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A Gravity-Based Approach to Connect Food Retailers with Consumers for Traceback Models of Food-Borne Diseases

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Complex Networks and Their Applications VIII (COMPLEX NETWORKS 2019)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 882))

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Abstract

Computational traceback models are important tools for investigations of widespread food-borne disease outbreaks as they help to determine the causative outbreak location and food item. In an attempt to understand the entire food supply chain from farm to fork, however, these models have paid little attention to consumer behavior and mobility, instead making the simplifying assumption that consumers shop in their home location. This paper aims to fill this gap by modelling food-flows from supermarkets to consumers in a large-scale gravity model for Hesse, Germany. Modelling results show that on average, groceries are sourced from two to four postal zones with half of all goods originating from non-home postal zones. The results contribute to a better understanding of the last link in the food supply chain. In practice, this allows investigators to relate reported outbreak cases with sourcing zones and respective food-retailers. The inclusion of this information into existing models is expected to improve their performance.

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Acknowledgement

The project this report is based on was supported with funds from the German Federal Ministry for Education and Research (BMBF) in the context of the call “Civil Security - Critical structures and processes in production and logistics” under project number 13N15072.

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Authors and Affiliations

  1. Kuehne Logistics University, 20457, Hamburg, Germany

    Tim Schlaich & Hanno Friedrich

  2. Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA

    Abigail Horn

Authors
  1. Tim Schlaich
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  2. Hanno Friedrich
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  3. Abigail Horn
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Corresponding author

Correspondence to Tim Schlaich .

Editor information

Editors and Affiliations

  1. University of Burgundy, Dijon Cedex, France

    Hocine Cherifi

  2. Università degli Studi di Milano, Milan, Italy

    Sabrina Gaito

  3. University of Aveiro, Aveiro, Portugal

    José Fernendo Mendes

  4. Universidad Carlos III de Madrid, Leganés, Madrid, Spain

    Esteban Moro

  5. Indiana University, Bloomington, IN, USA

    Luis Mateus Rocha

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Schlaich, T., Friedrich, H., Horn, A. (2020). A Gravity-Based Approach to Connect Food Retailers with Consumers for Traceback Models of Food-Borne Diseases. In: Cherifi, H., Gaito, S., Mendes, J., Moro, E., Rocha, L. (eds) Complex Networks and Their Applications VIII. COMPLEX NETWORKS 2019. Studies in Computational Intelligence, vol 882. Springer, Cham. https://doi.org/10.1007/978-3-030-36683-4_30

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