Zur Hauptnavigation wechseln Zur Suche wechseln Zum Hauptinhalt wechseln

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

  • Armin A. Weiser
  • , Stefan Gross
  • , Anika Schielke
  • , Jan-Frederik Wigger
  • , Andrea Ernert
  • , Julian Adolphs
  • , Alexandra Fetsch
  • , Christine Müller-Graf
  • , Annemarie Kasbohrer
  • , Olaf Mosbach-Schulz
  • , Bernd Appel
  • , Matthias Greiner

Publikation: Beitrag in FachzeitschriftArtikelBegutachtung

Abstract

The Shiga toxin-producing Escherichia coli O104:H4 outbreak in Germany in 2011 required the development of appropriate tools in real-time for tracing suspicious foods along the supply chain, namely salad ingredients, sprouts, and seeds. Food commodities consumed at locations identified as most probable site of infection (outbreak clusters) were traced back in order to identify connections between different disease clusters via the supply chain of the foods. A newly developed relational database with integrated consistency and plausibility checks was used to collate these data for further analysis. Connections between suppliers, distributors, and producers were visualized in network graphs and geographic projections. Finally, this trace-back and trace-forward analysis led to the identification of sprouts produced by a horticultural farm in Lower Saxony as vehicle for the pathogen, and a specific lot of fenugreek seeds imported from Egypt as the most likely source of contamination. Network graphs have proven to be a powerful tool for summarizing and communicating complex trade relationships to various stake holders. The present article gives a detailed description of the newly developed tracing tools and recommendations for necessary requirements and improvements for future foodborne outbreak investigations.
OriginalspracheEnglisch
Seiten (von - bis)263-269
Seitenumfang7
FachzeitschriftFoodborne Pathogens and Disease
Volume10
Ausgabenummer3
DOIs
PublikationsstatusVeröffentlicht - März 2013

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

  1. SDG 3 – Gute Gesundheit und Wohlergehen
    SDG 3 – Gute Gesundheit und Wohlergehen
  2. SDG 10 – Weniger Ungleichheiten
    SDG 10 – Weniger Ungleichheiten
  3. SDG 17 - Partnerschaften für die Ziele
    SDG 17 Partnerschaften für die Ziele

Wissenschaftszweige

  • 103036 Theoretische Physik
  • 103029 Statistische Physik
  • 106006 Biophysik
  • 103025 Quantenmechanik
  • 104017 Physikalische Chemie
  • 211915 Solartechnik

JKU-Schwerpunkte

  • Nano-, Bio- and Polymer-Systems: From Structure to Function
  • TNF Allgemein

Dieses zitieren