Équipe Biostatistique Santé, Laboratoire de Biométrie et Biologie Évolutive, CNRS UMR 5558, Université Lyon 1, Université de Lyon, Villeurbanne, France.
Service de Biostatistique-Bioinformatique, Pôle Santé Publique, Hospices Civils de Lyon, Lyon, France.
PLoS One. 2022 Jan 7;17(1):e0261756. doi: 10.1371/journal.pone.0261756. eCollection 2022.
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.
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.
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]).
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.
在全球范围内,养老院的 COVID-19 疫情爆发通常是突然且大规模的。本研究调查了 SARS-CoV-2 病毒在附近人群中的传播在将疾病引入养老院方面所起的作用。
这是通过对奥弗涅-罗讷-阿尔卑斯大区(Auvergne-Rhône-Alpes)法国地区 943 家养老院在第一波疫情(2020 年 3 月至 7 月)中首次出现病例的情况进行建模来实现的。对该地区 12 个省(Département)在 2020 年 3 月至 7 月期间的疫情爆发概率和该地区人口中 COVID-19 住院概率进行建模。这使得可以估计活跃疫情爆发期的持续时间、养老院疫情爆发概率峰值的日期和高度,以及人口中 COVID-19 住院概率峰值的日期和高度。Spearman 系数估计了两个峰值系列之间的相关性。
养老院 COVID-19 爆发的累积比例为 52%(490/943;范围:22-70%,依省而定)。养老院的活跃疫情爆发期持续 11 至 21 天(依省而定),且在封锁结束前结束。养老院疫情爆发概率峰值和人口 COVID-19 住院概率峰值(发病率峰值的替代指标)之间的 Spearman 相关系数估计为 0.71(95%置信区间:[0.66;0.78])。
建模突出了养老院疫情爆发与外部疾病压力之间的强相关性。它表明,要避免养老院的疫情爆发,需要对周围人群中病毒的传播进行严格控制。