Keyword search (4,163 papers available)

"Wang LL" Authored Publications:

Title Authors PubMed ID
1 A review on indoor airborne transmission of COVID-19- modelling and mitigation approaches Rayegan S; Shu C; Berquist J; Jeon J; Zhou LG; Wang LL; Mbareche H; Tardif P; Ge H; 40478135
ENCS
2 Author Correction: Typical and extreme weather datasets for studying the resilience of buildings to climate change and heatwaves Machard A; Salvati A; P Tootkaboni M; Gaur A; Zou J; Wang LL; Baba F; Ge H; Bre F; Bozonnet E; Corrado V; Luo X; Levinson R; Lee SH; Hong T; Salles Olinger M; Machado RMES; da Guarda ELA; Veiga RK; Lamberts R; Afshari A; Ramon D; Ngoc Dung Ngo H; Sengupta A; Breesch H; Heijmans N; Deltour J; Kuborn X; Sayadi S; Qian B; Zhang C; Rahif R; Attia S; Stern P; Holzer P; 39814748
PHYSICS
3 Typical and extreme weather datasets for studying the resilience of buildings to climate change and heatwaves Machard A; Salvati A; P Tootkaboni M; Gaur A; Zou J; Wang LL; Baba F; Ge H; Bre F; Bozonnet E; Corrado V; Luo X; Levinson R; Lee SH; Hong T; Salles Olinger M; Machado RMES; da Guarda ELA; Veiga RK; Lamberts R; Afshari A; Ramon D; Ngoc Dung Ngo H; Sengupta A; Breesch H; Heijmans N; Deltour J; Kuborn X; Sayadi S; Qian B; Zhang C; Rahif R; Attia S; Stern P; Holzer P; 38782916
PHYSICS
4 Development of a Bayesian inference model for assessing ventilation condition based on CO2 meters in primary schools Hou D; Wang LL; Katal A; Yan S; Zhou LG; Wang V; Vuotari M; Li E; Xie Z; 36035815
ENCS
5 Evaluating SARS-CoV-2 airborne quanta transmission and exposure risk in a mechanically ventilated multizone office building Yan S; Wang LL; Birnkrant MJ; Zhai J; Miller SL; 35602249
ENCS
6 Indoor thermal stratification and its statistical distribution. Wang LL, Zhang X, Qi D 30427070
ENCS

 

Title:A review on indoor airborne transmission of COVID-19- modelling and mitigation approaches
Authors:Rayegan SShu CBerquist JJeon JZhou LGWang LLMbareche HTardif PGe H
Link:https://pubmed.ncbi.nlm.nih.gov/40478135/
DOI:10.1016/j.jobe.2022.105599
Publication:Journal of building engineering
Keywords:AirborneBuildingCOVID-19MitigationModelingTransmission
PMID:40478135 Category: Date Added:2025-06-06
Dept Affiliation: ENCS
1 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.
2 Construction Research Centre, National Research Council Canada, M-24, 1200 Montreal Road, Ottawa, Ontario, K1A 0R6, Canada.

Description:

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.





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