Go to content
UR Home

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:
DOI to cite this document:
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
License: Creative Commons Attribution 4.0
PDF - Published Version
Date of publication of this fulltext: 25 Jun 2021 16:18


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 ...


Owner only: item control page
  1. Homepage UR

University Library

Publication Server


Publishing: oa@ur.de
0941 943 -4239 or -69394

Dissertations: dissertationen@ur.de
0941 943 -3904

Research data: datahub@ur.de
0941 943 -5707

Contact persons