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Title: Computational Model for Pedestrian Movement and Infectious Diseases Spread During Air Travel
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  more » « less
Award ID(s):
1640824
NSF-PAR ID:
10079517
Author(s) / Creator(s):
Date Published:
Journal Name:
AIAA Scitech 2018
Page Range / eLocation ID:
0419
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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