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Tang, J.W., Nicolle, A.D., Klettner, C.A., Pantelic, J., Wang, L., Suhaimi, A.B., Tan, A.Y.L., Ong, G.W.X., Su, R., Sekhar, C., Cheong, D.D.W. and Tham, K.W. (2013) Airflow Dynamics of Human Jets: Sneezing and Breathing—Potential Sources of Infectious Aerosols. PLoS ONE, 8, e59970.
https://doi.org/10.1371/journal.pone.0059970

has been cited by the following article:

• TITLE: A Preliminary Numerical Investigation of Airborne Droplet Dispersion in Aircraft Cabins

  AUTHORS: Dinesh Bhatia, Antonio De Santis

  KEYWORDS: Droplet Dispersal, Aircraft Cabin, CFD, Airborne Transmission

  JOURNAL NAME: Open Journal of Fluid Dynamics, Vol.10 No.3, August 3, 2020

  ABSTRACT: The emergence of the novel coronavirus has led to a global pandemic which has led to the airline industry facing severe losses. For air travel to recover, airlines need to ensure safe air travel. In this paper, the authors have modeled droplet dispersion after a single breath from an index patient. Computational Fluid Dynamics (CFD) simulations are conducted using the k-ωSST turbulence model in ANSYS Fluent. The authors have taken into consideration several parameters such as the size of the mouth opening, the velocity of the cabin air as well as the number of droplets being exhaled by the index patient to ensure a realistic simulation. Preliminary results indicate that after a duration of 20 s, droplets from the index patient disperse within a 10 m2 cabin area. About 75% of the droplets are found disperse for up to 2 m axially behind the index patient. This could possess an enhanced risk to passengers sitting behind the index patient. Ultimately, this paper provides an insight into the potential of CFD to visualise droplet dispersal and give impetus to ensure that necessary mitigating measures can be taken to reduce the risk of infection through droplet dispersal.