Reactions to foodborne Escherichia coli outbreaks: A text-mining analysis of the public's response
•Public health officials can share information about foodborne illness on Twitter.•The public is concerned about foodborne Escherichia coli outbreaks.•The public has questions about sources and symptoms of E coli infections.•Twitter can be used to share information about food recalls and labeling. F...
Gespeichert in:
Veröffentlicht in: | American journal of infection control 2019-10, Vol.47 (10), p.1280-1282 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | •Public health officials can share information about foodborne illness on Twitter.•The public is concerned about foodborne Escherichia coli outbreaks.•The public has questions about sources and symptoms of E coli infections.•Twitter can be used to share information about food recalls and labeling.
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. |
---|---|
ISSN: | 0196-6553 1527-3296 |
DOI: | 10.1016/j.ajic.2019.04.004 |