Case Study: Semantic Web Technology for Public Health Surveillance, University of Texas - 0 views
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Mark A.M. Kramer on 05 Oct 09"Public health surveillance is the ongoing collection and analysis of data to identify and respond to community health problems in a timely manner. Frequently, important public health information is distributed among many disparate databases, and includes far more than just clinical data. Infectious, gastrointestinal or respiratory illnesses may be detected by monitoring emergency room visits, water contaminations and air quality. Also, some helpful correlative data may exist online (e.g. pollens and allergens). As of now, meaningful integration of all these disparate data to inform public health practice has been the major barrier to their use in public health surveillance systems."