Automated collection of pathogen-specific diagnostic data for real-time syndromic epidemiological studies

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

The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. . https://doi.org/10.1101/157156 doi: bioRxiv preprint S e n d i n g F i l m A r r a y d a t a d i r e c t l y t o t h e c l o u d The FilmArray Trend public website is an outgrowth of the Trend clinical website, which was developed to provide clinical laboratories using the FilmArray System with up-to-date 135 information on the respiratory, gastrointestinal and meningitis/encephalitis pathogens circulating at their institutions. The most general and efficient way to export both the clinical and public