Automated Surveillance of Outpatients with Pneumonia: A Performance Evaluation
PDF
HTML

How to Cite

Zheng, H., Siddiqui, T., & DeLisle, S. (2013). Automated Surveillance of Outpatients with Pneumonia: A Performance Evaluation. Online Journal of Public Health Informatics, 5(1). https://doi.org/10.5210/ojphi.v5i1.4536

Abstract

The most effective target for automated influenza surveillance systems is not known. In this work, we simulated a prospective surveillance system operating on authentic historical series of daily casecounts. We determined how long the system would take to detect an injected outbreak of synthetic cases. For influenza epidemics where >/= 5% of cases develop pneumonia, we found shorter outbreak detection delays when surveillance targeted only patients with pneumonia rather than all patients with acute respiratory infections.
https://doi.org/10.5210/ojphi.v5i1.4536
PDF
HTML
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.