ArticlePhysics of fluids (Woodbury, N.Y. : 1994)2020
A mathematical framework for estimating risk of airborne transmission of COVID-19 with application to face mask use and social distancing.
Article in Physics of fluids (Woodbury, N.Y. : 1994), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
64 citing papers in PubMed.
- Application of a composite, multi-scale COVID-19 mitigation framework: US border use-case.Health systems (Basingstoke, England) · 2025Article
- Identifying the effectiveness of face mask in a large population with a network-based fluid model.PloS one · 2025Article
- On the efficacy of facial masks to suppress the spreading of pathogen-carrying saliva particles during human respiratory events: Insights gained via high-fidelity numerical modeling.Medical research archives · 2024Article
- Article
- 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
- Generalizing the Wells-Riley Infection Probability: A Superstatistical Scheme for Indoor Infection Risk Estimation.Entropy (Basel, Switzerland) · 2023Article
- Safe COBuilding and environment · 2023Article
- A mathematical model of catalyst combination design and temperature control in the preparation of CRSC advances · 2023Article
- Safe distancing in the time of COVID-19.European journal of operational research · 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
- A critical review on the role of leakages in the facemask protection against SARS-CoV-2 infection with consideration of vaccination and virus variants.Indoor air · 2022Review
- Predicting and preventing COVID-19 outbreaks in indoor environments: an agent-based modeling study.Scientific reports · 2022Article
- Evaluations of 3D-Printed Surgical Mask Tension Release Bands for Common COVID-19 Use with Biomechanics, Sensor Array System, and Finite Element Analysis.Sensors (Basel, Switzerland) · 2022Article
- The effect of relative air humidity on the evaporation timescales of a human sneeze.AIP advances · 2022Article
- Airborne and aerosol pathogen transmission modeling of respiratory events in buildings: An overview of computational fluid dynamics.Sustainable cities and society · 2022Review
- Article
- Relative assessment of cloth mask protection against ballistic droplets: A frugal approach.PloS one · 2022Article
- Merits and Limitations of Mathematical Modeling and Computational Simulations in Mitigation of COVID-19 Pandemic: A Comprehensive Review.Archives of computational methods in engineering : state of the art reviews · 2022Review
- Infrared-based visualization of exhalation flows while wearing protective face masks.Physics of fluids (Woodbury, N.Y. : 1994) · 2022Article
- Modelling the direct virus exposure risk associated with respiratory events.Journal of the Royal Society, Interface · 2022Article
4 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A mathematical model for estimating the risk of airborne transmission of a respiratory infection such as COVID-19 is presented. The model employs basic concepts from fluid dynamics and incorporates the known scope of factors involved in the airborne transmission of such diseases. Simplicity in the mathematical form of the model is by design so that it can serve not only as a common basis for scientific inquiry across disciplinary boundaries but it can also be understandable by a broad audience outside science and academia. The caveats and limitations of the model are discussed in detail. The model is used to assess the protection from transmission afforded by face coverings made from a variety of fabrics. The reduction in the transmission risk associated with increased physical distance between the host and susceptible is also quantified by coupling the model with available and new large eddy simulation data on scalar dispersion in canonical flows. Finally, the effect of the level of physical activity (or exercise intensity) of the host and the susceptible in enhancing the transmission risk is also assessed.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.