Evidence map›Paper›PMID 35585914›Full record

ArticleJournal of health monitoring2021

Seroepidemiological study on the spread of SARS-CoV-2 in Germany: Study protocol of the CORONA-MONITORING bundesweit' study (RKI-SOEP study).

Jens Hoebel, Markus A Busch, Markus M Grabka, Sabine Zinn, Jennifer Allen, Antje Göfêwald, Jörg Wernitz, Jan Goebel, Hans Walter Steinhauer, Rainer Siegers and 23 more

Abstract read
In one paragraph

Article in Journal of health monitoring, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)) · 2022
    Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

33 authors.

Jens HoebelRobert Koch Institute, Berlin Department of Epidemiology and Health Monitoring.
Markus A BuschRobert Koch Institute, Berlin Department of Epidemiology and Health Monitoring.
Markus M GrabkaGerman Institute for Economic Research, Berlin, Socio-Economic Panel.
Sabine ZinnGerman Institute for Economic Research, Berlin, Socio-Economic Panel.
Jennifer AllenRobert Koch Institute, Berlin Department of Epidemiology and Health Monitoring.
Antje GöfêwaldRobert Koch Institute, Berlin Department of Epidemiology and Health Monitoring.
Jörg WernitzRobert Koch Institute, Berlin Department of Epidemiology and Health Monitoring.
Jan GoebelGerman Institute for Economic Research, Berlin, Socio-Economic Panel.
Hans Walter SteinhauerGerman Institute for Economic Research, Berlin, Socio-Economic Panel.
Rainer SiegersGerman Institute for Economic Research, Berlin, Socio-Economic Panel.
Carsten SchroderGerman Institute for Economic Research, Berlin, Socio-Economic Panel.
Tim KuttigRobert Koch Institute, Berlin Department of Epidemiology and Health Monitoring.
Hans ButschalowskyRobert Koch Institute, Berlin Department of Epidemiology and Health Monitoring.
Martin SchlaudRobert Koch Institute, Berlin Department of Epidemiology and Health Monitoring.
Angelika Schaffrath RosarioRobert Koch Institute, Berlin Department of Epidemiology and Health Monitoring.
Jana BrixKantar GmbH, Munich.
Anna RysinaKantar GmbH, Munich.
Axel GlemserKantar GmbH, Munich.
Hannelore NeuhauserRobert Koch Institute, Berlin Department of Epidemiology and Health Monitoring.
Silke StahlbergRobert Koch Institute, Berlin Department of Epidemiology and Health Monitoring.
Antje KneuerRobert Koch Institute, Berlin Department of Epidemiology and Health Monitoring.
Isabell HeyRobert Koch Institute, Berlin Department of Epidemiology and Health Monitoring.
Jörg SchaarschmidtRobert Koch Institute, Berlin Department of Epidemiology and Health Monitoring.
Julia FiebigRobert Koch Institute, Berlin Department of Epidemiology and Health Monitoring.
Nina Buttmann-SchweigerRobert Koch Institute, Berlin Department of Epidemiology and Health Monitoring.
Hendrik WilkingRobert Koch Institute, Berlin Department of Infectious Disease Epidemiology.
Janine MichelRobert Koch Institute, Berlin Centre for Biological Threats and Special Pathogens.
Andreas NitscheRobert Koch Institute, Berlin Centre for Biological Threats and Special Pathogens.
Lothar H WielerRobert Koch Institute, Berlin Institute Leadership.
Lars SchaadeRobert Koch Institute, Berlin Centre for Biological Threats and Special Pathogens.
Thomas ZieseRobert Koch Institute, Berlin Department of Epidemiology and Health Monitoring.
Stefan LiebigGerman Institute for Economic Research, Berlin, Socio-Economic Panel.
Thomas LampertRobert Koch Institute, Berlin Department of Epidemiology and Health Monitoring.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The SARS-CoV-2 coronavirus has spread rapidly across Germany. Infections are likely to be under-recorded in the notification data from local health authorities on laboratory-confirmed cases since SARS-CoV-2 infections can proceed with few symptoms and then often remain undetected. Seroepidemiological studies allow the estimation of the proportion in the population that has been infected with SARS-CoV-2 (seroprevalence) as well as the extent of undetected infections. The 'CORONA-MONITORING bundesweit' study (RKI-SOEP study) collects biospecimens and interview data in a nationwide population sample drawn from the German Socio-Economic Panel (SOEP). Participants are sent materials to self-collect a dry blood sample of capillary blood from their finger and a swab sample from their mouth and nose, as well as a questionnaire. The samples returned are tested for SARS-CoV-2 IgG antibodies and SARS-CoV-2 RNA to identify past or present infections. The methods applied enable the identification of SARS-CoV-2 infections, including those that previously went undetected. In addition, by linking the data collected with available SOEP data, the study has the potential to investigate social and health-related differences in infection status. Thus, the study contributes to an improved understanding of the extent of the epidemic in Germany, as well as identification of target groups for infection protection.

Indexed as

COVID-19CROSS-SECTIONAL STUDYSARS-COV-2SEROEPIDEMIOLOGICAL STUDYSTUDY PROTOCOL

Identifiers

PMID35585914
PMCPMC8832365

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.