Electronic Healthcare. 4th International Conference, eHealth 2011, Málaga, Spain, November 21-23, 2011, Revised Selected Papers

Research Article

Tracking Media Reports on the Shiga Toxin-Producing O104: H4 Outbreak in Germany

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  • @INPROCEEDINGS{10.1007/978-3-642-29262-0_26,
        author={Jens Linge and Jas Mantero and Flavio Fuart and Jenya Belyaeva and Martin Atkinson and Erik Goot},
        title={Tracking Media Reports on the Shiga Toxin-Producing  O104: H4 Outbreak in Germany},
        proceedings={Electronic Healthcare. 4th International Conference, eHealth 2011, M\^{a}laga, Spain, November 21-23, 2011, Revised Selected Papers},
        proceedings_a={E-HEALTH},
        year={2012},
        month={5},
        keywords={epidemic intelligence event-based surveillance E. coli EHEC MedISys},
        doi={10.1007/978-3-642-29262-0_26}
    }
    
  • Jens Linge
    Jas Mantero
    Flavio Fuart
    Jenya Belyaeva
    Martin Atkinson
    Erik Goot
    Year: 2012
    Tracking Media Reports on the Shiga Toxin-Producing O104: H4 Outbreak in Germany
    E-HEALTH
    Springer
    DOI: 10.1007/978-3-642-29262-0_26
Jens Linge1,*, Jas Mantero2,*, Flavio Fuart1,*, Jenya Belyaeva1,*, Martin Atkinson1,*, Erik Goot1,*
  • 1: Joint Research Centre of the European Commission
  • 2: European Centre for Disease Control and Prevention (ECDC)
*Contact email: jens.linge@jrc.ec.europa.eu, jas.mantero@ecdc.europa.eu, flavio.fuart@jrc.ec.europa.eu, jenya.belyaeva@ext.jrc.ec.europa.eu, martin.atkinson@jrc.ec.europa.eu, erik.van-der-goot@jrc.ec.europa.eu

Abstract

In May 2011, an outbreak of enterohemorrhagic (EHEC) occurred in northern Germany. The Shiga toxin-producing strain O104:H4 infected several thousand people, frequently leading to haemolytic uremic syndrome (HUS) and gastroenteritis (GI). First reports about the outbreak appeared in the German media on Saturday 21st of May 2011; the media attention rose to high levels in the following two weeks, with up to 2000 articles categorized per day by the automatic threat detection system MedISys (Medical Information System). In this article, we illustrate how MedISys detected the sudden increase in reporting on on 21st of May and how automatic analysis of the reporting provided epidemic intelligence information to follow the event. Categorization, filtering and clustering allowed identifying different aspects within the unfolding news event, analyzing general media and official sites in parallel.