Hermann-Rietschel-Institut, Technical University of Berlin, 10623 Berlin, Germany.
Department for Infectious Disease Epidemiology, Robert Koch Institute, 13353 Berlin, Germany.
Int J Environ Res Public Health. 2021 Dec 25;19(1):220. doi: 10.3390/ijerph19010220.
There is uncertainty about the viral loads of infectious individuals required to transmit COVID-19 via aerosol. In addition, there is a lack of both quantification of the influencing parameters on airborne transmission and simple-to-use models for assessing the risk of infection in practice, which furthermore quantify the influence of non-medical preventive measures. In this study, a dose-response model was adopted to analyze 25 documented outbreaks at infection rates of 4-100%. We show that infection was only possible if the viral load was higher than 10 viral copies/mL. Based on mathematical simplifications of our approach to predict the probable situational attack rate (PARs) of a group of persons in a room, and valid assumptions, we provide simplified equations to calculate, among others, the maximum possible number of persons and the person-related virus-free air supply flow necessary to keep the number of newly infected persons to less than one. A comparison of different preventive measures revealed that testing contributes the most to the joint protective effect, besides wearing masks and increasing ventilation. In addition, we conclude that absolute volume flow rate or person-related volume flow rate are more intuitive parameters for evaluating ventilation for infection prevention than air exchange rate.
关于通过气溶胶传播 COVID-19 所需的传染性个体的病毒载量存在不确定性。此外,对于影响空气传播的参数的定量分析以及用于评估实践中感染风险的简单模型都缺乏研究,这些模型还定量评估了非医疗预防措施的影响。在这项研究中,我们采用剂量反应模型来分析 25 起感染率为 4-100%的有记录的暴发事件。我们表明,只有当病毒载量高于 10 个病毒拷贝/mL 时才会发生感染。基于对我们的方法进行数学简化,以预测一组人在一个房间中的可能情况攻击率 (PARs),并进行有效的假设,我们提供了简化的方程来计算,除其他外,最大可能的人数和与人员相关的无病毒空气供应流量,以将新感染人数保持在一人以下。不同预防措施的比较表明,除了戴口罩和增加通风外,检测对联合保护效果的贡献最大。此外,我们得出结论,绝对体积流量或与人相关的体积流量是用于评估通风以预防感染的更直观的参数,而不是空气交换率。