Using online reviews by restaurant patrons to identify unreported cases of foodborne Illness — New York City, 2012-2013

Morbidity and Mortality Weekly Report

Volumn , Issue 20, 2014, Pages 441-445

  Harrison, Cassandra ^a,b   Jorder, Mohip ^c   Stern, Henri ^c   Stavinsky, Faina ^a   Reddy, Vasudha ^a   Hanson, Heather ^a   Waechter, HaeNa ^a   Lowe, Luther ^d   Gravano, Luis ^c   Balter, Sharon ^a  

^a NEW YORK CITY DEPARTMENT OF HEALTH AND MENTAL HYGIENE   (United States)

^b CDC/CSTE Applied Epidemiology Fellow   (United States)

^c Howard Hughes Medical Institute   (United States)

^d YELP INC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CATERING SERVICE; EPIDEMIC; FOOD HANDLING; FOOD POISONING; HEALTH SURVEY; HUMAN; INTERNET; METHODOLOGY; PILOT STUDY; STANDARD; STATISTICS; UNITED STATES;

DISEASE OUTBREAKS; FOOD HANDLING; FOODBORNE DISEASES; HUMANS; INTERNET; NEW YORK CITY; PILOT PROJECTS; POPULATION SURVEILLANCE; RESTAURANTS;

EID: 84901248395     PISSN: 01492195     EISSN: 1545861X     Source Type: Journal    
DOI: None     Document Type: Article

References (10)

1. Scallan E, Hoekstra RM, Angulo FJ, et al. Foodborne illness acquired in the United States—major pathogens. Emerg Infect Dis 2011;17:7-15.
2. Hall M, Frank E, Holmes G, Pfahringer B, Reutemann P, Witten IH. The WEKA data mining software: an update. ACM SIGKDD Explorations 2009;11:10-8.
3. The City of New York. NYC 311. New York, NY: The City of New York; 2014. Available at http://www.nyc.gov/311.
4. CDC. Three years of emergency department gastrointestinal syndromic surveillance in NewYork City: what have we found? In: Syndromic surveillance: reports from a national conference, 2004. MMWR 2005;54(Suppl):175-80.
5. Carneiro H, Mylonakis E. Google Trends: a web-based tool for real-time surveillance of disease outbreaks. Clin Infect Dis 2009;49:1557-64.
6. Culotta A.Towards detecting influenza epidemics by analyzing Twitter messages. In: Proceedings of the First Workshop on Social Media Analytics, July 25, 2010; Washington, DC. NewYork, NY: Association for ComputingMachinery; 2010. Available at http://snap.stanford.edu/soma2010/papers/soma2010_16.pdf.
7. Paul M, Dredze M. You are what you tweet: analyzing Twitter for public health. In: Proceedings of the Fifth International AAAI Conference onWeblogs and Social Media, July 17-21, 2011; Barcelona, Spain. Palo Alto, CA: AAAI Press; 2011:265-72.
8. Sadilek A, Brennan S, Kautz H, Silenzio V. nEmesis: which restaurants should you avoid today? In: Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing, November 6-9, 2013; Palm Springs, California. Available at http://www.aaai.org/ocs/index.php/HCOMP/HCOMP13/paper/viewFile/7475/7413.
9. Fox S, Rainie L, Pew Research Center. Pew Internet research project: the Web at 25 in the U.S.; 2014. Available at http://www.pewinternet.org/2014/02/27/the-web-at-25-in-the-u-s.
10. Utah Department of Health. Report a foodborne illness. Salt Lake City, UT: State of Utah, Utah Department of Health; 2012.Available athttp://igotsick.health.utah.gov.