Utility of Potential Misdiagnoses in Predicting Foodborne Outbreaks
PDF

How to Cite

Lucia, L., Dubrawski, A., & Chen, L. (2014). Utility of Potential Misdiagnoses in Predicting Foodborne Outbreaks. Online Journal of Public Health Informatics, 6(1). https://doi.org/10.5210/ojphi.v6i1.5199

Abstract

Reliable detection and accurate scoping of outbreaks of foodborne illness are important to effective mitigation of their consequences. However, relatively small number of persons affected and underreporting, challenge the reliability of surveillance models. In this work, we investigate utility of using inpatient and emergency room diagnoses to detect outbreaks of Salmonellosis in humans, and quantify the impact of including potential misdiagnoses of Salmonellosis. We found that the data support and reliability of detection could be improved by including misdiagnoses of Salmonellosis, therefore tracking these diseases could support accuracy of foodborne illness surveillance.
https://doi.org/10.5210/ojphi.v6i1.5199
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.