Department of Environmental, Occupational, and Geospatial Health Sciences, CUNY Graduate School of Public Health and Health Policy, New York, NY, USA.
Department of Environmental, Occupational, and Geospatial Health Sciences, CUNY Graduate School of Public Health and Health Policy, New York, NY, USA; Cardno ChemRisk, Brooklyn, NY, USA.
Environ Res. 2021 Apr;195:110805. doi: 10.1016/j.envres.2021.110805. Epub 2021 Jan 26.
The objective of this study was to estimate the risk of SARS-CoV-2 transmission among students and teachers in New York City public schools, the largest school system in the US. Classroom measurements conducted from December 2017 to September 2018 were used to estimate risk of SARS-CoV-2 transmission using a modified Wells-Riley equation under a steady-state conditions and varying exposure scenarios (infectious student versus teacher, susceptible student versus teacher, with and without masks). We then used multivariable linear regression with GEE to identify school and classroom factors that impact transmission risk. Overall, 101 classrooms in 19 schools were assessed, 86 during the heating season, 69 during cooling season, and 54 during both. The mean probability of transmission was generally low but varied by scenario (range: 0.0015-0.81). Transmission rates were higher during the heating season (beta=0.108, p=0.010), in schools in higher income neighborhoods (>80K versus 20K-40K beta=0.196, p<0.001) and newer buildings (<50 years beta=0.237, p=<0.001; 50-99 years beta=0.230, p=0.013 versus 100+ years) and lower in schools with mechanical ventilation (beta=0.141, p=0.057). Surprisingly, schools located in older buildings and lower-income neighborhoods had lower transmission probabilities, likely due to the greater outdoor airflow associated with an older, non-renovated buildings that allow air to leak in (i.e. drafty buildings). Despite the generally low risk of school-based transmission found in this study, with SARS-CoV-2 prevalence rising in New York City this risk will increase and additional mitigation steps should be implemented in schools now.
这项研究的目的是估计美国最大的学校系统——纽约市公立学校中,学生和教师之间 SARS-CoV-2 传播的风险。使用 2017 年 12 月至 2018 年 9 月进行的课堂测量数据,根据稳态条件和不同的暴露情景(感染学生与教师、易感学生与教师、戴口罩与不戴口罩),使用修正后的 Wells-Riley 方程来估计 SARS-CoV-2 传播的风险。然后,我们使用广义估计方程(GEE)的多变量线性回归来确定影响传播风险的学校和课堂因素。总体而言,19 所学校的 101 个教室接受了评估,86 个在供暖季,69 个在制冷季,54 个在两个季节都有。总的来说,传播的概率通常较低,但因情景而异(范围:0.0015-0.81)。在供暖季节,传播率较高(β=0.108,p=0.010),在收入较高的社区(>80K 与 20K-40K,β=0.196,p<0.001)和较新的建筑(<50 年β=0.237,p=<0.001;50-99 年β=0.230,p=0.013 与 100 年以上β=0.230,p=0.013)以及机械通风的学校中,传播率较低(β=0.141,p=0.057)。令人惊讶的是,位于旧建筑和低收入社区的学校的传播概率较低,这可能是由于与旧的、未翻新的建筑相关的更大的室外气流允许空气泄漏(即通风不良的建筑)。尽管在这项研究中发现学校内传播的风险通常较低,但随着 SARS-CoV-2 在纽约市的流行率上升,这种风险将会增加,现在应该在学校采取额外的缓解措施。