The aim of this research project, funded by the German Research Foundation (DFG), is to efficiently identify the source of large-scale outbreaks of foodborne disease while contamination-caused illnesses are still occurring, in order to resolve investigations earlier and avert potential illnesses. It proposes a holistic system for real-time source detection, which combines a dynamic commodity flow model with a spatio-temporal method for source localization on networks.
Modeling Food Supply Systems to Identify Outbreak Origins
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Prof. Dr. Hanno Friedrich (Kühne Logistics University - KLU),
Abigail Horn, Post-Doc (Massachusetts Institute of Technology (MIT))
Food Logistics, Sustainability, Transport Logistics