Using Emergency Department Data for Detection of a Synthetic Marijuana Outbreak
PDF

How to Cite

Yun, L. W., Beum, R., Askenazi, M., Chen, Y., McEwen, D., Maravi, M., & Davidson, A. (2015). Using Emergency Department Data for Detection of a Synthetic Marijuana Outbreak. Online Journal of Public Health Informatics, 7(1). https://doi.org/10.5210/ojphi.v7i1.5846

Abstract

Timely access to Emergency Department (ED) data is crucial for early detection of public health events. In August 2013, ED reported an increase in cases with excited delirium possibly related to synthetic marijuana (SM). We used this event to test BioSense 2.0 data to detect a novel public health event not categorized in the BioSense surveillance library. During the outbreak period (September 4-19, 2013), 21 cases of SM-related cases presented to Denver Health ED and 27 records were identified in the BioSense data. Using chief compliant and chart review as gold standard, this method was 99.6% specific and 44% sensitive.

https://doi.org/10.5210/ojphi.v7i1.5846
PDF
Authors own copyright of their articles appearing in the Online Journal of Public Health Informatics. Readers may copy articles without permission of the copyright owner(s), as long as the author and OJPHI are acknowledged in the copy and the copy is used for educational, not-for-profit purposes. Share-alike: when posting copies or adaptations of the work, release the work under the same license as the original. For any other use of articles, please contact the copyright owner. The journal/publisher is not responsible for subsequent uses of the work, including uses infringing the above license. It is the author's responsibility to bring an infringement action if so desired by the author.