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Accepted for/Published in: JMIR Public Health and Surveillance

Date Submitted: Jul 3, 2018
Open Peer Review Period: Jul 9, 2018 - Jul 23, 2018
Date Accepted: Jan 18, 2019
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Wet Markets and Food Safety: TripAdvisor for Improved Global Digital Surveillance

Kogan NE, Bolon I, Ray N, Alcoba G, Fernandez-Marquez JL, Müller MM, Mohanty SP, Ruiz de Castañeda R

Wet Markets and Food Safety: TripAdvisor for Improved Global Digital Surveillance

JMIR Public Health Surveill 2019;5(2):e11477

DOI: 10.2196/11477

PMID: 30932867

PMCID: 6462893

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Wet Markets and Food Safety: TripAdvisor for Improved Global Digital Surveillance

  • Nicole E Kogan; 
  • Isabelle Bolon; 
  • Nicolas Ray; 
  • Gabriel Alcoba; 
  • Jose L Fernandez-Marquez; 
  • Martin M Müller; 
  • Sharada P Mohanty; 
  • Rafael Ruiz de Castañeda

Background:

Wet markets are markets selling fresh meat and produce. Wet markets are critical for food security and sustainable development in their respective regions. Due to their cultural significance, they attract numerous visitors and consequently generate tourist-geared information on the Web (ie, on social networks such as TripAdvisor). These data can be used to create a novel, international wet market inventory to support epidemiological surveillance and control in such settings, which are often associated with negative health outcomes.

Objective:

Using social network data, we aimed to assess the level of wet markets’ touristic importance on the Web, produce the first distribution map of wet markets of touristic interest, and identify common diseases facing visitors in these settings.

Methods:

A Google search was performed on 31 food market–related keywords, with the first 150 results for each keyword evaluated based on their relevance to tourism. Of all these queries, wet market had the highest number of tourism-related Google Search results; among these, TripAdvisor was the most frequently-occurring travel information aggregator, prompting its selection as the data source for this study. A Web scraping tool (ParseHub) was used to extract wet market names, locations, and reviews from TripAdvisor. The latter were searched for disease-related content, which enabled assignment of GeoSentinel diagnosis codes to each. This syndromic categorization was overlaid onto a mapping of wet market locations. Regional prevalence of the most commonly occurring symptom group - food poisoning - was then determined (ie, by dividing the number of wet markets per continent with more than or equal to 1 review containing this syndrome by the total number of wet markets on that continent with syndromic information).

Results:

Of the 1090 hits on TripAdvisor for wet market, 36.06% (393/1090) conformed to the query’s definition; wet markets were heterogeneously distributed: Asia concentrated 62.6% (246/393) of them, Europe 19.3% (76/393), North America 7.9% (31/393), Oceania 5.1% (20/393), Africa 3.1% (12/393), and South America 2.0% (8/393). Syndromic information was available for 14.5% (57/393) of wet markets. The most frequently occurring syndrome among visitors to these wet markets was food poisoning, accounting for 54% (51/95) of diagnoses. Cases of this syndrome were identified in 56% (22/39) of wet markets with syndromic information in Asia, 71% (5/7) in Europe, and 71% (5/7) in North America. All wet markets in South America and Oceania reported food poisoning cases, but the number of reviews with syndromic information was very limited in these regions (n=2).

Conclusions:

The map produced illustrates the potential role of touristically relevant social network data to support global epidemiological surveillance. This includes the possibility to approximate the global distribution of wet markets and to identify diseases (ie, food poisoning) that are most prevalent in such settings.


 Citation

Please cite as:

Kogan NE, Bolon I, Ray N, Alcoba G, Fernandez-Marquez JL, Müller MM, Mohanty SP, Ruiz de Castañeda R

Wet Markets and Food Safety: TripAdvisor for Improved Global Digital Surveillance

JMIR Public Health Surveill 2019;5(2):e11477

DOI: 10.2196/11477

PMID: 30932867

PMCID: 6462893

Per the author's request the PDF is not available.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.