2021
DOI: 10.2139/ssrn.3834300
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SARS-CoV-2 Seroprevalence in Germany - A Population Based Sequential Study in Five Regions

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Cited by 16 publications
(23 citation statements)
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“…As initial conditions, we set I (0) = 2.4 × 10 −3 and R (0) = 4.2 × 10 −2 , which corresponds respectively to twice the sum of the reported number of new cases in the 5 days before 1 January 2021 in Germany and twice the reported number of total cases on 1 January 2021 [ 25 ], making the assumption that only 50% of the cases are detected [ 26 ]. The number of recovered cases is in line with seroprevalence studies in Germany at this time [ 27 , 28 ]. To account for the uncertainty in the initial value of infectious cases I (0), we explore the dynamics with other values in the electronic supplementary material, finding that the qualitative results remain the same (figure S8).…”
Section: The Modelsupporting
confidence: 80%
“…As initial conditions, we set I (0) = 2.4 × 10 −3 and R (0) = 4.2 × 10 −2 , which corresponds respectively to twice the sum of the reported number of new cases in the 5 days before 1 January 2021 in Germany and twice the reported number of total cases on 1 January 2021 [ 25 ], making the assumption that only 50% of the cases are detected [ 26 ]. The number of recovered cases is in line with seroprevalence studies in Germany at this time [ 27 , 28 ]. To account for the uncertainty in the initial value of infectious cases I (0), we explore the dynamics with other values in the electronic supplementary material, finding that the qualitative results remain the same (figure S8).…”
Section: The Modelsupporting
confidence: 80%
“…Seroconversion studies in humans including all regions of Germany have not been conducted during the first wave. However, two investigations performed between March and May 2020 (Fischer et al., 2020) and between July and December 2020 (Gornyk et al., 2021) revealed a seroconversion rate between 1% and 2%. Hence, both studies found similar results to the one we found in cats, which highlights again, that cats are a valuable indicator concerning the prevalence of SARS‐CoV‐2 antibodies in the human population.…”
Section: Discussionmentioning
confidence: 99%
“…Based on pandemic phase-and age-specific underdetection ratios derived from populationbased studies among adults [12] and children [17,18,32], we estimated average age-specific underdetection ratios for different phases of the pandemic in Germany (see Table 1), which we implemented in our model. Gornyk et al [12] investigated seroprevalence estimates for SARS-CoV-2 that indicated an age-specific underreporting ratio (infected to reported) of COVID-19 transmission in a large (>25000 participants, seven large regions in Germany) population-based seroprevalence study and we used their estimates for age-specific underdetection ratios in adults. For children, we used seroprevalence studies available for the south of Germany during the first and second waves [17,18,32].…”
Section: Datamentioning
confidence: 99%
“…Underdetection of actual infection activity by notified case reports to authorities is a wellknown limitation, but not often included in modeling efforts, even less using age-specific underreporting estimates [20,27]. For Germany, population-based studies suggest that actual infection activity is heterogeneous across regions, time points, and age groups [12]. However, both age and underdetection of infections are highly relevant for predicting regional infection events, especially for different contact areas and for estimating the effectiveness of interventions [14] as well as for predicting hospitalizations and deaths correctly.…”
Section: Introductionmentioning
confidence: 99%
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