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 warehousing and transfer, descriptive statistics, geographic analysis, and data mining and querying. We observe that while there is significant variety among surveillance systems, many may still report duplicative data sources, use basic forms of analysis, and provide rudimentary functionality.
Objective
To identify analytic gaps and duplication across U.S. government, international agencies, non-profit and academic health surveillance systems, programs, and initiatives in four areas: Analytics, Data Sources, Statistics, and System Requirements.