A modeling framework to accelerate food-borne outbreak investigations
详细信息 查看全文
- 作者：Kun Hu ; khu@us.ibm.com" class="auth_mail" title="E-mail the corresponding author ; Sondra Renly ; Stefan Edlund ; Matthew Davis ; James Kaufman
- 关键词：Food safety ; Food-borne infections ; Geospatial data ; Geospatial modeling ; Likelihood-based method ; Epidemiology ; Outbreaks ; Public health informatics
- 刊名：Food Control
- 出版年：2016
- 出版时间：January 2016
- 年：2016
- 卷：59
- 期：Complete
- 页码：53-58
- 全文大小：741 K
文摘
- •
We propose a likelihood method to detect “guilty” product during an FDB outbreak.
- •
We performed our analysis on a real retail sales data from Germany.
- •
Our method can provide real-time food intelligence to accelerate FDB investigation.
- •
It is important to understand the dataset, model assumptions and modeling framework.