Li Chunying, Tang Haida
School of Architecture and Urban Planning, Shenzhen University, Shenzhen, China.
J Build Eng. 2021 Oct;42:103090. doi: 10.1016/j.jobe.2021.103090. Epub 2021 Aug 10.
A modified Wells-Riley model combining the airborne route and close contact route was proposed to predict the infection risks of coronavirus disease 2019 (COVID-19) in main functional spaces of an outpatient building in Shenzhen, China. The personnel densities and ventilation rates in the 20 waiting rooms, outpatient hall and hospital street were on-site measured. The average fresh air volume per person and occupant area per person in the 20 waiting rooms were 77.6 m/h and 6.47 m/per, satisfied with the Chinese standard. The average waiting time of the occupants was 0.69 h. Thus, assuming the proportion of infected people in the outpatient building was 2%, the daily average infection probabilities of COVID-19 in the 20 waiting rooms were 0.19-1.88% with a reasonable setting of the quanta produced by an infector ( = 45 quanta/h) and the effective exposure dose of pathogen per unit close contact time ( = 0.05 h). The design of the semi-closed hospital street with a height of 24 m improved its natural ventilation with a fresh air volume per person of 70-185 m/h and further dilute the viral aerosol and decreased the infection risk to a negligible level (i.e., below 0.04% with an infector proportion of 2%). The assessment method provides real-time prediction of indoor infection risk and good assist in spread control of COVID-19.
提出了一种结合空气传播途径和密切接触途径的改进型Wells-Riley模型,以预测中国深圳某门诊楼主要功能空间中2019冠状病毒病(COVID-19)的感染风险。对20间候诊室、门诊大厅和医院街道的人员密度和通风率进行了现场测量。20间候诊室人均新鲜空气量和人均占用面积分别为77.6立方米/小时和6.47平方米/人,符合中国标准。就诊者平均等待时间为0.69小时。因此,假设门诊楼内感染者比例为2%,在合理设定感染者产生的量子数(=45量子/小时)和单位密切接触时间内病原体的有效暴露剂量(=0.05小时)的情况下,20间候诊室中COVID-19的日均感染概率为0.19%-1.88%。高度为24米的半封闭医院街道设计改善了自然通风,人均新鲜空气量为70-185立方米/小时,进一步稀释了病毒气溶胶,将感染风险降低到可忽略不计的水平(即感染者比例为2%时低于0.04%)。该评估方法可实时预测室内感染风险,对COVID-19的传播控制有很好的辅助作用。