Assessment of SARS-CoV-2 airborne infection transmission risk in public buses

作     者：M.Bertone A.Mikszewski L.Stabile G.Riccio G.Cortellessa F.R.d'Ambrosio V.Papa L.Morawska G.Buonanno M.Bertone;A.Mikszewski;L.Stabile;G.Riccio;G.Cortellessa;F.R.d'Ambrosio;V.Papa;L.Morawska;G.Buonanno

作者机构：Department of Civil and Mechanical EngineeringUniversity of Cassino and Southern LazioCassinoFRItaly CIUS Building Performance LabThe City University of New YorkNew YorkNYUSA International Laboratory for Air Quality and HealthQueensland University of TechnologyBrisbaneQueenslandAustralia Department of Industrial EngineeringUniversity of Naples“Federico II”Italy Department of Industrial EngineeringUniversity of SalernoItaly Department of Motor Sciences and WellnessUniversity of Naples“Parthenope”Italy 

出 版 物：《Geoscience Frontiers》 (地学前缘（英文版）)

年 卷 期：2022年第13卷第6期

页      面：224-235页

核心收录：

学科分类：1004[医学-公共卫生与预防医学(可授医学、理学学位)] 0708[理学-地球物理学] 100401[医学-流行病与卫生统计学] 10[医学] 

主　　题：SARS-CoV-2 Airborne transmission Bus Transport microenvironment Maximum occupancy Air exchange rate 

摘      要：Public transport environments are thought to play a key role in the spread of SARS-CoV-2 ***,high crowding indexes(*** numbers of people relative to the vehicle size),inadequate clean air supply,and frequent extended exposure durations make transport environments potential hotspots for transmission of respiratory *** the COVID-19 pandemic,generic mitigation measures(*** distancing)have been applied without also considering the airborne transmission *** is due to the lack of quantified data about airborne contagion risk in transport *** this study,we apply a novel combination of close proximity and room-scale risk assessment approaches for people sharing public transport environments to predict their contagion risk due to SARS-CoV-2 respiratory *** particular,the individual infection risk of susceptible subjects and the transmissibility of SARS-CoV-2(expressed through the reproduction number)are evaluated for two types of buses,differing in terms of exposure time and crowding index:urban and long-distance *** risk and reproduction number are calculated for different scenarios as a function of the ventilation rates(both measured and estimated according to standards),crowding indexes,and travel *** results show that for urban buses,the close proximity contribution significantly affects the maximum occupancy to maintain a reproductive number of