ArticleIndoor air2021
Modeling the viral load dependence of residence times of virus-laden droplets from COVID-19-infected subjects in indoor environments.
Article in Indoor air, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- A New Approach for Respiratory Droplet Trajectory: Implications for Viral and Bacterial Disease Transmission in Emergency Departments.Yonago acta medica · 2025Article
- Analysis of SARS-CoV-2 Transmission by Airborne Droplets in a Restaurant Outbreak: A CFD Approach.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2025Article
- Modelling indoor airborne transmission combining architectural design and people movement using the VIRIS simulator and web app.Scientific reports · 2024Article
- Particle generation and dispersion from high-speed dental drilling.Clinical oral investigations · 2023Article
- Systematic Review of the Key Factors Influencing the Indoor Airborne Spread of SARS-CoV-2.Pathogens (Basel, Switzerland) · 2023Review
- The Spread of Exhaled Air and Aerosols during Physical Exercise.Journal of clinical medicine · 2023Article
- Development of a "Journal of environmental radioactivity · 2023Article
- Effect of indoor temperature on the velocity fields and airborne transmission of sneeze droplets: An experimental study and transient CFD modeling.The Science of the total environment · 2023Article
- A comprehensive modelling approach to estimate the transmissibility of coronavirus and its variants from infected subjects in indoor environments.Scientific reports · 2022Article
- Predicting the spatio-temporal infection risk in indoor spaces using an efficient airborne transmission model.Proceedings. Mathematical, physical, and engineering sciences · 2022Article
- Modeling the viral load dependence of residence times of virus-laden droplets from COVID-19-infected subjects in indoor environments.Indoor air · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the ongoing COVID-19 pandemic situation, exposure assessment and control strategies for aerosol transmission path are feebly understood. A recent study pointed out that Poissonian fluctuations in viral loading of airborne droplets significantly modifies the size spectrum of the virus-laden droplets (termed as "virusol") (Anand and Mayya, 2020). Herein we develop the theory of residence time of the virusols, as contrasted with complete droplet system in indoor air using a comprehensive "Falling-to-Mixing-Plate-out" model that considers all the important processes namely, indoor dispersion of the emitted puff, droplet evaporation, gravitational settling, and plate out mechanisms at indoor surfaces. This model fills the existing gap between Wells falling drop model (Wells, 1934) and the stirred chamber models (Lai and Nazarofff, 2000). The analytical solutions are obtained for both 1-D and 3-D problems for non-evaporating falling droplets, used mainly for benchmarking the numerical formulation. The effect of various parameters is examined in detail. Significantly, the mean residence time of virusols is found to increase nonlinearly with the viral load in the ejecta, ranging from about 100 to 150 s at low viral loads (<10
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