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在奥地利、卢森堡和瑞典建立模型以分析 COVID-19 动力学和疫苗接种带来的群体免疫潜力。

Modelling COVID-19 dynamics and potential for herd immunity by vaccination in Austria, Luxembourg and Sweden.

机构信息

University of Luxembourg, Luxembourg Centre for Systems Biomedicine, 6 Av. du Swing, 4367 Belvaux, Luxembourg.

University of Ghent, Department of Applied Mathematics, Computer Science and Statistics, Krijgslaan 281-S9, 9000 Ghent, Belgium.

出版信息

J Theor Biol. 2021 Dec 7;530:110874. doi: 10.1016/j.jtbi.2021.110874. Epub 2021 Aug 21.

Abstract

Against the COVID-19 pandemic, non-pharmaceutical interventions have been widely applied and vaccinations have taken off. The upcoming question is how the interplay between vaccinations and social measures will shape infections and hospitalizations. Hence, we extend the Susceptible-Exposed-Infectious-Removed (SEIR) model including these elements. We calibrate it to data of Luxembourg, Austria and Sweden until 15 December 2020. Sweden results having the highest fraction of undetected, Luxembourg of infected and all three being far from herd immunity in December. We quantify the level of social interaction, showing that a level around 1/3 of before the pandemic was still required in December to keep the effective reproduction number Rt below 1, for all three countries. Aiming to vaccinate the whole population within 1 year at constant rate would require on average 1,700 fully vaccinated people/day in Luxembourg, 24,000 in Austria and 28,000 in Sweden, and could lead to herd immunity only by mid summer. Herd immunity might not be reached in 2021 if too slow vaccines rollout speeds are employed. The model thus estimates which vaccination rates are too low to allow reaching herd immunity in 2021, depending on social interactions. Vaccination will considerably, but not immediately, help to curb the infection; thus limiting social interactions remains crucial for the months to come.

摘要

在应对新冠疫情时,非药物干预措施已被广泛应用,疫苗接种也已启动。接下来的问题是,疫苗接种和社会措施之间的相互作用将如何影响感染和住院情况。因此,我们扩展了包含这些因素的易感染者-暴露者-感染者-移除者(Susceptible-Exposed-Infectious-Removed,SEIR)模型。我们根据截至 2020 年 12 月 15 日卢森堡、奥地利和瑞典的数据对模型进行了校准。瑞典的数据中未被检测到的病例比例最高,卢森堡的感染病例比例最高,所有三个国家在 12 月都远未达到群体免疫。我们量化了社交互动的水平,结果表明,在所有三个国家中,12 月仍需要保持社交互动水平约为大流行前的 1/3,才能使有效繁殖数 Rt 保持在 1 以下。以固定速度在一年内为所有人接种疫苗,平均每天在卢森堡需要 1700 名完全接种疫苗的人,在奥地利需要 24000 人,在瑞典需要 28000 人,并且要到仲夏才能实现群体免疫。如果疫苗接种速度太慢,2021 年可能无法达到群体免疫。因此,该模型估计了在社交互动的影响下,哪些疫苗接种率过低,无法在 2021 年实现群体免疫。疫苗接种将大大有助于遏制感染,但不会立即生效;因此,在未来几个月,限制社交互动仍然至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eba3/8378986/d6b0a8e40dc5/gr1_lrg.jpg

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