Analytic Biosurveillance Methods for Resource-Limited Settings

Howard Burkom, Yevgeniy Elbert, Erhan Guven, Jacqueline Coberly

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.

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DOI: https://doi.org/10.5210/ojphi.v6i1.5037



Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org