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由于监测到的二氧化碳变化推断出的学校通风引起的空气传播感染风险的季节性变化。

Seasonal variation in airborne infection risk in schools due to changes in ventilation inferred from monitored carbon dioxide.

机构信息

Department of Civil and Environmental Engineering, Imperial College London, London, UK.

School of Civil Engineering, Woodhouse Lane, University of Leeds, Leeds, UK.

出版信息

Indoor Air. 2021 Jul;31(4):1154-1163. doi: 10.1111/ina.12818. Epub 2021 Mar 8.

DOI:10.1111/ina.12818
PMID:33682974
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8251097/
Abstract

The year 2020 has seen the world gripped by the effects of the COVID-19 pandemic. It is not the first time, nor will it be last, that our increasingly globalized world has been significantly affected by the emergence of a new disease. In much of the Northern Hemisphere, the academic year begins in September, and for many countries, September 2020 marked the return to full schooling after some period of enforced closure due to COVID-19. In this paper, we focus on the airborne spread of disease and investigate the likelihood of transmission in school environments. It is crucial to understand the risk airborne infection from COVID-19 might pose to pupils, teachers, and their wider social groups. We use monitored CO data from 45 classrooms in 11 different schools from within the UK to estimate the likelihood of infection occurring within classrooms regularly attended by the same staff and pupils. We determine estimates of the number of secondary infections arising via the airborne route over pre/asymptomatic periods on a rolling basis. Results show that, assuming relatively quiet desk-based work, the number of secondary infections is likely to remain reassuringly below unity; however, it can vary widely between classrooms of the same school even when the same ventilation system is present. Crucially, the data highlight significant variation with the seasons with January being nearly twice as risky as July. We show that such seasonal variations in risk due to changes in ventilation rates are robust and our results hold for wide variations in disease parameterizations, suggesting our results may be applied to a number of different airborne diseases.

摘要

2020 年,全球受到 COVID-19 大流行的影响。这不是第一次,也不会是最后一次,我们日益全球化的世界因新疾病的出现而受到重大影响。在北半球的大部分地区,学年从 9 月开始,对于许多国家来说,2020 年 9 月标志着在 COVID-19 导致的一段时间强制关闭后,全面复课。在本文中,我们重点研究疾病的空气传播,并调查在学校环境中传播的可能性。了解 COVID-19 空气传播感染对学生、教师及其更广泛的社交群体构成的风险至关重要。我们使用来自英国 11 所不同学校的 45 间教室的监测 CO 数据来估算经常有相同教职员工和学生上课的教室中发生感染的可能性。我们定期滚动估算通过空气传播途径在无症状期前/期间产生的继发感染数量。结果表明,假设相对安静的基于桌面的工作,继发感染的数量可能仍然令人放心地低于 1;但是,即使存在相同的通风系统,同一所学校的教室之间也可能有很大差异。至关重要的是,数据突出显示了与通风率变化相关的季节性差异,1 月的风险几乎是 7 月的两倍。我们表明,由于通风率的变化而导致的这种季节性风险变化是稳健的,并且我们的结果适用于广泛的疾病参数化变化,这表明我们的结果可应用于许多不同的空气传播疾病。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b897/8251097/6f746f4f4fcb/INA-31-1154-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b897/8251097/a95ce35ef7c1/INA-31-1154-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b897/8251097/75525be252fa/INA-31-1154-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b897/8251097/6f746f4f4fcb/INA-31-1154-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b897/8251097/a95ce35ef7c1/INA-31-1154-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b897/8251097/75525be252fa/INA-31-1154-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b897/8251097/6f746f4f4fcb/INA-31-1154-g003.jpg

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