IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v11y2020i1d10.1038_s41467-020-19509-y.html
   My bibliography  Save this article

Infection fatality rate of SARS-CoV2 in a super-spreading event in Germany

Author

Listed:
  • Hendrik Streeck

    (University Hospital, University of Bonn
    German Center for Infection Research (DZIF), Partner Site Bonn-Cologne)

  • Bianca Schulte

    (University Hospital, University of Bonn
    German Center for Infection Research (DZIF), Partner Site Bonn-Cologne)

  • Beate M. Kümmerer

    (University Hospital, University of Bonn
    German Center for Infection Research (DZIF), Partner Site Bonn-Cologne)

  • Enrico Richter

    (University Hospital, University of Bonn
    German Center for Infection Research (DZIF), Partner Site Bonn-Cologne)

  • Tobias Höller

    (University Hospital, University of Bonn)

  • Christine Fuhrmann

    (University Hospital, University of Bonn)

  • Eva Bartok

    (German Center for Infection Research (DZIF), Partner Site Bonn-Cologne
    University Hospital, University of Bonn)

  • Ramona Dolscheid-Pommerich

    (German Center for Infection Research (DZIF), Partner Site Bonn-Cologne
    University Hospital, University of Bonn)

  • Moritz Berger

    (Informatics and Epidemiology, University Hospital, University of Bonn)

  • Lukas Wessendorf

    (University Hospital, University of Bonn
    German Center for Infection Research (DZIF), Partner Site Bonn-Cologne)

  • Monika Eschbach-Bludau

    (University Hospital, University of Bonn
    German Center for Infection Research (DZIF), Partner Site Bonn-Cologne)

  • Angelika Kellings

    (University Hospital, University of Bonn)

  • Astrid Schwaiger

    (University Hospital, University of Bonn)

  • Martin Coenen

    (University Hospital, University of Bonn)

  • Per Hoffmann

    (University Hospital, University of Bonn)

  • Birgit Stoffel-Wagner

    (German Center for Infection Research (DZIF), Partner Site Bonn-Cologne
    University Hospital, University of Bonn)

  • Markus M. Nöthen

    (University Hospital, University of Bonn)

  • Anna M. Eis-Hübinger

    (University Hospital, University of Bonn
    German Center for Infection Research (DZIF), Partner Site Bonn-Cologne)

  • Martin Exner

    (University Hospital, University of Bonn)

  • Ricarda Maria Schmithausen

    (University Hospital, University of Bonn)

  • Matthias Schmid

    (Informatics and Epidemiology, University Hospital, University of Bonn)

  • Gunther Hartmann

    (German Center for Infection Research (DZIF), Partner Site Bonn-Cologne
    University Hospital, University of Bonn)

Abstract

A SARS-CoV2 super-spreading event occurred during carnival in a small town in Germany. Due to the rapidly imposed lockdown and its relatively closed community, this town was seen as an ideal model to investigate the infection fatality rate (IFR). Here, a 7-day seroepidemiological observational study was performed to collect information and biomaterials from a random, household-based study population. The number of infections was determined by IgG analyses and PCR testing. We found that of the 919 individuals with evaluable infection status, 15.5% (95% CI:[12.3%; 19.0%]) were infected. This is a fivefold higher rate than the reported cases for this community (3.1%). 22.2% of all infected individuals were asymptomatic. The estimated IFR was 0.36% (95% CI:[0.29%; 0.45%]) for the community and 0.35% [0.28%; 0.45%] when age-standardized to the population of the community. Participation in carnival increased both infection rate (21.3% versus 9.5%, p

Suggested Citation

  • Hendrik Streeck & Bianca Schulte & Beate M. Kümmerer & Enrico Richter & Tobias Höller & Christine Fuhrmann & Eva Bartok & Ramona Dolscheid-Pommerich & Moritz Berger & Lukas Wessendorf & Monika Eschbac, 2020. "Infection fatality rate of SARS-CoV2 in a super-spreading event in Germany," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-19509-y
    DOI: 10.1038/s41467-020-19509-y
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-020-19509-y
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-020-19509-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-19509-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.