Reactions to foodborne Escherichia coli outbreaks: A text-mining analysis of the public's response.
Autor: | Glowacki EM; Department of Communication Studies, College of Arts, Media, and Design, Northeastern University, Boston, MA. Electronic address: e.glowacki@northeastern.edu., Glowacki JB; Philadelphia College of Osteopathic Medicine, Philadelphia, PA., Chung AD; Stan Richards School of Advertising and Public Relations, Moody College of Communication, University of Texas at Austin, Austin, TX., Wilcox GB; Stan Richards School of Advertising and Public Relations, Moody College of Communication, University of Texas at Austin, Austin, TX. |
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Jazyk: | angličtina |
Zdroj: | American journal of infection control [Am J Infect Control] 2019 Oct; Vol. 47 (10), pp. 1280-1282. Date of Electronic Publication: 2019 May 16. |
DOI: | 10.1016/j.ajic.2019.04.004 |
Abstrakt: | 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.) |
Databáze: | MEDLINE |
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