Computational model for pedestrian movement and infectious diseases spread during air travel

Pierrot Derjany, Sirish Namilae, Anuj Mubayi, Ashok Srinivasan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationAIAA Modeling and Simulation Technologies
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
Edition209959
ISBN (Print)9781624105289
DOIs
StatePublished - Jan 1 2018
EventAIAA Modeling and Simulation Technologies Conference, 2018 - Kissimmee, United States
Duration: Jan 8 2018Jan 12 2018

Other

OtherAIAA Modeling and Simulation Technologies Conference, 2018
CountryUnited States
CityKissimmee
Period1/8/181/12/18

ASJC Scopus subject areas

  • Modeling and Simulation
  • Aerospace Engineering

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  • Cite this

    Derjany, P., Namilae, S., Mubayi, A., & Srinivasan, A. (2018). Computational model for pedestrian movement and infectious diseases spread during air travel. In AIAA Modeling and Simulation Technologies (209959 ed.). American Institute of Aeronautics and Astronautics Inc, AIAA. https://doi.org/10.2514/6.2018-0419