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Estimates and determinants of SARS-CoV-2 seroprevalence and infection fatality ratio using latent class analysis: the population-based Tirschenreuth study in the hardest-hit German county in spring 2020

URN to cite this document:
urn:nbn:de:bvb:355-epub-455902
DOI to cite this document:
10.5283/epub.45590
Wagner, Ralf ; Peterhoff, David ; Beileke, Stephanie ; Günther, Felix ; Berr, Melanie ; Einhauser, Sebastian ; Schütz, Anja ; Niller, Hans-Helmut ; Steininger, Philipp ; Knöll, Antje ; Tenbusch, Matthias ; Maier, Clara ; Kabesch, Michael ; Schedl, Holger ; Küchenhoff, Helmut ; Pfahlberg, Annette B. ; Heid, Iris M. ; Gefeller, Olaf ; Überla, Klaus ; Korn, Klaus ; Stark, Klaus J. ; Gessner, Andre ; Burkhardt, Ralph
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Date of publication of this fulltext: 25 Jun 2021 16:18



Abstract

SARS-CoV-2 infection fatality ratios (IFR) remain controversially discussed with implications for political measures. The German county of Tirschenreuth suffered a severe SARS-CoV-2 outbreak in spring 2020, with particularly high case fatality ratio (CFR). To estimate seroprevalence, underreported infections, and IFR for the Tirschenreuth population aged >= 14 years in June/July 2020, we ...

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