Detecting and monitoring foodborne illness outbreaks: Twitter communications and the 2015 U.S. Salmonella outbreak linked to imported cucumbers
Not on the map. Why?
Abstract (arXiv)
This research uses Twitter, as a social media device, to track communications related to the 2015 U.S. foodborne illness outbreak linked to Salmonella in imported cucumbers from Mexico. The relevant Twitter data are analyzed in light of the timeline of the official announcements made by the Centers for Disease Control and Prevention (CDC). The largest number of registered tweets is associated with the period immediately following the CDC initial announcement and the official release of the first recall of cucumbers.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 24 Aug 2017.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2022: 1; 2023: 1.
2 papers.
- 2023Sentiment Analysis and Text Analysis of the Public Discourse on Twitter about COVID-19 and MPoxcited by 8
- 2022An Exploratory Study of Tweets about the SARS-CoV-2 Omicron Variant: Insights from Sentiment Analysis, Language Interpretation, Source Tracking, Type Classification, and Embedded URL Detectioncited by 7
- 2023Sentiment Analysis and Text Analysis of the Public Discourse on Twitter about COVID-19 and MPox17 Dec 2023
- 2022An Exploratory Study of Tweets about the SARS-CoV-2 Omicron Variant: Insights from Sentiment Analysis, Language Interpretation, Source Tracking, Type Classification, and Embedded URL Detection20 Jul 2022