Rayegan Saeed, Shu Chang, Berquist Justin, Jeon Jisoo, Zhou Liang Grace, Wang Liangzhu Leon, Mbareche Hamza, Tardif Patrique, Ge Hua
Centre for Zero Energy Building Studies, Department of Building, Civil and Environmental Engineering, Concordia University, 1455 de Maisonneuve Blvd. West, Montreal, Quebec, H3G 1M8, Canada.
Construction Research Centre, National Research Council Canada, M-24, 1200 Montreal Road, Ottawa, Ontario, K1A 0R6, Canada.
J Build Eng. 2023 Apr 1;64:105599. doi: 10.1016/j.jobe.2022.105599. Epub 2022 Nov 26.
In the past few years, significant efforts have been made to investigate the transmission of COVID-19. This paper provides a review of the COVID-19 airborne transmission modeling and mitigation strategies. The simulation models here are classified into airborne transmission infectious risk models and numerical approaches for spatiotemporal airborne transmissions. Mathematical descriptions and assumptions on which these models have been based are discussed. Input data used in previous simulation studies to assess the dispersion of COVID-19 are extracted and reported. Moreover, measurements performed to study the COVID-19 airborne transmission within indoor environments are introduced to support validations for anticipated future modeling studies. Transmission mitigation strategies recommended in recent studies have been classified to include modifying occupancy and ventilation operations, using filters and air purifiers, installing ultraviolet (UV) air disinfection systems, and personal protection compliance, such as wearing masks and social distancing. The application of mitigation strategies to various building types, such as educational, office, public, residential, and hospital, is reviewed. Recommendations for future works are also discussed based on the current apparent knowledge gaps covering both modeling and mitigation approaches. Our findings show that different transmission mitigation measures were recommended for various indoor environments; however, there is no conclusive work reporting their combined effects on the level of mitigation that may be achieved. Moreover, further studies should be conducted to understand better the balance between approaches to mitigating the viral transmissions in buildings and building energy consumption.
在过去几年中,人们为研究新冠病毒的传播付出了巨大努力。本文对新冠病毒空气传播建模及缓解策略进行了综述。这里的模拟模型分为空气传播感染风险模型和时空空气传播的数值方法。讨论了这些模型所基于的数学描述和假设。提取并报告了先前模拟研究中用于评估新冠病毒传播扩散的输入数据。此外,还介绍了为研究室内环境中新冠病毒空气传播而进行的测量,以支持对未来预期建模研究的验证。近期研究中推荐的传播缓解策略已分类,包括改变人员占用和通风操作、使用过滤器和空气净化器、安装紫外线(UV)空气消毒系统以及个人防护措施的落实,如佩戴口罩和保持社交距离。综述了缓解策略在各类建筑类型中的应用,如教育建筑、办公建筑、公共建筑、住宅建筑和医院建筑。还基于当前在建模和缓解方法方面明显的知识差距,讨论了对未来工作的建议。我们的研究结果表明,针对不同的室内环境推荐了不同的传播缓解措施;然而,尚无确凿的研究报告它们对可实现的缓解程度的综合影响。此外,应进一步开展研究,以更好地理解建筑物中病毒传播缓解方法与建筑能耗之间的平衡。