Evidence map›Paper›PMID 34888394›Full record

ArticleOpen forum infectious diseases2021

A Multidimensional Cross-Sectional Analysis of Coronavirus Disease 2019 Seroprevalence Among a Police Officer Cohort: The PoliCOV-19 Study.

Parham Sendi, Rossella Baldan, Marc Thierstein, Nadja Widmer, Peter Gowland, Brigitta Gahl, Annina Elisabeth Büchi, Dominik Güntensperger, Manon Wider, Manuel Raphael Blum and 6 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Open forum infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04643444 (Police Officer COVID-19 Seroprevalence Survey in the Canton of Bern, Switzerland), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 42% 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.

NCT04643444 completednot on this map

Police Officer COVID-19 Seroprevalence Survey in the Canton of Bern, Switzerland

TypeobservationalSponsorUniversity of BernRan2021 to 2022Enrolled1,024ConditionsSARS-CoV-2 Infection, Volunteers, HealthyArmsBlood sampling, Online Questionnaire
3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

16 authors at 6 institutions in 2 countries.

Parham SendiInstitute for Infectious Diseases, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0002-7347-6312
Rossella BaldanInstitute for Infectious Diseases, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0002-4674-4326
Marc ThiersteinDivision Operations, Cantonal Police Bern, Bern, Switzerland.
Nadja WidmerInterregional Blood Transfusion, Swiss Red Cross, Bern, Switzerland.
Peter GowlandInterregional Blood Transfusion, Swiss Red Cross, Bern, Switzerland.ORCID https://orcid.org/0000-0002-9337-2836
Brigitta GahlClinical Trials Unit, CTU Bern, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0001-8123-0438
Annina Elisabeth BüchiDepartment of Emergency Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0002-5424-8699
Dominik GüntenspergerClinical Trials Unit, CTU Bern, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0003-2486-0198
Manon WiderInstitute for Infectious Diseases, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0002-9795-1472
Manuel Raphael BlumDepartment of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0003-4638-775X
Caroline TinguelyInterregional Blood Transfusion, Swiss Red Cross, Bern, Switzerland.ORCID https://orcid.org/0000-0002-0207-9213
Cédric MaillatHôpital du Jura bernois SA, Saint-Imier, Switzerland.
Elitza S TheelDivision of Clinical Microbiology, Mayo Clinic, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0002-6886-2294
Elie BerbariDivision of Infectious Diseases, Mayo Clinic, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0001-9817-5391
Ronald DijkmanInstitute for Infectious Diseases, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0003-0320-2743
Christoph NiederhauserInstitute for Infectious Diseases, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0003-3142-7616
University of Bern · CHSwiss Red Cross · CHFederal Department of Justice and Police · CHHôpital du Jura Bernois · CHMayo Clinic · USMayo Clinic in Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProtests and police fieldwork provide a high-exposure environment for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections. In this cross-sectional analysis, we investigated the seroprevalence among a police cohort, and sociodemographic, work, and health-related factors associated with seropositivity.

methodsStudy participants were invited for serological testing of SARS-CoV-2 and to complete online questionnaires. Serum neutralization titers toward the wild-type SARS-CoV-2 spike protein (expressing D614G) and the Alpha and Beta variants were measured in seropositive study participants.

resultsA total of 978 police personnel representing 35% of the entire staff participated from February to March 2021. The seroprevalence was 12.9%. It varied by geographic region, ranged from 9% to 13.5% in 3 regions, including the city; and was 22% in Bernese Seeland/Jura with higher odds for seropositivity (odds ratio [OR], 2.38 [95% confidence interval {CI}, 1.28-4.44],

conclusionsThe seroprevalence of anti-SARS-CoV-2 antibodies of police officers was comparable to that reported in the general population, suggesting that the personal protective equipment of the police is effective, and that household contacts are the leading transmission venues. The level of serum antibody titers, in particular that of anti-spike antibodies, correlated well with neutralization capacity. Low antibody titers acquired from natural infection were not effective against variants. CLINICAL TRIALS REGISTRATION: NCT04643444.

Indexed as

anti-SARS-CoV-2 antibodiescoronavirus disease 2019police officersseroprevalence

Identifiers

PMID34888394
PMCPMC8651158
OpenAlexW3207486201

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.