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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, André ; Burkhardt, Ralph

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

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, André und Burkhardt, Ralph (2021) 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. Viruses 2021 (13), S. 1118. (Eingereicht)

Veröffentlichungsdatum dieses Volltextes: 25 Jun 2021 16:18
Artikel
DOI zum Zitieren dieses Dokuments: 10.5283/epub.45590


Zusammenfassung

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 ...

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 conducted a population-based study including home visits for the elderly, and analyzed 4203 participants for SARS-CoV-2 antibodies via three antibody tests. Latent class analysis yielded 8.6% standardized county-wide seroprevalence, a factor of underreported infections of 5.0, and 2.5% overall IFR. Seroprevalence was two-fold higher among medical workers and one third among current smokers with similar proportions of registered infections. While seroprevalence did not show an age-trend, the factor of underreported infections was 12.2 in the young versus 1.7 for >= 85-year-old. Age-specific IFRs were <0.5% below 60 years of age, 1.0% for age 60-69, and 13.2% for age 70+. Senior care homes accounted for 45% of COVID-19-related deaths, reflected by an IFR of 7.5% among individuals aged 70+ and an overall IFR of 1.4% when excluding senior care home residents from our computation. Our data underscore senior care home infections as key determinant of IFR additionally to age, insufficient targeted testing in the young, and the need for further investigations on behavioral or molecular causes of the fewer infections among current smokers.



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Details

DokumentenartArtikel
Titel eines Journals oder einer ZeitschriftViruses
Verlag:MDPI
Ort der Veröffentlichung:BASEL
Band:2021
Nummer des Zeitschriftenheftes oder des Kapitels:13
Seitenbereich:S. 1118
Datum10 Juni 2021
InstitutionenMedizin > Lehrstuhl für Kinder- und Jugendmedizin
Medizin > Lehrstuhl für Klinische Chemie und Laboratoriumsmedizin
Medizin > Lehrstuhl für Medizinische Mikrobiologie und Hygiene
Medizin > Institut für Epidemiologie und Präventivmedizin > Lehrstuhl für Genetische Epidemiologie
Identifikationsnummer
WertTyp
10.3390/v13061118DOI
Stichwörter / Keywords; SARS-CoV-2; seroprevalence; ELISA; CLIA; latent class analysis; antibodies; infection fatality ratio; underreported infections; smoking; senior care homes
Dewey-Dezimal-Klassifikation600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin
StatusEingereicht
BegutachtetJa, diese Version wurde begutachtet
An der Universität Regensburg entstandenJa
URN der UB Regensburgurn:nbn:de:bvb:355-epub-455902
Dokumenten-ID45590

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