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      Introducing the Rapid Alert Supply Network Extractor (RASNEX) tool to mine supply chain information from food and feed contamination notifications in Europe

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          Abstract

          Background

          During food or feed contamination events, it is of utmost importance to ensure their rapid resolution to minimize impact on human health, animal health and finances. The existing Rapid Alert System for Food and Feed (RASFF) is used by the European Commission, national competent authorities of member countries and the European Food Safety Authority to report information on any direct or indirect human health risk arising from food or feed, or serious risks to animal health or the environment in relation to feed. Nevertheless, no methods exist to to collectively evaluate this vast source of supply chain information.

          Methods

          To aid in the extraction, evaluation and visualization of the data in RASFF notifications, we present the Rapid Alert Supply Network Extractor (RASNEX) open-source tool available from https://doi.org/10.5281/zenodo.4322555 freely. Among RASNEX’s functions is the graphical mapping of food and feed supply chain operators implicated in contamination events. RASNEX can be used during ongoing events as a support tool for risk analysis using RASFF notifications as input.

          Results

          In a first use case, we showcase the functionality of RASNEX with the RASFF notification on a 2017/2018 contamination event in eggs caused by the illegal use of fipronil. The information in this RASFF notification is used to visualize nine different flows of main and related food products. In a second use case, we combine RASFF notifications from different types of food safety hazards ( Salmonella spp., fipronil and others) to obtain wider coverage of the visualized egg supply network compared to the first use case. Actors in the egg supply chain were identified mainly for Italy, Poland and Benelux. Other countries (although involved in the egg supply chain) were underrepresented.

          Conclusions

          We hypothesize that biases may be caused by inconsistent RASFF reporting behaviors by its members. These inconsistencies may be counteracted by implementing standardized decision-making tools to harmonize decisions whether to launch a RASFF notification, in turn resulting in a more uniform future coverage across European food and feed supply chains with RASNEX.

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          Most cited references18

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          KNIME - the Konstanz information miner

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            Regulation (EC) No 178/2002 of the European parliament and of the council of 28 january 2002 laying down the general principles and requirements of food law, establishing the european food safety authority and laying down procedures in matters of food saf.

            Eu (2002)
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              Is Open Access

              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.

                Author and article information

                Contributors
                Role: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: SoftwareRole: SupervisionRole: Validation
                Role: ConceptualizationRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: Funding acquisitionRole: Project administrationRole: Supervision
                Role: ConceptualizationRole: MethodologyRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                27 July 2021
                2021
                : 16
                : 7
                : e0254301
                Affiliations
                [001]German Federal Institute for Risk Assessment, Berlin, Germany
                University of New South Wales (UNSW Sydney), AUSTRALIA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0003-2151-5938
                Article
                PONE-D-20-39677
                10.1371/journal.pone.0254301
                8315510
                34314433
                f2379eca-c493-4686-b604-d7452a07de61
                © 2021 Lorenzen et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 17 December 2020
                : 24 June 2021
                Page count
                Figures: 4, Tables: 1, Pages: 17
                Funding
                The authors received no specific funding for this work, since it is part of the in-house research and doctoral programme.
                Categories
                Research Article
                Biology and Life Sciences
                Physiology
                Reproductive Physiology
                Eggs
                Bird Eggs
                Chicken Eggs
                Biology and Life Sciences
                Nutrition
                Diet
                Food
                Medicine and Health Sciences
                Nutrition
                Diet
                Food
                Medicine and Health Sciences
                Epidemiology
                Medical Risk Factors
                Medicine and Health Sciences
                Medical Conditions
                Infectious Diseases
                Bacterial Diseases
                Salmonella
                Biology and Life Sciences
                Microbiology
                Medical Microbiology
                Microbial Pathogens
                Bacterial Pathogens
                Salmonella
                Medicine and Health Sciences
                Pathology and Laboratory Medicine
                Pathogens
                Microbial Pathogens
                Bacterial Pathogens
                Salmonella
                Biology and Life Sciences
                Organisms
                Bacteria
                Enterobacteriaceae
                Salmonella
                Earth Sciences
                Geography
                Cartography
                People and places
                Geographical locations
                Europe
                European Union
                Italy
                People and Places
                Geographical Locations
                Europe
                Biology and Life Sciences
                Physiology
                Reproductive Physiology
                Eggs
                Custom metadata
                In order to ensure that any reader is able to test our program RASNEX, we have included a dummy RASFF dataset as part of the publicly and freely available code linked in the manuscript ( https://doi.org/10.5281/zenodo.4322555). As requested by the editor, we would like to address the legal restrictions on sharing real data, even de-identified real data, from the Rapid Alert System for Food and Feed (RASFF). Actual RASFF notifications can be accessed only by competent authorities in the member states. Consequently the information transmitted in them is strictly confidential and shall not be given to third parties. RASFF is under the control of the European Commission and nationally in Germany under the following institutional contact: National RASFF- und AAC-Kontaktstelle Referat 121 - Warn- und Informationssysteme Bundesamt für Verbraucherschutz und Lebensmittelsicherheit (BVL) Mauerstraße 39-42, 10117 Berlin, Germany Phone: +49-30-18444-10443 E-Mail: schnellwarnsystem@ 123456bvl.bund.de

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