Transportation and Risk Analysis of Influenza Indoor and Outdoor Transportation and Exposure Risk Analysis of Influenza Aerosol

Liu, Wei; You, Xue-yi

doi:10.1177/1420326x11426164

Cited by 12 publications

(13 citation statements)

References 19 publications

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“…Modelled exposure correlated significantly to the expected exposure (homes of cases) in six nearby buildings. Liu and You (2012) simulated human influenza virus transmission among five apartment buildings. Virus particles were dispersed tens of metres downwind, thereby leading to a "high risk of secondary infection in large areas".…”

Section: Livestock and Urban Environmentsmentioning

confidence: 99%

Atmospheric dispersion modelling of bioaerosols that are pathogenic to humans and livestock – A review to inform risk assessment studies

Leuken

Swart

Havelaar

et al. 2016

Microbial Risk Analysis

121

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Section: Livestock and Urban Environmentsmentioning

confidence: 99%

Atmospheric dispersion modelling of bioaerosols that are pathogenic to humans and livestock – A review to inform risk assessment studies

Leuken

Swart

Havelaar

et al. 2016

Microbial Risk Analysis

121

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“…In our view, LES is the most suitable approach to the present problem although it is computationally more expensive than RANS. Earlier, only few LES-studies with some relevance to the present study have been published ( Tian et al, 2007 , Berrouk et al, 2010 , Liu and You, 2012 ).…”

Section: Introductionmentioning

confidence: 98%

Modelling aerosol transport and virus exposure with numerical simulations in relation to SARS-CoV-2 transmission by inhalation indoors

et al. 2020

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We provide research findings on the physics of aerosol and droplet dispersion relevant to the hypothesized aerosol transmission of SARS-CoV-2 during the current pandemic. We utilize physics-based modeling at different levels of complexity, along with previous literature on coronaviruses, to investigate the possibility of airborne transmission. The previous literature, our 0D-3D simulations by various physics-based models, and theoretical calculations, indicate that the typical size range of speech and cough originated droplets ( ) allows lingering in the air for ) so that they could be inhaled. Consistent with the previous literature, numerical evidence on the rapid drying process of even large droplets, up to sizes , into droplet nuclei/aerosols is provided. Based on the literature and the public media sources, we provide evidence that the individuals, who have been tested positive on COVID-19, could have been exposed to aerosols/droplet nuclei by inhaling them in significant numbers e.g. . By 3D scale-resolving computational fluid dynamics (CFD) simulations, we give various examples on the transport and dilution of aerosols ( ) over distances in generic environments. We study susceptible and infected individuals in generic public places by Monte-Carlo modelling. The developed model takes into account the locally varying aerosol concentration levels which the susceptible accumulate via inhalation. The introduced concept, ’exposure time’ to virus containing aerosols is proposed to complement the traditional ’safety distance’ thinking. We show that the exposure time to inhale aerosols could range from to or even to depending on the situation. The Monte-Carlo simulations, along with the theory, provide clear quantitative insight to the exposure time in different public indoor environments.

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“…The indoor and outdoor transportation and risk of influenza aerosol exposure was evaluated by Liu and You. 23 The virus could possibly cling onto small particles and be transported in the air to a long distance.…”

Section: Transmission Of Covid 19mentioning

confidence: 99%

The 2019-nCoV epidemic control strategies and future challenges of building healthy smart cities

Xin

et al. 2020

Indoor and Built Environment

111

114

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The 2019 Novel Wuhan Coronavirus (2019-nCoV) epidemic (namely COVID 19) was first reported and confirmed on 31 December 2019, in Wuhan, Hubei Province, China, which is one of China's largest cities and a major domestic transport hub (located in the central part of China, as shown in Figure 1). 1 The epidemic is attracting worldwide concern due to its rapid spread and transmission rate between humans. On 30 January 2020, the International Health Regulations, Emergency Committee of the World Health Organization (WHO) declared the outbreak-a 'public health emergency of international concern'. 2 On 8 February 2020 (24:00 GMT þ 8), there were 37,198 confirmed infections in China (including 811 deaths with a death ratio of 2.1%; and 6188 patients were confirmed in serious condition and 28,942 suspected cases). 3 The COVID 19 infections were also reported in 26 other countries on

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Transportation and Risk Analysis of Influenza Indoor and Outdoor Transportation and Exposure Risk Analysis of Influenza Aerosol

Cited by 12 publications

References 19 publications

Atmospheric dispersion modelling of bioaerosols that are pathogenic to humans and livestock – A review to inform risk assessment studies

Atmospheric dispersion modelling of bioaerosols that are pathogenic to humans and livestock – A review to inform risk assessment studies

Modelling aerosol transport and virus exposure with numerical simulations in relation to SARS-CoV-2 transmission by inhalation indoors

The 2019-nCoV epidemic control strategies and future challenges of building healthy smart cities

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