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Cited by 396

The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.

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

Open access
Streeck, Hendrik, Schulte, Bianca, Kümmerer, Beate M., Richter, Enrico, Höller, Tobias, Fuhrmann, Christine, Bartok, Eva, Dolscheid-Pommerich, Ramona, Berger, Moritz, Wessendorf, Lukas, Eschbach-Bludau, Monika, Kellings, Angelika, Schwaiger, Astrid, Coenen, Martin, Hoffmann, Per, Stoffel-Wagner, Birgit, Nöthen, Markus M., Eis-Hübinger, Anna M., Exner, Martin, Schmithausen, Ricarda Maria, Schmid, Matthias, Hartmann, Gunther·2020·Nature Communications
DOI 10.1038/s41467-020-19509-y

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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 < 0.001) and number of symptoms (estimated relative mean increase 1.6, p = 0.007). While the infection rate here is not representative for Germany, the IFR is useful to estimate the consequences of the pandemic in places with similar healthcare systems and population characteristics. Whether the super-spreading event not only increases the infection rate but also affects the IFR requires further investigation.

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Metadata

Authors
Streeck, H., Schulte, B., Kümmerer, B. M., Richter, E., Höller, T., Fuhrmann, C., Bartok, E., Dolscheid-Pommerich, R., Berger, M., Wessendorf, L., Eschbach-Bludau, M., Kellings, A., Schwaiger, A., Coenen, M., Hoffmann, P., Stoffel-Wagner, B., Nöthen, M. M., Eis-Hübinger, A. M., Exner, M., Schmithausen, R. M., Schmid, M., & Hartmann, G.
Venue
Nature Communications
Publisher
Springer Science and Business Media LLC
Published
2020-11-17
Volume
11
Issue
1
Pages
5829-5829
ISSN
2041-1723 (ISSN-L)
DOI
10.1038/s41467-020-19509-y
OpenAlex
W3101046181
Cited by
396
References
40
FWCI
14.72
Type
journal article
Language
en
Open access
gold
Licence
Funders
The government of the German Federal State of North Rhine-Westphalia unconditionally provided 65,000 Euro to support the study.

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CoChat. (2026). Citation check: Infection fatality rate of SARS-CoV2 in a super-spreading event in Germany. https://app.cochat.ai/papers/10.1038/s41467-020-19509-y
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Streeck, H., Schulte, B., Kümmerer, B. M., Richter, E., Höller, T., Fuhrmann, C., Bartok, E., Dolscheid-Pommerich, R., Berger, M., Wessendorf, L., Eschbach-Bludau, M., Kellings, A., Schwaiger, A., Coenen, M., Hoffmann, P., Stoffel-Wagner, B., Nöthen, M. M., Eis-Hübinger, A. M., Exner, M., . . . Hartmann, G. (2020). Infection fatality rate of SARS-CoV2 in a super-spreading event in Germany. Nature Communications. https://doi.org/10.1038/s41467-020-19509-y

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.