Evidence map›Paper›PMID 35062247›Full record

ArticleViruses2021

Association between SARS-CoV-2 Seroprevalence in Nursing Home Staff and Resident COVID-19 Cases and Mortality: A Cross-Sectional Study.

Ania Wisniak, Lakshmi Krishna Menon, Roxane Dumont, Nick Pullen, Simon Regard, Richard Dubos, María-Eugenia Zaballa, Hélène Baysson, Delphine Courvoisier, Laurent Kaiser and 7 more

Abstract read
In one paragraph

Article in Viruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

17 authors.

Ania WisniakUnit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, 1211 Geneva, Switzerland.
Lakshmi Krishna MenonUnit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, 1211 Geneva, Switzerland.
Roxane DumontUnit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, 1211 Geneva, Switzerland.
Nick PullenUnit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, 1211 Geneva, Switzerland.
Simon RegardDepartment of Security, Population and Health, General Health Directorate, Canton of Geneva, 1211 Geneva, Switzerland.
Richard DubosUnit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, 1211 Geneva, Switzerland.
María-Eugenia ZaballaUnit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, 1211 Geneva, Switzerland.
Hélène BayssonUnit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, 1211 Geneva, Switzerland.
Delphine CourvoisierCare Quality Division, Medical and Quality Directorate, Geneva University Hospitals, 1211 Geneva, Switzerland.ORCID 0000-0002-1956-2607
Laurent KaiserDivision of Laboratory Medicine, Geneva University Hospitals, 1211 Geneva, Switzerland.
Didier PittetDepartment of Medicine, Faculty of Medicine, University of Geneva, 1211 Geneva, Switzerland.
Andrew S AzmanUnit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, 1211 Geneva, Switzerland.
Silvia StringhiniUnit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, 1211 Geneva, Switzerland.
Idris GuessousDepartment of Health and Community Medicine, Faculty of Medicine, University of Geneva, 1211 Geneva, Switzerland.
Jean-François BalavoineDepartment of Medicine, Faculty of Medicine, University of Geneva, 1211 Geneva, Switzerland.
Omar KheradDepartment of Medicine, Faculty of Medicine, University of Geneva, 1211 Geneva, Switzerland.ORCID 0000-0002-6003-0776
The SEROCoV-Work Study Group

Funding

Center for Emerging Viral Diseases NAFondation des Grangettes NAPrivate Foundation of the Geneva University Hospitals NA
6 · The paper itself

Abstract

The burden of COVID-19 has disproportionately impacted the elderly, who are at increased risk of severe disease, hospitalization, and death. This cross-sectional study aimed to assess the association between SARS-CoV-2 seroprevalence among nursing home staff, and cumulative incidence rates of COVID-19 cases, hospitalizations, and deaths among residents. Staff seroprevalence was estimated within the SEROCoV-WORK+ study between May and September 2020 across 29 nursing homes in Geneva, Switzerland. Data on nursing home residents were obtained from the canton of Geneva for the period between March and August 2020. Associations were assessed using Spearman's correlation coefficient and quasi-Poisson regression models. Overall, seroprevalence among staff ranged between 0 and 31.4%, with a median of 8.3%. A positive association was found between staff seroprevalence and resident cumulative incidence of COVID-19 cases (correlation coefficient R = 0.72, 95%CI 0.45-0.87; incidence rate ratio [IRR] = 1.10, 95%CI 1.07-1.17), hospitalizations (R = 0.59, 95%CI 0.25-0.80; IRR = 1.09, 95%CI 1.05-1.13), and deaths (R = 0.71, 95%CI 0.44-0.86; IRR = 1.12, 95%CI 1.07-1.18). Our results suggest that SARS-CoV-2 transmission between staff and residents may contribute to the spread of the virus within nursing homes. Awareness among nursing home professionals of their likely role in the spread of SARS-CoV-2 has the potential to increase vaccination coverage and prevent unnecessary deaths due to COVID-19.

Indexed as

COVID-19Cross-Sectional StudiesHealth PersonnelHospitalizationHumansIncidenceInfectious Disease Transmission, Professional-to-PatientNursing HomesSARS-CoV-2Seroepidemiologic StudiesSwitzerlandCOVID-19nursing homesSARS-CoV-2seroprevalencetransmissionviral spread

Identifiers

PMID35062247
PMCPMC8779720

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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.