2008
DOI: 10.3763/asre.2008.5103
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Infection Risk of Indoor Airborne Transmission of Diseases in Multiple Spaces

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Cited by 14 publications
(19 citation statements)
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“…Spatial distribution of gas concentration is then obtained and the amount of exhaled breath inhaled by the susceptible person at different locations can be calculated. Some risk assessment studies have used these approaches to incorporate spatial variation into infection risk (e.g., Gao et al., 2008; Tung and Hu, 2008). These approaches can provide more realistic results, but they are more time‐consuming than using the multiple box or multi‐zone model.…”
Section: Model Development and Modificationmentioning
confidence: 99%
“…Spatial distribution of gas concentration is then obtained and the amount of exhaled breath inhaled by the susceptible person at different locations can be calculated. Some risk assessment studies have used these approaches to incorporate spatial variation into infection risk (e.g., Gao et al., 2008; Tung and Hu, 2008). These approaches can provide more realistic results, but they are more time‐consuming than using the multiple box or multi‐zone model.…”
Section: Model Development and Modificationmentioning
confidence: 99%
“…It was indicated in this study that the concentration level of the upper room is two orders of magnitude lower than the adjacent lower room, but the difference of infection risk between them is only one order of magnitude. Wells-Riley model plays an important role in transforming pathogen concentration to the infection risk and increasing researches which applied Wells-Riley model to CFD simulation can be found: Noakes et al (n.d.) studied transmission method of the airborne pathogen in an enclosed space and Tung and Hu (2008) simulated the airborne transmission of the indoor environment in multiple spaces; Moreover, Aliabadi et al (2014) , Gupta et al (2012) , Villafruela et al (2013) and You et al (2019) used this model in the simulations of their research.…”
Section: Epidemic Theories and Experimental Methodsmentioning
confidence: 99%
“…Of the 11 studies reporting data for the effect of the anteroom (vestibule) area in controlling hospital infections caused by infectious organisms ( 17 , 21 , 26 , 29 , 32 36 , 42 , 43 ), 8 had separate data for viral infections ( 17 , 21 , 32 , 34 36 , 42 , 43 ). Also, 2 studies reported data on bacterial infections ( 29 , 33 ), and one study included fungal infections ( 26 ).…”
Section: Resultsmentioning
confidence: 99%
“…Four studies focused on the pressure difference gradient between rooms ( 17 , 36 , 41 , 43 ). In one study, a −8 Pa pressure difference between an anteroom and isolation room resulted in better function and effective infection prevention ( 36 ).…”
Section: Resultsmentioning
confidence: 99%