...
首页> 外文期刊>Environmental research >Estimating aerosol transmission risk of SARS-CoV-2 in New York City public schools during reopening
【24h】

Estimating aerosol transmission risk of SARS-CoV-2 in New York City public schools during reopening

机译:在重新开放期间估算纽约市公立学校SARS-COV-2的气溶胶传输风险

获取原文
获取原文并翻译 | 示例

摘要

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.
机译:本研究的目的是估计纽约市公立学校的学生和教师的SARS-COV-2传播的风险,是美国最大的学校系统。从2017年12月到2018年9月进行的教室测量用于估算SARS-COV-2传输的风险,在稳态条件下使用改进的井 - 莱利方程和不同的曝光情景(传染性学生与老师,易感学生与老师而言没有面具)。然后,我们使用与Gee的多变量线性回归识别影响传输风险的学校和课堂因素。总体而言,19所学校的101名教室被评估,86季,在加热季期间,在冷却季节69期间,两者均为54。传输的平均概率通常很低,但方案变化(范围:0.0015-0.81)。在加热季节(Beta = 0.108,P = 0.010)中,在较高收入街区的学校(> 80K与20K-40Kβ= 0.196,P <0.001)和更新建筑物(<50年Beta = 0.237, P = <0.001; 50-99岁,β= 0.230,P = 0.013与100多年),机械通风的学校(Beta = 0.141,P = 0.057)。令人惊讶的是,位于老房建筑和低收入社区的学校具有较低的传输概率,可能由于与较旧的非翻新建筑物相关的户外气流,允许空气泄漏(即Drafty建筑物)。尽管本研究中发现的基于学校传输风险普遍存在,但在纽约市的SARS-COV-2流行上升,这种风险将增加,现在应在学校实施额外的缓解步骤。

著录项

  • 来源
    《Environmental research 》 |2021年第4期| 110805.1-110805.9| 共9页
  • 作者单位

    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;

    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;

    Department of Epidemiology and Biostatistics CUNY Graduate School of Public Health and Health Policy New York NY USA CUNY Institute for Implementation Science in Population Health City University of New York New York NY USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    COVID-19; Respiratory virus; Droplet; Children; Wells-Riley equation;

    机译:新冠肺炎;呼吸道病毒;水滴;孩子们;Wells-Riley方程式;
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号