메뉴 건너뛰기




Volumn , Issue 20, 2014, Pages 441-445

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

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;

EID: 84901248395     PISSN: 01492195     EISSN: 1545861X     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (79)

References (10)
  • 1
    • 78650979311 scopus 로고    scopus 로고
    • Foodborne illness acquired in the United States—major pathogens
    • Scallan E, Hoekstra RM, Angulo FJ, et al. Foodborne illness acquired in the United States—major pathogens. Emerg Infect Dis 2011;17:7-15.
    • (2011) Emerg Infect Dis , vol.17 , pp. 7-15
    • Scallan, E.1    Hoekstra, R.M.2    Angulo, F.J.3
  • 3
    • 84901258425 scopus 로고    scopus 로고
    • The City of New York. NYC 311. New York, NY: The City of New York
    • The City of New York. NYC 311. New York, NY: The City of New York; 2014. Available at http://www.nyc.gov/311.
    • (2014)
  • 4
    • 25444511363 scopus 로고    scopus 로고
    • Three years of emergency department gastrointestinal syndromic surveillance in NewYork City: What have we found?
    • In: Syndromic surveillance: reports from a national conference, 2004
    • 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.
    • (2005) MMWR , vol.54 , pp. 175-180
    • CDC1
  • 5
    • 72849140260 scopus 로고    scopus 로고
    • Google Trends: A web-based tool for real-time surveillance of disease outbreaks
    • Carneiro H, Mylonakis E. Google Trends: a web-based tool for real-time surveillance of disease outbreaks. Clin Infect Dis 2009;49:1557-64.
    • (2009) Clin Infect Dis , vol.49 , pp. 1557-1564
    • Carneiro, H.1    Mylonakis, E.2
  • 6
    • 79956040653 scopus 로고    scopus 로고
    • Towards detecting influenza epidemics by analyzing Twitter messages
    • In:, July 25, 2010, Washington, DC. NewYork, NY: Association for ComputingMachinery
    • 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.
    • (2010) Proceedings of the First Workshop on Social Media Analytics
    • Culotta, A.1
  • 7
    • 85085133306 scopus 로고    scopus 로고
    • You are what you tweet: Analyzing Twitter for public health
    • In:, July 17-21, 2011; Barcelona, Spain. Palo Alto, CA: AAAI Press
    • 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.
    • (2011) Proceedings of the Fifth International AAAI Conference Onweblogs and Social Media , pp. 265-272
    • Paul, M.1    Dredze, M.2
  • 10
    • 84901276991 scopus 로고    scopus 로고
    • Salt Lake City, UT: State of Utah, Utah Department of Health
    • 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.
    • (2012) Report a Foodborne Illness


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.