Evidence map›Paper›PMID 33249407›Full record

ArticleJournal of epidemiology and community health2020

Nationwide seroprevalence of SARS-CoV-2 and identification of risk factors in the general population of the Netherlands during the first epidemic wave.

Eric R A Vos, Gerco den Hartog, Rutger M Schepp, Patricia Kaaijk, Jeffrey van Vliet, Kina Helm, Gaby Smits, Alienke Wijmenga-Monsuur, Janneke D M Verberk, Michiel van Boven and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of epidemiology and community health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 3 pooled it
2.5field-weighted citation impact, top 6% 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

63 citing papers in PubMed, 3 syntheses or guidelines pooled it, 131 citations in OpenAlex.

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  11. Contact behaviour before, during and after the COVID-19 pandemic in the Netherlands: evidence from contact surveys, 2016 to 2017 and 2020 to 2023.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2024
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  14. Projecting COVID-19 intensive care admissions for policy advice, the Netherlands, February 2020 to January 2021.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2024
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3 more citing papers are in PubMed but not listed here.

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

14 authors at 1 institution in 1 country.

Eric R A VosCentre for Infectious Disease Control, RIVM, Bilthoven, Netherlands.ORCID http://orcid.org/0000-0001-9124-5836
Gerco den HartogCentre for Infectious Disease Control, RIVM, Bilthoven, Netherlands.ORCID http://orcid.org/0000-0002-2103-6315
Rutger M ScheppCentre for Infectious Disease Control, RIVM, Bilthoven, Netherlands.
Patricia KaaijkCentre for Infectious Disease Control, RIVM, Bilthoven, Netherlands.
Jeffrey van VlietCentre for Infectious Disease Control, RIVM, Bilthoven, Netherlands.
Kina HelmCentre for Infectious Disease Control, RIVM, Bilthoven, Netherlands.
Gaby SmitsCentre for Infectious Disease Control, RIVM, Bilthoven, Netherlands.
Alienke Wijmenga-MonsuurCentre for Infectious Disease Control, RIVM, Bilthoven, Netherlands.
Janneke D M VerberkCentre for Infectious Disease Control, RIVM, Bilthoven, Netherlands.
Michiel van BovenCentre for Infectious Disease Control, RIVM, Bilthoven, Netherlands.
Rob S van BinnendijkCentre for Infectious Disease Control, RIVM, Bilthoven, Netherlands.
Hester E de MelkerCentre for Infectious Disease Control, RIVM, Bilthoven, Netherlands.
Liesbeth MollemaCentre for Infectious Disease Control, RIVM, Bilthoven, Netherlands.
Fiona R M van der KlisCentre for Infectious Disease Control, RIVM, Bilthoven, Netherlands fiona.van.der.klis@rivm.nl.
Eindhoven Cancer Registry · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to detect SARS-CoV-2 serum antibodies in the general population of the Netherlands and identify risk factors for seropositivity amidst the first COVID-19 epidemic wave.

methodsParticipants (n=3207, aged 2-90 years), enrolled from a previously established nationwide serosurveillance study, provided a self-collected fingerstick blood sample and completed a questionnaire (median inclusion date 3 April 2020). IgG antibodies targeted against the spike S1-protein of SARS-CoV-2 were quantified using a validated multiplex-immunoassay. Seroprevalence was estimated controlling for survey design, individual pre-pandemic concentration, and test performance. Random-effects logistic regression identified risk factors for seropositivity.

resultsOverall seroprevalence in the Netherlands was 2.8% (95% CI 2.1 to 3.7), with no differences between sexes or ethnic background, and regionally ranging between 1.3 and 4.0%. Estimates were highest among 18-39 year-olds (4.9%), and lowest in children 2-17 years (1.7%). Multivariable analysis revealed that persons taking immunosuppressants and those from the Orthodox-Reformed Protestant community had over four times higher odds of being seropositive compared to others. Anosmia/ageusia was the most discriminative symptom between seropositive (53%) and seronegative persons (4%, p<0.0001). Antibody concentrations in seropositive persons were significantly higher in those with fever or dyspnoea in contrast to those without (p=0.01 and p=0.04, respectively).

conclusionsIn the midst of the first epidemic wave, 2.8% of the Dutch population was estimated to be infected with SARS-CoV-2, that is, 30 times higher than reported. This study identified independent groups with increased odds for seropositivity that may require specific surveillance measures to guide future protective interventions internationally, including vaccination once available.

Indexed as

EpidemicsEpidemiologyInfectionPublic healthSurveillance

Identifiers

PMID33249407
PMCPMC8142429
OpenAlexW3107465908

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.