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Online reports of foodborne illness capture foods implicated in official foodborne outbreak reports.
Nsoesie, Elaine O; Kluberg, Sheryl A; Brownstein, John S.
Afiliación
  • Nsoesie EO; 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.
  • Kluberg SA; Children's Hospital Informatics Program, Boston Children's Hospital, Boston, MA, 02215, USA.
  • Brownstein JS; 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.
Prev Med ; 67: 264-9, 2014 Oct.
Article en En | MEDLINE | ID: mdl-25124281
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.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Vigilancia de la Población / Medios de Comunicación Sociales / Alimentos / Enfermedades Transmitidas por los Alimentos Tipo de estudio: Screening_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Prev Med Año: 2014 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Vigilancia de la Población / Medios de Comunicación Sociales / Alimentos / Enfermedades Transmitidas por los Alimentos Tipo de estudio: Screening_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Prev Med Año: 2014 Tipo del documento: Article