ArticleACS omega2021
CFD Simulation of the Airborne Transmission of COVID-19 Vectors Emitted during Respiratory Mechanisms: Revisiting the Concept of Safe Distance.
Article in ACS omega, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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Who cites it
12 citing papers in PubMed.
- Modeling airborne transmission of viral genome using computational fluid dynamics simulation: A case study for SARS-CoV-2 virus.Journal of environmental health science & engineering · 2025Article
- 3D modelling and simulation of thermal effects and dispersion of particles carrying infectious respiratory agents in a railway transport coach.Scientific reports · 2025Article
- Air Change Rate and SARS-CoV-2 Exposure in Hospitals and Residences: A Meta-Analysis.Aerosol science and technology : the journal of the American Association for Aerosol Research · 2024Article
- From Microscopic Droplets to Macroscopic Crowds: Crossing the Scales in Models of Short-Range Respiratory Disease Transmission, with Application to COVID-19.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Differences in airborne stability of SARS-CoV-2 variants of concern is impacted by alkalinity of surrogates of respiratory aerosol.Journal of the Royal Society, Interface · 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
- Improving Indoor Air Ventilation by a Ceiling Fan to Mitigate Aerosols Transmission.Transactions of the Indian National Academy of Engineering : an international journal of engineering and technology · 2023Article
- Pathways to community transmission of COVID-19 due to rapid evaporation of respiratory virulets.Journal of colloid and interface science · 2022Article
- Role of pathogen-laden expiratory droplet dispersion and natural ventilation explaining a COVID-19 outbreak in a coach bus.Building and environment · 2022Article
- An Internet of Things Sensor Array for Spatially and Temporally Resolved Indoor Climate Measurements.Sensors (Basel, Switzerland) · 2022Article
- Computer Added Simulation of the Spread of Multidrug-Resistant Bacteria in an Radiation Therapy Shelter Based on Computational Fluid Dynamics.Computational and mathematical methods in medicine · 2022Article
- Modelling aerosol-based exposure to SARS-CoV-2 by an agent based Monte Carlo method: Risk estimates in a shop and bar.PloS one · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The airborne transmission of the COVID-19 virus has been suggested as a major mode of transmission in recent studies. In this context, we studied the spatial transmission of COVID-19 vectors in an indoor setting representative of a typical office room. Computational fluid dynamics (CFD) simulations were performed to study the airborne dispersion of particles ejected due to different respiratory mechanisms, i.e., coughing, sneezing, normal talking, and loud talking. Number concentration profiles at a distance of 2 m in front of the emitter at the ventilation rates of 4, 6, and 8 air changes per hour (ACH) were estimated for different combinations of inlet-outlet positions and emitter-receptor configurations. Apart from respiratory events, viz., coughing and sneezing characterized by higher velocity and concentration of ejected particles, normal as well as loud talking was seen to be carrying particles to the receptor for some airflow patterns in the room. This study indicates that the ″rule of thumb based safe distance approach″ cannot be a general mitigation strategy for infection control. Under some scenarios, events with a lower release rate of droplets such as talking (i.e., asymptomatic transmission) can lead to a high concentration of particles persisting for long times. For better removal, the study suggests ″air curtains″ as an appropriate approach, simultaneously highlighting the pitfalls in the ″higher ventilation rate for better removal″ strategy. The inferences for talking-induced particle transmissions are crucial considering that large populations of COVID-19-infected persons are projected to be asymptomatic transmitters.
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Registered trials
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