並列タイトル等日本で発生する食中毒を検出するための警告システムの開発と応用
一般注記type:Thesis
Recent public health concerns regarding commercial food products have increased the need to develop an automated method to detect food product-related health events. We developed and verified a method for the early detection of potentially harmful events caused by commercial food products. We collected data from daily internet-based questionnaires examining the presence or absence of symptoms and information about food purchased by the respondents. Using these data, we developed a method to detect possible health concerns regarding commercialized food products. To achieve this, we combined the signal detection method used in the reporting system of adverse effects of pharmaceutical products and the Early Aberration Reporting System (EARS) used by the United States Centers for Disease Control. Whiteleg shrimp (Litopenaeus vannamei), which had odds ratio and Odds(−) of 8.99 and 4.13, respectively, was identified as a possible causative food product for diarrhea and vomiting. In conclusion, this study demonstrated that food distributors can implement post-marketing monitoring of the safety of food products purchased via the internet.
博士（医学）・甲第655号・平成28年9月28日
Copyright: © 2016 Maeyashiki et al. This is an open access article distributed under the terms of the Creative Commons Attribution License(http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
identifier:PloS one Vol.11 No.5 Article No.e0156395 (2016 May)
identifier:19326203
identifier:http://ginmu.naramed-u.ac.jp/dspace/handle/10564/3270
identifier:PloS one, 11(5): Article No.e0156395
DOIinfo:doi/10.1371/journal.pone.0156395
コレクション（個別）国立国会図書館デジタルコレクション > デジタル化資料 > 博士論文
受理日（W3CDTF）2016-12-01T22:39:34+09:00
連携機関・データベース国立国会図書館 : 国立国会図書館デジタルコレクション