AWells-Riley/based COVID-19 infectiousrisk assessment model combining both short rangeandroom scale effects

作     者：Yinshuai Feng Yifan Fan Xiaoyu Luo Jian Ge Yinshuai Feng;Yifan Fan;Xiaoyu Luo;Jian Ge

作者机构：College of Civil Engineering and ArchitectureZhejiang UniversityHangzhouChina Center for Balance ArchitectureZhejiang UniversityHangzhouChina International Research Center for Green Building and Low-Carbon CityInternational CampusZhejiang UniversityHainingChina 

出 版 物：《Building Simulation》 (建筑模拟（英文）)

年 卷 期：2024年第17卷第1期

页      面：93-111页

核心收录：

学科分类：0710[理学-生物学] 1004[医学-公共卫生与预防医学(可授医学、理学学位)] 1002[医学-临床医学] 1001[医学-基础医学(可授医学、理学学位)] 0837[工学-安全科学与工程] 100201[医学-内科学(含：心血管病、血液病、呼吸系病、消化系病、内分泌与代谢病、肾病、风湿病、传染病)] 0714[理学-统计学（可授理学、经济学学位）] 0802[工学-机械工程] 100401[医学-流行病与卫生统计学] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 10[医学] 

基　　金：funding support from National Key R&D Program of China(2018YFE0106100) the Fundamental Research Funds for the Central Universities(K20220163) 

主　　题：COVID-19 airborne transmission infection risk Wells-Riley model Monte Carlo simulation 

摘      要：There is growing evidence of the high transmission potential of COVID-19 through virus-laden *** aerosols are inhaled in various concentrations,an overall assessment of transmission risks at different indoor scales is ***,a comprehensive risk assessment method that evaluates the direct link between short-range and room-scale zones is stl *** this paper,a risk assessment model combining both short-range and room-scale effects is developed to obtain effective reproduction number in confined indoor environments,called Turbulent Jet Wells Riley(TJWR)*** with the viral load data and aerosol generation data of different human respiratory activities,the Monte Carlo simulation method is applied to calculate the quanta emission rate,which further provides the input parameters of the TJWR *** known outbreaks(Hangzhou banquet hall X,Guangzhou restaurant Y,and Hong Kong restaurant Z,China)are chosen to validate the TJWR *** show that the TJWR model is more efficient than the original Wells-Riley *** average relative error of the TJWR model ranges between 9%and 44%,while for the Wells-Riley model,it ranges between 57%and 78%.The TJWR model also proves that infection risk assessments using the well-mixed assumption can systematically underestimate the transmission risk for those close to the ***,there is a significant positive linear correlation between the total number of exposed individuals at the short-range and the effective reproduction *** newly developed TJWR model has great potential for rapid and real-time overall airborne transmission risk assessment in buildings and cities.