论文标题
增加通风可减少学校的SARS-COV-2机载传播:意大利马尔凯地区的一项回顾性队列研究
Increasing ventilation reduces SARS-CoV-2 airborne transmission in schools: a retrospective cohort study in Italy's Marche region
论文作者
论文摘要
背景:虽然提高通风率是去除可吸入病毒呼吸道颗粒并降低感染风险的重要措施,但在具有人群研究的学校中直接验证远非确定性。 方法:我们调查了意大利马尔凯地区的学生在10,000多个教室中报道的通风和SARS-COV-2传播之间的关联强度,其中316个配备了机械通气。我们使用普通和逻辑回归模型来探索与学生在教室中接触的相对风险。 调查结果:对于配备机械通风系统的教室,随着通风的增加,感染的相对风险降低:通风范围从10到14 L S-1 Student-1降低了学生感染的可能性,而与自然通风仅有的教室相比。从回归分析中,如预测理论方法所证实的那样,我们每人的通风率每增加一个单位的范围为12%-15%的风险降低。 解释:我们需要高通风率(> 10 l s $^{ - 1} $学生$^{ - 1} $)来保护教室中的学生免受机载传播的侵害;这高于确保室内空气质量所需的速率。回顾性队列研究的结果与预测理论方法的结果之间的出色一致性使得可以评估任何室内环境的空气传播风险。
Background: While increasing the ventilation rate is an important measure to remove inhalable virus-laden respiratory particles and lower the risk of infection, direct validation in schools with population-based studies is far from definitive. Methods: We investigated the strength of association between ventilation and SARS-CoV-2 transmission reported among the students of Italy's Marche region in more than 10,000 classrooms, of which 316 were equipped with mechanical ventilation. We used ordinary and logistic regression models to explore the relative risk associated with the exposure of students in classrooms. Findings: For classrooms equipped with mechanical ventilation systems, the relative risk of infection decreased with the increase in ventilation: ventilation ranging from 10 to 14 L s-1 student-1 reduced the likelihood of infection for students by 80% compared with a classroom with only natural ventilation. From the regression analysis, as confirmed by the predictive theoretical approach, we obtained a relative risk reduction in the range 12%-15% for each additional unit of ventilation rate per person. Interpretation: We need high ventilation rates (> 10 L s$^{-1}$ student$^{-1}$) to protect students in classrooms from airborne transmission; this is higher than the rate needed to ensure indoor air quality. The excellent agreement between the results from the retrospective cohort study and the outcomes of the predictive theoretical approach makes it possible to assess the risk of airborne transmission for any indoor environment.