Liu Zhijian, Yao Guangpeng, Li Yabin, Huang Zhenzhe, Jiang Chuan, He Junzhou, Wu Minnan, Liu Jia, Liu Haiyang
Department of Power Engineering, North China Electric Power University, Baoding, Hebei, 071003, PR China.
The Fifth Medical Center of PLA General Hospital, Beijing, 100039, China.
Build Environ. 2022 Nov;225:109624. doi: 10.1016/j.buildenv.2022.109624. Epub 2022 Sep 22.
Dental clinics have a potential risk of infection, particularly during the COVID-19 pandemic. Multi-compartment dental clinics are widely used in general hospitals and independent clinics. This study utilised computational fluid dynamics to investigate the bioaerosol distribution characteristics in a multi-compartment dental clinic through spatiotemporal distribution, working area time-varying concentrations, and key surface deposition. The infection probability of SARS-CoV-2 for the dental staff and patients was calculated using the Wells-Riley model. In addition, the accuracy of the numerical model was verified by field measurements of aerosol concentrations performed during a clinical ultrasonic scaling procedure. The results showed that bioaerosols were mainly distributed in the compartments where the patients were treated. The average infection probability was 3.8% for dental staff. The average deposition number per unit area of the treatment chair and table are 28729 pcs/m and 7945 pcs/m, respectively, which creates a possible contact transmission risk. Moreover, there was a certain cross-infection risk in adjacent compartments, and the average infection probability for patients was 0.84%. The bioaerosol concentrations of the working area in each compartment 30 min post-treatment were reduced to 0.07% of those during treatment, and the infection probability was <0.05%. The results will contribute to an in-depth understanding of the infection risk in multi-compartment dental clinics, forming feasible suggestions for management to efficiently support epidemic prevention and control in dental clinics.
牙科诊所存在感染的潜在风险,尤其是在新冠疫情期间。多科室牙科诊所在综合医院和独立诊所中广泛使用。本研究利用计算流体动力学,通过时空分布、工作区域随时间变化的浓度以及关键表面沉积,来研究多科室牙科诊所中的生物气溶胶分布特征。使用威尔斯-莱利模型计算了牙科工作人员和患者感染新冠病毒的概率。此外,通过在临床超声洁牙过程中对气溶胶浓度进行现场测量,验证了数值模型的准确性。结果表明,生物气溶胶主要分布在治疗患者的科室。牙科工作人员的平均感染概率为3.8%。治疗椅和治疗台的单位面积平均沉积数分别为28729个/平方米和7945个/平方米,这带来了可能的接触传播风险。此外,相邻科室存在一定的交叉感染风险,患者的平均感染概率为0.84%。治疗后30分钟,每个科室工作区域的生物气溶胶浓度降至治疗期间的0.07%,感染概率<0.05%。这些结果将有助于深入了解多科室牙科诊所的感染风险,形成可行的管理建议,以有效支持牙科诊所的疫情防控工作。