1. Reactions to foodborne Escherichia coli outbreaks: A text-mining analysis of the public's response.
- Author
-
Glowacki EM, Glowacki JB, Chung AD, and Wilcox GB
- Subjects
- Data Mining methods, Disease Outbreaks, Humans, Population Surveillance, United States, Escherichia coli isolation & purification, Foodborne Diseases epidemiology, Foodborne Diseases prevention & control
- Abstract
Foodborne illnesses caused by bacteria are being reported at an increasing rate in the United States. We performed a text-mining analysis to look at nearly 13,000 tweets from two foodborne Escherichia coli outbreaks in 2018. Concerns from the public included staying informed about contaminated lettuce, recognizing signs of infection, and holding responsible farms accountable. At the end of the second outbreak, comments were focused on assessing symptoms, using the traceback process to locate outbreak sources, and calling for better food labeling practices., (Copyright © 2019 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.)
- Published
- 2019
- Full Text
- View/download PDF