Author: Lindsay Meyers; Christine C. Ginocchio; Aimie N. Faucett; Frederick S. Nolte; Per H. Gesteland; Amy Leber; Diane Janowiak; Virginia Donovan; Jennifer Dien Bard; Silvia Spitzer; Kathleen A. Stellrecht; Hossein Salimnia; Rangaraj Selvarangan; Stefan Juretschko; Judy A. Daly; Jeremy C. Wallentine; Kristy Lindsey; Franklin Moore; Sharon L. Reed; Maria Aguero-Rosenfeld; Paul D. Fey; Gregory A. Storch; Steve J. Melnick; Christine C. Robinson; Jennifer F. Meredith; Camille V. Cook; Robert K. Nelson; Jay D. Jones; Samuel V. Scarpino; Benjamin M. Althouse; Kirk M. Ririe; Bradley A. Malin; Mark A. Poritz
Title: Automated collection of pathogen-specific diagnostic data for real-time syndromic epidemiological studies Document date: 2017_7_31
ID: iisqysqm_38
Snippet: This work might best be accomplished by a third party that is viewed as independent and impartial. For example, in the case of data originating in the US, a federal institution or a private underappreciated pathogens, and clarify true disease epidemiology. Finally, systems like Trend will be essential for the rapid identification of disease anomalies indicating potential emergent outbreaks, thereby providing an independent tool for public health .....
Document: This work might best be accomplished by a third party that is viewed as independent and impartial. For example, in the case of data originating in the US, a federal institution or a private underappreciated pathogens, and clarify true disease epidemiology. Finally, systems like Trend will be essential for the rapid identification of disease anomalies indicating potential emergent outbreaks, thereby providing an independent tool for public health surveillance.
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