National Center for Food Protection and Defense, University of Minnesota
Numerous economically motivated adulteration (EMA) incidents have resulted in public health consequences, including deaths. EMA incidents demonstrate a loss of control over the supply chains for food products. This hampers food safety efforts, and also demonstrates gaps that could be exploited for intentional harm. In order to reduce the potential for EMA, regulatory authorities and other stakeholders need tools to help them optimally allocate limited resources. This project proposed to continue the development of two database tools and the initiation of a proof-of-concept network model that together support the development of a capability to identify foods at elevated risk of EMA. Early EMA identification would enable the public and the private sector to move more toward prevention of EMA so that public health and economic consequences could be either averted or minimized.
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