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COVID-19 outbreaks in nursing homes: A strong link with the coronavirus spread in the surrounding population, France, March to July 2020.
Rabilloud, Muriel; Riche, Benjamin; Etard, Jean François; Elsensohn, Mad-Hélénie; Voirin, Nicolas; Bénet, Thomas; Iwaz, Jean; Ecochard, René; Vanhems, Philippe.
  • Rabilloud M; Équipe Biostatistique Santé, Laboratoire de Biométrie et Biologie Évolutive, CNRS UMR 5558, Université Lyon 1, Université de Lyon, Villeurbanne, France.
  • Riche B; Service de Biostatistique-Bioinformatique, Pôle Santé Publique, Hospices Civils de Lyon, Lyon, France.
  • Etard JF; Équipe Biostatistique Santé, Laboratoire de Biométrie et Biologie Évolutive, CNRS UMR 5558, Université Lyon 1, Université de Lyon, Villeurbanne, France.
  • Elsensohn MH; Service de Biostatistique-Bioinformatique, Pôle Santé Publique, Hospices Civils de Lyon, Lyon, France.
  • Voirin N; TransVIHMI, UMI 233 Institut pour la Recherche et le Développement, U 1175, Institut National de la Santé et de la Recherche Médicale, Université de Montpellier, Montpellier, France.
  • Bénet T; EpiGreen, Paris, France.
  • Iwaz J; Équipe Biostatistique Santé, Laboratoire de Biométrie et Biologie Évolutive, CNRS UMR 5558, Université Lyon 1, Université de Lyon, Villeurbanne, France.
  • Ecochard R; Service de Biostatistique-Bioinformatique, Pôle Santé Publique, Hospices Civils de Lyon, Lyon, France.
  • Vanhems P; Epidemiology and Modelling in Infectious Diseases (EPIMOD), Dompierre-sur-Veyle, France.
PLoS One ; 17(1): e0261756, 2022.
Article in English | MEDLINE | ID: covidwho-1613356
ABSTRACT

BACKGROUND:

Worldwide, COVID-19 outbreaks in nursing homes have often been sudden and massive. The study investigated the role SARS-CoV-2 virus spread in nearby population plays in introducing the disease in nursing homes. MATERIAL AND

METHODS:

This was carried out through modelling the occurrences of first cases in each of 943 nursing homes of Auvergne-Rhône-Alpes French Region over the first epidemic wave (March-July, 2020). The cumulative probabilities of COVID-19 outbreak in the nursing homes and those of hospitalization for the disease in the population were modelled in each of the twelve Départements of the Region over period March-July 2020. This allowed estimating the duration of the active outbreak period, the dates and heights of the peaks of outbreak probabilities in nursing homes, and the dates and heights of the peaks of hospitalization probabilities in the population. Spearman coefficient estimated the correlation between the two peak series.

RESULTS:

The cumulative proportion of nursing homes with COVID-19 outbreaks was 52% (490/943; range 22-70% acc. Département). The active outbreak period in the nursing homes lasted 11 to 21 days (acc. Département) and ended before lockdown end. Spearman correlation between outbreak probability peaks in nursing homes and hospitalization probability peaks in the population (surrogate of the incidence peaks) was estimated at 0.71 (95% CI [0.66; 0.78]).

CONCLUSION:

The modelling highlighted a strong correlation between the outbreak in nursing homes and the external pressure of the disease. It indicated that avoiding disease outbreaks in nursing homes requires a tight control of virus spread in the surrounding populations.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Nursing Homes Type of study: Observational study Limits: Humans Country/Region as subject: Europa Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2022 Document Type: Article Affiliation country: Journal.pone.0261756

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Nursing Homes Type of study: Observational study Limits: Humans Country/Region as subject: Europa Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2022 Document Type: Article Affiliation country: Journal.pone.0261756