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식중독 사고 발생과 식품 안전 관련 검색어 빈도와의 상관성 분석 연구Correlation Analysis between Key Word Search Frequencies Related to Food Safety Issue and Foodborne Illness Outbreaks

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Correlation Analysis between Key Word Search Frequencies Related to Food Safety Issue and Foodborne Illness Outbreaks
Authors
이희영윤요한조희경김경미윤혜원
Issue Date
Apr-2017
Publisher
한국식품위생안전성학회
Keywords
Foodborne illness; Big data; Search frequency
Citation
한국식품위생안전성학회지, v.32, no.2, pp 96 - 100
Pages
5
Journal Title
한국식품위생안전성학회지
Volume
32
Number
2
Start Page
96
End Page
100
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/8566
DOI
10.13103/JFHS.2017.32.2.96
ISSN
1229-1153
2465-9223
Abstract
Through the increasing use of internet and smart device, consumers can search the information what they want to find. The information has been accumulated and become into a big data. Analyzing the big data regarding key words associated with foods and foodborne pathogens could be a method for predicting foodborne illness outbreaks, especially in school food services. Therefore, the objective of this study was to elucidate the correlations between key words associated with foods and food safety issues. Frequencies of the key words for foodborne pathogens and food safety issues were searched using an internet portal site from January 1, 2012 to December 31, 2014. In addition, foodborne outbreak data were collected from Ministry of Food and Drug Safety for the same period of time. There was correlation between the time having maximum key word frequencies of foods and foodborne pathogens, and the time for foodborne illness outbreak occurred. In addition, the search frequencies for foods and foodborne pathogens were generally increased right after foodborne outbreaks occurred. However, in some cases foodborne outbreaks occurred after the search frequencies for certain seasonal foods increased These results could be useful in food safety management for reducing foodborne illness and in food safety communication.
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생활과학대학 (식품영양학과)
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