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Confronted with this challenge, public health surveillance societies in the USA, UK, and elsewhere have developed web-based services that facilitate data sharing, centralization of data, and dissemination of results. These approaches are not new; however, they have been implemented in an inefficient and uncoordinated manner. This lack of coordination and integration of the surveillance systems, however, hinders the ability of the surveillance community to keep pace with the rapid pace of scientific advancements and changing health care guidelines.
In this special issue, we introduce a new method and paradigm for improved public health surveillance systems. Utilizing a public health surveillance information and workflow management (SWIFT) framework to capture and organize data over multiple surveillance systems that have a shared data model, data-driven recommendations for public health actions, and documentation of