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

Nature Communications
Hendrik StreeckGunther Hartmann

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. Whet...Continue Reading

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Methods Mentioned

BETA
PCR
ELISA
enzyme-linked immunosorbent assays

Software Mentioned

REDCap ( Research Electronic Data Capture
R Language for Statistical Computing ( R Core Team
R Language for Statistical Computing
REDCap
SAS System
SAS
R Foundation for Statistical

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