FoodChain-Lab: A Trace-Back and Trace-Forward Tool Developed and Applied during Food-Borne Disease Outbreak Investigations in Germany and Europe

FoodChain-Lab is modular open-source software for trace-back and trace-forward analysis in food-borne disease outbreak investigations. Development of FoodChain-Lab has been driven by a need for appropriate software in several food-related outbreaks in Germany since 2011. The software allows integrated data management, data linkage, enrichment and visualization as well as interactive supply chain analyses. Identification of possible outbreak sources or vehicles is facilitated by calculation of tracing scores for food-handling stations (companies or persons) and food products under investigation. The software also supports consideration of station-specific cross-contamination, analysis of geographical relationships, and topological clustering of the tracing network structure. FoodChain-Lab has been applied successfully in previous outbreak investigations, for example during the 2011 EHEC outbreak and the 2013/14 European hepatitis A outbreak. The software is most useful in complex, multi-area outbreak investigations where epidemiological evidence may be insufficient to discriminate between multiple implicated food products. The automated analysis and visualization components would be of greater value if trading information on food ingredients and compound products was more easily available.

[1]  Kathryn Anne-Marie Donnelly,et al.  Creating standardised data lists for traceability: a study of honey processing , 2008, Int. J. Metadata Semant. Ontologies.

[2]  Hans-Peter Kriegel,et al.  A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise , 1996, KDD.

[3]  A. Guinet,et al.  Traceability analysis and optimization method in food industry , 2002, IEEE International Conference on Systems, Man and Cybernetics.

[4]  Matthias Greiner,et al.  Trace-back and trace-forward tools developed ad hoc and used during the STEC O104:H4 outbreak 2011 in Germany and generic concepts for future outbreak situations. , 2013, Foodborne pathogens and disease.

[5]  R. Evans.  European Centre for Disease Prevention and Control. , 2014, Nursing standard (Royal College of Nursing (Great Britain) : 1987).

[6]  Thorsten Meinl,et al.  KNIME - the Konstanz information miner: version 2.0 and beyond , 2009, SKDD.

[7]  Kun Hu,et al.  A Likelihood-Based Approach to Identifying Contaminated Food Products Using Sales Data: Performance and Challenges , 2014, PLoS Comput. Biol..

[8]  Kunihiro Shinagawa,et al.  Economic impact of an Escherichia coli O157:H7 outbreak in Japan. , 2002, Journal of food protection.

[9]  J. MacQueen.  Some methods for classification and analysis of multivariate observations , 1967 .

[10]  A. F. Bollen,et al.  Agricultural supply system traceability, Part II: Implications of packhouse processing transformations , 2007 .

[11]  R. Goodman,et al.  Use of case-control studies in outbreak investigations. , 1994, Epidemiologic reviews.

[12]  Leila Hashemi Beni,et al.  A national produce supply chain database for food safety risk analysis , 2015 .

[13]  Stefan Edlund,et al.  The spatiotemporal epidemiological modeler , 2010, IHI.

[14]  C. Atchison,et al.  Investigating an outbreak of Clostridium perfringens gastroenteritis in a school using smartphone technology, London, March 2013. , 2014, Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin.

[15]  Edward M. Reingold,et al.  Graph drawing by force‐directed placement , 1991, Softw. Pract. Exp..

[16]  Saskia Dombrowski.  Berichte zur Lebensmittelsicherheit 2012 , 2013 .

[17]  A. Falenski,et al.  A community resource for integrated predictive microbial modelling (PMM-Lab) , 2013 .

[18]  Thorsten Meinl,et al.  KNIME: The Konstanz Information Miner , 2007, GfKl.

[19]  Vladimir I. Levenshtein,et al.  Binary codes capable of correcting deletions, insertions, and reversals , 1965 .

[20]  Padhraic Smyth,et al.  Analysis and Visualization of Network Data using JUNG , 2005 .

[21]  J. Garrett Morris,et al.  Annual cost of illness and quality-adjusted life year losses in the United States due to 14 foodborne pathogens. , 2012, Journal of food protection.

[22]  Mauro Gamberi,et al.  Traceability of food products: General framework and experimental evidence , 2007 .

[23]  P. Abelson.  The economic cost of foodborne disease in New Zealand Prepared for : NEW ZEALAND FOOD SAFETY AUTHORITY November 2010 , 2010 .