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Prev Med. 2014 Oct;67:264-9. doi: 10.1016/j.ypmed.2014.08.003. Epub 2014 Aug 11.

Online reports of foodborne illness capture foods implicated in official foodborne outbreak reports.

Author information

1
Children's Hospital Informatics Program, Boston Children's Hospital, Boston, MA, 02215, USA; Department of Pediatrics, Harvard Medical School, Boston, MA 02215, USA. Electronic address: onelaine@vt.edu.
2
Children's Hospital Informatics Program, Boston Children's Hospital, Boston, MA, 02215, USA.
3
Children's Hospital Informatics Program, Boston Children's Hospital, Boston, MA, 02215, USA; Department of Pediatrics, Harvard Medical School, Boston, MA 02215, USA; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec H3A 1A2, Canada.

Abstract

OBJECTIVE:

Traditional surveillance systems capture only a fraction of the estimated 48 million yearly cases of foodborne illness in the United States. We assessed whether foodservice reviews on Yelp.com (a business review site) can be used to support foodborne illness surveillance efforts.

METHODS:

We obtained reviews from 2005 to 2012 of 5824 foodservice businesses closest to 29 colleges. After extracting recent reviews describing episodes of foodborne illness, we compared implicated foods to foods in outbreak reports from the U.S. Centers for Disease Control and Prevention (CDC).

RESULTS:

Broadly, the distribution of implicated foods across five categories was as follows: aquatic (16% Yelp, 12% CDC), dairy-eggs (23% Yelp, 23% CDC), fruits-nuts (7% Yelp, 7% CDC), meat-poultry (32% Yelp, 33% CDC), and vegetables (22% Yelp, 25% CDC). The distribution of foods across 19 more specific food categories was also similar, with Spearman correlations ranging from 0.60 to 0.85 for 2006-2011. The most implicated food categories in both Yelp and CDC were beef, dairy, grains-beans, poultry and vine-stalk.

CONCLUSIONS:

Based on observations in this study and the increased usage of social media, we posit that online illness reports could complement traditional surveillance systems by providing near real-time information on foodborne illnesses, implicated foods and locations.

KEYWORDS:

Disease surveillance; Foodborne diseases; Foodborne illness; Gastroenteritis; Population surveillance; Social media

PMID:
25124281
PMCID:
PMC4167574
DOI:
10.1016/j.ypmed.2014.08.003
[Indexed for MEDLINE]
Free PMC Article

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