Prevention of SARS-CoV-2 airborne transmission in a workplace based on CO2 sensor network
Prevention of SARS-CoV-2 airborne transmission in a workplace based on CO2 sensor network
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DOI：
10.1101/2022.03.04.22271934
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发表时间：
2022-03
期刊：
影响因子：
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通讯作者：
S. Yokogawa;Y. Ishigaki;H. Kitamura;A. Saito;Y. Kawauchi
中科院分区：
文献类型：
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作者：
S. Yokogawa;Y. Ishigaki;H. Kitamura;A. Saito;Y. Kawauchi
我们使用二氧化碳传感器网络测量了办公室空间的每小时隔室换气量（ACH），该办公室空间发生了归因于气溶胶传播的COVID-19感染集群。采用广义线性混合模型和动态时间规整法对时间序列数据进行分析，结果表明，聚集性疫情发生时通风条件较差，室内空气湿度较低可能是导致疫情发生的原因。此外，不适当的分区和通风改善的有效性的不利影响进行了详细调查。ACH低于2 /h被认为是研究设施中COVID-19集群形成的主要原因。
We measured the compartmental air change per hour (ACH) using a CO2 sensor network in an office space where a cluster of COVID-19 infections attributed to aerosol transmission occurred. Generalized linear mixed models and dynamic time warping were used for a time series data analysis, and the results indicated that the ventilation conditions were poor at the time of the cluster outbreak, and that the low ACH in the room likely contributed to the outbreak. In addition, the adverse effects of inappropriate partitions and the effectiveness of ventilation improvements were investigated in detail. ACH of less than 2 /h was considered a main contributor for the formation of the COVID-19 cluster in the studied facility.