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Source attribution of foodborne pathogens in the Netherlands using structured expert elicitation

  • Delft University of Technology
  • National Institute of Public Health and the Environment
  • Resources for Future Incorporated

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Foodborne pathogens represent a significant public health burden. Quantifying the relative importance of various potential sources of foodborne infection is challenging due to data scarcity and uncertainty in empirical studies. Structured expert judgment (SEJ) provides a valuable methodological alternative to gain insights into source attribution of foodborne pathogens. We conducted a SEJ study to attribute human cases of 26 foodborne pathogens in the Netherlands to seven major transmission pathways, 20 food groups, and two animal groups, in a typical post-COVID19 year, using Cooke's classical model. The elicitation process involved snowball recruitment, expertise self-assessment, and a workshop where experts answered calibration questions to capture their uncertainty as input for the model. Subsequently, experts completed the target questions to obtain attributable proportions at the ‘kitchen door’ level. Results indicated that transmission was predominantly (>50%) foodborne for Staphylococcus aureus , Listeria monocytogenes , Yersinia spp., Bacillus cereus , Clostridium perfringens , certain non-typhoidal Salmonella serotypes, Campylobacter spp., hepatitis E virus and Toxoplasma gondii , whereas person-to-person transmission was the primary pathway for astrovirus, rotavirus, norovirus, and sapovirus. Brucella spp. and typhoidal Salmonella were attributed primarily (>85%) to international travel. All other pathogens showed attributions of <50% to any individual pathway. Substantial differences were observed when dividing foodborne transmission into food groups. Key contributors included food handlers and vermin, various meats (e.g., pork, beef, chicken), and shellfish. These SEJ-derived estimates complement existing data by providing pathogen-specific insights in the Dutch context.

Original languageEnglish
Article number111735
JournalInternational Journal of Food Microbiology
Volume454
DOIs
Publication statusPublished - 2 Jun 2026

Bibliographical note

Publisher Copyright:
© 2026 The Authors.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Calibration questions
  • Food items
  • Foodborne pathogens
  • Kitchen door level approach
  • Source attribution
  • Structured expert judgment
  • Transmission pathways

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