Evidence map›Paper›PMID 37442952›Full record

ArticleBMC infectious diseases2023

The representative COVID-19 cohort Munich (KoCo19): from the beginning of the pandemic to the Delta virus variant.

Ronan Le Gleut, Michael Plank, Peter Pütz, Katja Radon, Abhishek Bakuli, Raquel Rubio-Acero, Ivana Paunovic, Friedrich Rieß, Simon Winter, Christina Reinkemeyer and 11 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 2023. 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.

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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

21 authors.

Ronan Le Gleut *Institute of Computational Biology, Helmholtz Munich, German Research Centre for Environmental Health, 85764, Neuherberg, Germany.
Michael Plank *Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany.
Peter PützRobert Koch Institute, Nordufer 20, 13353, Berlin, Germany.
Katja RadonInstitute and Outpatient Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, 80336, Munich, Germany.
Abhishek BakuliDivision of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany.
Raquel Rubio-AceroDivision of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany.
Ivana PaunovicDivision of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany.
Friedrich RießDivision of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany.
Simon WinterDivision of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany.
Christina ReinkemeyerDivision of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany.
Yannik SchälteInstitute of Computational Biology, Helmholtz Munich, German Research Centre for Environmental Health, 85764, Neuherberg, Germany.
Laura OlbrichDivision of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany.
Marlene HannesDivision of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany.
Inge KroidlDivision of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany.
Ivan NoreñaDivision of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany.
Christian JankeDivision of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany.
Andreas Wieser *Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany.
Michael Hoelscher *Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany.
Christiane Fuchs *Institute of Computational Biology, Helmholtz Munich, German Research Centre for Environmental Health, 85764, Neuherberg, Germany.
Noemi Castelletti *Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany. noemi.castellitti@med.uni-muenchen.de.
KoCo19/ORCHESTRA-study group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPopulation-based serological studies allow to estimate prevalence of SARS-CoV-2 infections despite a substantial number of mild or asymptomatic disease courses. This became even more relevant for decision making after vaccination started. The KoCo19 cohort tracks the pandemic progress in the Munich general population for over two years, setting it apart in Europe.

methodsRecruitment occurred during the initial pandemic wave, including 5313 participants above 13 years from private households in Munich. Four follow-ups were held at crucial times of the pandemic, with response rates of at least 70%. Participants filled questionnaires on socio-demographics and potential risk factors of infection. From Follow-up 2, information on SARS-CoV-2 vaccination was added. SARS-CoV-2 antibody status was measured using the Roche Elecsys® Anti-SARS-CoV-2 anti-N assay (indicating previous infection) and the Roche Elecsys® Anti-SARS-CoV-2 anti-S assay (indicating previous infection and/or vaccination). This allowed us to distinguish between sources of acquired antibodies.

resultsThe SARS-CoV-2 estimated cumulative sero-prevalence increased from 1.6% (1.1-2.1%) in May 2020 to 14.5% (12.7-16.2%) in November 2021. Underreporting with respect to official numbers fluctuated with testing policies and capacities, becoming a factor of more than two during the second half of 2021. Simultaneously, the vaccination campaign against the SARS-CoV-2 virus increased the percentage of the Munich population having antibodies, with 86.8% (85.5-87.9%) having developed anti-S and/or anti-N in November 2021. Incidence rates for infections after (BTI) and without previous vaccination (INS) differed (ratio INS/BTI of 2.1, 0.7-3.6). However, the prevalence of infections was higher in the non-vaccinated population than in the vaccinated one. Considering the whole follow-up time, being born outside Germany, working in a high-risk job and living area per inhabitant were identified as risk factors for infection, while other socio-demographic and health-related variables were not. Although we obtained significant within-household clustering of SARS-CoV-2 cases, no further geospatial clustering was found.

conclusionsVaccination increased the coverage of the Munich population presenting SARS-CoV-2 antibodies, but breakthrough infections contribute to community spread. As underreporting stays relevant over time, infections can go undetected, so non-pharmaceutical measures are crucial, particularly for highly contagious strains like Omicron.

Indexed as

COVID-19Antibodies, ViralCOVID-19 VaccinesHepatitis Delta VirusHumansPandemicsSARS-CoV-2Antibodies, ViralCOVID-19 VaccinesBreakthrough infectionsCOVID-19ORCHESTRAPopulation-based cohort studySARS-CoV-2Sero-incidenceSero-prevalenceVaccination status

Identifiers

PMID37442952
PMCPMC10339498

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Registered trials

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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.