Coupled Computational Fluid Dynamics–Agent-Based Modeling of Air-borne and Fomite Infection Risk in Gate-to-Gate Air Travel

Ozcakir, Ozge; Koolhof, Iain; Pepper, Craig; Roberts, Shelley; Lebbin, Paul; Bennett, James; Gearhart, Shannon; Gwynne, Steve; Tvaryanas, Anthony P.; Armstrong, Jason

doi:10.21949/1529731

i

Coupled Computational Fluid Dynamics–Agent-Based Modeling of Air-borne and Fomite Infection Risk in Gate-to-Gate Air Travel

2026-06-01
By Ozcakir, Ozge ; Koolhof, Iain ; Pepper, Craig ; ...

File Language:

English

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Creators:

Ozcakir, Ozge ; Koolhof, Iain ; Pepper, Craig ; Roberts, Shelley ; Lebbin, Paul ; Bennett, James ; Gearhart, Shannon ; Gwynne, Steve ; Tvaryanas, Anthony P. ; Armstrong, Jason
Corporate Creators:

Boeing Technology Innovation. Australia, Brisbane, Australia ; National Research Council Canada ; National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention ; National Center for Emerging and Zoonotic Infectious Diseases. Centers for Disease Control and Prevention ; University of Greenwich & GHD. London, UK ; United States. Department of Transportation. Federal Aviation Administration. Civil Aerospace Medical Institute
Corporate Contributors:

United States. Department of Transportation. Federal Aviation Administration. Office of Aviation. Office of Aerospace Medicine
Subject/TRT Terms:

Communicable Diseases Human Factors Public Health Risk Analysis Virus Transmission Visualization
Publication/ Report Number:

DOT/FAA/AM-26/08
DOI:

https://doi.org/10.21949/1529731
Resource Type:

Brief
Geographical Coverage:

United States
Edition:

Presentation / Abstract
Corporate Publisher:

United States. Department of Transportation. Federal Aviation Administration. Office of Aerospace Medicine. Civil Aerospace Medical Institute (CAMI)
Abstract:

The COVID-19 pandemic exposed how vulnerable air travel is to infectious diseases and prompted stronger federal coordination and integrated research (Sun et al., 2022; GAO 2024). Boeing, the Federal Aviation Administration, Centers for Disease Control and Prevention, and National Research Council Canada formed a multidisciplinary team to tackle communicable disease challenges in aviation and enable rapid public health responses. This collaboration produced the Travel Risk In Pandemics (TRIP-X) framework to assess risk controls and evaluate mitigation strategies for different aviation and travel settings. We present the computational model architecture and methods used in TRIP-X to simulate airborne and fomite transmission in a gate-to-gate air travel scenario.
Format:

PDF
Funding:

NAT-I-8917, 6973GH-23-H-00002, 6973GH-23-N-00003, 6973GH-23-H-00003, 6973GH-25-H-00002
Collection(s):

FAA Civil Aerospace Medical Institute
Main Document Checksum:

urn:sha-512:82bac0796e873cc85ae1db94269bd729c7aa12aaf143180f4c1d2312197178c0e54b67db8bb10353e5e063f95b139d0e3fd4fb28e0723aa7de251386e466971b
Download URL:

https://rosap.ntl.bts.gov/view/dot/92633/dot_92633_DS1.pdf
File Type:

[PDF - 270.68 KB ]

File Language:

English

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