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Scholar-Practitioner Project: Traditional and Syndromic Surveillance”While traditional disease surveillance often relies on time-consuming laboratory diagnosis and the reporting of notifiable diseases is often slow and incomplete, a new breed of public health surveillance systems has the potential to significantly speed up detection of disease outbreaks. These new, computer-based surveillance systems offer valuable and timely information to hospitals as well as to state, local, and federal health officials. These systems are capable of real-time or near real-time detection of serious illnesses and potential bioterrorism agent exposures, allowing for a rapid public health response. This public health surveillance approach is generally called syndromic surveillance, which is defined as an ongoing, systematic collection, analysis, and interpretation of ‘syndrome’-specific data for early detection of public health aberrations.”—Yan, Chen, and Zeng (2008)Information drives a public health official’s ability to predict disease outbreaks and trends. Increasingly, emerging natural and man-made threats are making the need for timely, accurate, and reliable information more urgent. As discussed previously, valuable information comes from a variety of data sources. A critical task for public health professionals is determining what might be considered “actionable intelligence”—how to gather it, how to validate it, and how to make sense of it.To complete this portion of your Scholar-Practitioner Project, write a 2-page paper analyzing the practical ramifications of identifying, collecting, validating, and analyzing data for syndromic surveillance. Compare your analysis to traditional disease surveillance.Your written assignments must follow APA guidelines. Be sure to support your work with specific citations from this week’s Learning Resources and additional scholarly sources as appropriate. Refer to the Publication Manual of the American Psychological Association to ensure your in-text citations and reference list are correct.
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