Corona Monitoring Nationwide (RKI-SOEP-2): Seroepidemiological Study on the Spread of SARS-CoV-2 Across Germany

Bartig Susanne, Brücker Herbert, Butschalowsky Hans, Christian Danne, Gößwald Antje, Goßner Laura, Markus Grabka, Haller Sebastian, Hess Doris, Hey Isabell, Hoebel Jens, Jordan Susanne, Kubisch Ulrike, Niehues Wenke, Poethko-Mueller Christina, Priem Maximilian, Rother Nina, Schaade Lars, Schaffrath Rosario Angelika, Schlaud Martin, Siegert Manuel, Stahlberg Silke, Steinhauer Hans W., Tanis Kerstin, Torregroza Sabrina, Parvati Trübswetter, Wernitz Jörg, Wieler Lothar H., Wilking Hendrik and Zinn Sabine
Additional contact information
Bartig Susanne: Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
Brücker Herbert: Institute for Employment Research (IAB) of the Federal Employment Agency (BA), Nuremberg, Germany
Butschalowsky Hans: Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
Gößwald Antje: Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
Goßner Laura: Institute for Employment Research (IAB) of the Federal Employment Agency (BA), Nuremberg, Germany
Haller Sebastian: Department of Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany
Hess Doris: infas Institute for Applied Social Sciences, Bonn, Germany
Hey Isabell: Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
Hoebel Jens: Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
Jordan Susanne: Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
Kubisch Ulrike: Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
Niehues Wenke: Research Center of the Federal Office for Migration and Refugees, Nuremberg, Germany
Poethko-Mueller Christina: Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
Priem Maximilian: DIW Econ, Berlin, Germany
Rother Nina: Research Center of the Federal Office for Migration and Refugees, Nuremberg, Germany
Schaade Lars: Centre for Biological Threats and Special Pathogens, Robert Koch Institute, Berlin, Germany
Schaffrath Rosario Angelika: Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
Schlaud Martin: Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
Siegert Manuel: Research Center of the Federal Office for Migration and Refugees, Nuremberg, Germany
Stahlberg Silke: Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
Steinhauer Hans W.: Socio-Economic Panel, German Institute for Economic Research, Berlin, Germany
Tanis Kerstin: Research Center of the Federal Office for Migration and Refugees, Nuremberg, Germany
Torregroza Sabrina: infas Institute for Applied Social Sciences, Bonn, Germany
Wernitz Jörg: Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
Wieler Lothar H.: Institute Leadership, Robert Koch Institute, Berlin, Germany
Wilking Hendrik: Department of Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany
Zinn Sabine: Socio-Economic Panel, German Institute for Economic Research, Berlin, Germany

Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), 2023, vol. 243, issue 3-4, 431-449

Abstract: SARS-CoV-2, the coronavirus, spread across Germany within just a short period of time. Seroepidemiological studies are able to estimate the proportion of the population with antibodies against SARS-CoV-2 infection (seroprevalence) as well as the level of undetected infections, which are not captured in official figures. In the seroepidemiological study Corona Monitoring Nationwide (RKI-SOEP-2), biospecimens and interview data were collected in a nationwide population-based subsample of the Socio-Economic Panel (SOEP). By using laboratory-analyzed blood samples to detect antibodies to the SARS-CoV-2 virus, we were able to identify a history of vaccination or infection in study participants. By combining these results with survey data, we were able to identify groups within the population that are at increased risk of infection. By linking the RKI-SOEP-2 survey data with data from other waves of the SOEP survey, we will be able to examine the medium- to long-term impacts of the COVID-19 pandemic, including effects of long COVID, in diverse areas of life. Furthermore, the data provide insight into the population’s willingness to be vaccinated as well as related attitudes and conditions. In sum, the RKI-SOEP-2 survey data offer a better understanding of the scope of the epidemic in Germany and can help in identifying target groups for infection control in the present and future pandemics.

Keywords: SARS-CoV-2; COVID-19; seroepidemiological study; seroprevalence; vaccine status; willingness for vaccination; SOEP (search for similar items in EconPapers)
JEL-codes: C89 I12 I19 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:jns:jbstat:v:243:y:2023:i:3-4:p:431-449:n:10

DOI: 10.1515/jbnst-2022-0047

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