Evidence map›Paper›PMID 34493217›Full record

ArticleBMC infectious diseases2021

From first to second wave: follow-up of the prospective COVID-19 cohort (KoCo19) in Munich (Germany).

Katja Radon, Abhishek Bakuli, Peter Pütz, Ronan Le Gleut, Jessica Michelle Guggenbuehl Noller, Laura Olbrich, Elmar Saathoff, Mercè Garí, Yannik Schälte, Turid Frahnow and 24 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
5.2field-weighted citation impact, top 3% of its field
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

26 citing papers in PubMed, 49 citations in OpenAlex.

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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

34 authors at 5 institutions in 1 country.

Katja Radon *Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, 80336, Munich, Germany. katja.radon@med.lmu.de.ORCID http://orcid.org/0000-0002-5271-3972
Abhishek Bakuli *Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany.
Peter Pütz *Institute of Computational Biology, Helmholtz Zentrum München-German Research Center for Environmental Health, 85764, Neuherberg, Germany.
Ronan Le Gleut *Institute of Computational Biology, Helmholtz Zentrum München-German Research Center for Environmental Health, 85764, Neuherberg, Germany.
Jessica Michelle Guggenbuehl NollerDivision of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany.
Laura OlbrichDivision of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany.
Elmar SaathoffDivision of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany.
Mercè GaríInstitute of Computational Biology, Helmholtz Zentrum München-German Research Center for Environmental Health, 85764, Neuherberg, Germany.
Yannik SchälteInstitute of Computational Biology, Helmholtz Zentrum München-German Research Center for Environmental Health, 85764, Neuherberg, Germany.
Turid FrahnowInstitute of Computational Biology, Helmholtz Zentrum München-German Research Center for Environmental Health, 85764, Neuherberg, Germany.
Roman WölfelGerman Center for Infection Research (DZIF), partner site, Munich, Germany.
Michael Pritsch *Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany.
Camilla RotheDivision of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany.
Michel PletschetteDivision 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.
Jessica BeyerlDivision of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany.
Dafni MetaxaDivision of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany.
Felix ForsterInstitute and Outpatient Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, 80336, Munich, Germany.
Verena ThielDivision of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany.
Noemi CastellettiDivision 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.
Maximilian N DiefenbachDivision of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany.
Günter FröschlCenter for International Health (CIH), University Hospital, LMU Munich, 80336, Munich, Germany.
Jan BrugerDivision 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.
Jonathan FreseDivision of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany.
Kerstin PuchingerDivision of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany.
Isabel BrandDivision 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.
Andreas Wieser *Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany.
Michael Hoelscher *Center for International Health (CIH), University Hospital, LMU Munich, 80336, Munich, Germany.
Jan Hasenauer *Institute of Computational Biology, Helmholtz Zentrum München-German Research Center for Environmental Health, 85764, Neuherberg, Germany.
Christiane Fuchs *Institute of Computational Biology, Helmholtz Zentrum München-German Research Center for Environmental Health, 85764, Neuherberg, Germany.
KoCo19 study group
LMU Klinikum · DEBielefeld University · DEHelmholtz Zentrum München · DEUniversität der Bundeswehr München · DEUniversity of Bonn · DE

Funding

Bundesministerium für Forschung und Technologie MoKoCo19, reference number 01KI20271Deutsche Forschungsgemeinschaft SEPAN Grant number: HA 7376/3-1Horizon 2020 ORCHESTRA Grant agreement ID: 10101616Volkswagen Foundation 2 Grant number: 99 450
6 · The paper itself

Abstract

backgroundIn the 2nd year of the COVID-19 pandemic, knowledge about the dynamics of the infection in the general population is still limited. Such information is essential for health planners, as many of those infected show no or only mild symptoms and thus, escape the surveillance system. We therefore aimed to describe the course of the pandemic in the Munich general population living in private households from April 2020 to January 2021.

methodsThe KoCo19 baseline study took place from April to June 2020 including 5313 participants (age 14 years and above). From November 2020 to January 2021, we could again measure SARS-CoV-2 antibody status in 4433 of the baseline participants (response 83%). Participants were offered a self-sampling kit to take a capillary blood sample (dry blood spot; DBS). Blood was analysed using the Elecsys® Anti-SARS-CoV-2 assay (Roche). Questionnaire information on socio-demographics and potential risk factors assessed at baseline was available for all participants. In addition, follow-up information on health-risk taking behaviour and number of personal contacts outside the household (N = 2768) as well as leisure time activities (N = 1263) were collected in summer 2020.

resultsWeighted and adjusted (for specificity and sensitivity) SARS-CoV-2 sero-prevalence at follow-up was 3.6% (95% CI 2.9-4.3%) as compared to 1.8% (95% CI 1.3-3.4%) at baseline. 91% of those tested positive at baseline were also antibody-positive at follow-up. While sero-prevalence increased from early November 2020 to January 2021, no indication of geospatial clustering across the city of Munich was found, although cases clustered within households. Taking baseline result and time to follow-up into account, men and participants in the age group 20-34 years were at the highest risk of sero-positivity. In the sensitivity analyses, differences in health-risk taking behaviour, number of personal contacts and leisure time activities partly explained these differences.

conclusionThe number of citizens in Munich with SARS-CoV-2 antibodies was still below 5% during the 2nd wave of the pandemic. Antibodies remained present in the majority of SARS-CoV-2 sero-positive baseline participants. Besides age and sex, potentially confounded by differences in behaviour, no major risk factors could be identified. Non-pharmaceutical public health measures are thus still important.

Indexed as

COVID-19PandemicsFollow-Up StudiesGermanyHumansInfant, NewbornMaleSARS-CoV-2COVID-19ORCHESTRAPopulation-based cohort studySARS-CoV-2Sero-incidenceSero-prevalence

Identifiers

PMID34493217
PMCPMC8423599
OpenAlexW3198356087

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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.