@inproceedings{4fcdbbcc2e784913ba9fad236d3a589b,
title = "Computational model for pedestrian movement and infectious diseases spread during air travel",
abstract = "This paper presents an integrated computational framework combining a Molecular Dynamics (MD) based social force pedestrian movement model and a stochastic infection dynamics model to evaluate the spread of viral infectious diseases during air-transportation. We apply the multiscale model for three infectious (1) Ebola (2) Influenza (H1N1 strain) and (3) SARS pathogens with different transmission mechanisms and compare the pattern of propagation during an Airbus A320 carrier boarding and deplaning at an airport gate. The objective of this analysis is to assess the influence of pedestrian movement on infection spread during air travel.",
author = "Pierrot Derjany and Sirish Namilae and Anuj Mubayi and Ashok Srinivasan",
note = "Funding Information: The simulations in this paper were performed on National Center for Supercomputing Applications Bluewaters supercomputer. The authors gratefully acknowledge the support of NSF. PD also acknowledges partial support of the Department of Transportation. Publisher Copyright: {\textcopyright} 2018, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.; AIAA Modeling and Simulation Technologies Conference, 2018 ; Conference date: 08-01-2018 Through 12-01-2018",
year = "2018",
doi = "10.2514/6.2018-0419",
language = "English (US)",
isbn = "9781624105289",
series = "AIAA Modeling and Simulation Technologies Conference, 2018",
publisher = "American Institute of Aeronautics and Astronautics Inc, AIAA",
number = "209959",
booktitle = "AIAA Modeling and Simulation Technologies",
edition = "209959",
}