Analysing different exposures identifies that wearing masks and establishing COVID-19 areas reduce secondary-attack risk in aged-care facilities.

COVID-19 aged-care facilities generalized linear mixed models mask wearing secondary-attack risk

Journal

International journal of epidemiology
ISSN: 1464-3685
Titre abrégé: Int J Epidemiol
Pays: England
ID NLM: 7802871

Informations de publication

Date de publication:
06 01 2022
Historique:
received: 04 12 2020
accepted: 23 05 2021
entrez: 9 1 2022
pubmed: 10 1 2022
medline: 13 1 2022
Statut: ppublish

Résumé

The COVID-19 epidemic has spread rapidly within aged-care facilities (ACFs), where the infection-fatality ratio is high. It is therefore urgent to evaluate the efficiency of infection prevention and control (IPC) measures in reducing SARS-CoV-2 transmission. We analysed the COVID-19 outbreaks that took place between March and May 2020 in 12 ACFs using reverse transcription-polymerase chain reaction (RT-PCR) and serological tests for SARS-CoV-2 infection. Using maximum-likelihood approaches and generalized linear mixed models, we analysed the proportion of infected residents in ACFs and identified covariates associated with the proportion of infected residents. The secondary-attack risk was estimated at 4.1%, suggesting a high efficiency of the IPC measures implemented in the region. Mask wearing and the establishment of COVID-19 zones for infected residents were the two main covariates associated with lower secondary-attack risks. Wearing masks and isolating potentially infected residents appear to be associated with a more limited spread of SARS-CoV-2 in ACFs.

Sections du résumé

BACKGROUND
The COVID-19 epidemic has spread rapidly within aged-care facilities (ACFs), where the infection-fatality ratio is high. It is therefore urgent to evaluate the efficiency of infection prevention and control (IPC) measures in reducing SARS-CoV-2 transmission.
METHODS
We analysed the COVID-19 outbreaks that took place between March and May 2020 in 12 ACFs using reverse transcription-polymerase chain reaction (RT-PCR) and serological tests for SARS-CoV-2 infection. Using maximum-likelihood approaches and generalized linear mixed models, we analysed the proportion of infected residents in ACFs and identified covariates associated with the proportion of infected residents.
RESULTS
The secondary-attack risk was estimated at 4.1%, suggesting a high efficiency of the IPC measures implemented in the region. Mask wearing and the establishment of COVID-19 zones for infected residents were the two main covariates associated with lower secondary-attack risks.
CONCLUSIONS
Wearing masks and isolating potentially infected residents appear to be associated with a more limited spread of SARS-CoV-2 in ACFs.

Identifiants

pubmed: 34999872
pii: 6499388
doi: 10.1093/ije/dyab121
pmc: PMC8344874
doi:
pii:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1788-1794

Commentaires et corrections

Type : ErratumIn

Informations de copyright

© The Author(s) 2021; all rights reserved. Published by Oxford University Press on behalf of the International Epidemiological Association.

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Auteurs

Bastien Reyné (B)

Maladies Infectieuses et Vecteurs: Écologie Génétique Évolution Contrôle (MIVEGEC), Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD), Université de Montpellier, France.

Christian Selinger (C)

Maladies Infectieuses et Vecteurs: Écologie Génétique Évolution Contrôle (MIVEGEC), Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD), Université de Montpellier, France.

Mircea T Sofonea (MT)

Maladies Infectieuses et Vecteurs: Écologie Génétique Évolution Contrôle (MIVEGEC), Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD), Université de Montpellier, France.

Stéphanie Miot (S)

Department of Geriatrics, Montpellier University Hospital, Montpellier University, France.

Amandine Pisoni (A)

Pathogenesis & Control of Chronic Infections, Institut National de la Santé et de la Recherche Médicale (INSERM), U1058, Établissement Français du Sang (EFS), Montpellier University and Laboratory of Virology, Centre Hospitalier Universitaire de Montpellier, France.

Edouard Tuaillon (E)

Pathogenesis & Control of Chronic Infections, Institut National de la Santé et de la Recherche Médicale (INSERM), U1058, Établissement Français du Sang (EFS), Montpellier University and Laboratory of Virology, Centre Hospitalier Universitaire de Montpellier, France.

Jean Bousquet (J)

Charité, Universitätsmedizin Berlin, Humboldt-Universität Berlin, Berlin, Germany.
Department of Dermatology and Allergy, Berlin Institute of Health, Comprehensive Allergy Center, Berlin, Germany.
Combattre les Maladies Chroniques Pour un Vieillissement Actif (MACVIA)-France, Montpellier, France.

Hubert Blain (H)

Department of Geriatrics, Montpellier University Hospital, Montpellier University, France.

Samuel Alizon (S)

Maladies Infectieuses et Vecteurs: Écologie Génétique Évolution Contrôle (MIVEGEC), Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD), Université de Montpellier, France.

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Classifications MeSH