Analytic Biosurveillance Methods for Resource-Limited Settings
PDF

How to Cite

Burkom, H., Elbert, Y., Guven, E., & Coberly, J. (2014). Analytic Biosurveillance Methods for Resource-Limited Settings. Online Journal of Public Health Informatics, 6(1). https://doi.org/10.5210/ojphi.v6i1.5037

Abstract

The authors describe the challenges of disease surveillance in settings lacking infrastructure and access to medical care. They address the role of analytic methods and evaluate open-source temporal alerting algorithms chosen for the Suite for Automated Global Electronic bioSurveillance (SAGES), collection of modular, freely-available software tools to enable electronic surveillance in these settings. An algorithm test-bed is described and used to compare algorithm alerting performance for both daily and weekly data streams. Multiple detection performance measures are defined, and a practical means of combining them is applied to recommend preferred alerting methods for common scenarios.
https://doi.org/10.5210/ojphi.v6i1.5037
PDF
Authors own copyright of their articles appearing in the Online Journal of Public Health Informatics. Readers may copy articles without permission of the copyright owner(s), as long as the author and OJPHI are acknowledged in the copy and the copy is used for educational, not-for-profit purposes. Share-alike: when posting copies or adaptations of the work, release the work under the same license as the original. For any other use of articles, please contact the copyright owner. The journal/publisher is not responsible for subsequent uses of the work, including uses infringing the above license. It is the author's responsibility to bring an infringement action if so desired by the author.