TY - JOUR T1 - Automated collection of pathogen-specific diagnostic data for real-time syndromic epidemiological studies JF - bioRxiv DO - 10.1101/157156 SP - 157156 AU - Lindsay Meyers AU - Christine C. Ginocchio AU - Aimie N. Faucett AU - Frederick S. Nolte AU - Per H. Gesteland AU - Amy Leber AU - Diane Janowiak AU - Virginia Donovan AU - Jennifer Dien Bard AU - Silvia Spitzer AU - Kathleen A. Stellrecht AU - Hossein Salimnia AU - Rangaraj Selvarangan AU - Stefan Juretschko AU - Judy A. Daly AU - Jeremy C. Wallentine AU - Kristy Lindsey AU - Franklin Moore AU - Sharon L. Reed AU - Maria Aguero-Rosenfeld AU - Paul D. Fey AU - Gregory A. Storch AU - Steve J. Melnick AU - Christine C. Robinson AU - Jennifer F. Meredith AU - Camille V. Cook AU - Robert K. Nelson AU - Jay D. Jones AU - Samuel V. Scarpino AU - Benjamin M. Althouse AU - Kirk M. Ririe AU - Bradley A. Malin AU - Mark A. Poritz Y1 - 2017/01/01 UR - http://biorxiv.org/content/early/2017/09/22/157156.abstract N2 - Health-care and public health professionals rely on accurate, real-time monitoring of infectious diseases for outbreak preparedness and response. Early detection of outbreaks is improved by systems that are pathogen-specific. We describe a system, FilmArray® Trend, for rapid disease reporting that is syndrome-based but pathogen-specific. Results from a multiplex molecular diagnostic test are sent directly to a cloud database. www.syndromictrends.com presents these data in near real-time. Trend preserves patient privacy by removing or obfuscating patient identifiers. We summarize the respiratory pathogen results, for 20 organisms from 344,000 patient samples acquired as standard of care testing over the last four years from 20 clinical laboratories in the United States. The majority of pathogens show influenza-like seasonality, rhinovirus has fall and spring peaks and adenovirus and bacterial pathogens show constant detection over the year. Interestingly, the rate of pathogen co-detections, on average 7.7%, matches predictions based on the relative abundance of organisms present. ER -