org/10.5210/ojphi.v6i1.5064
Issue
Section
Oral Presentations