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Creators/Authors contains: "Pierrot Derjany, Sirish Namilae"

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  1. 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. 
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  2. This paper presents a formulation for an integrated model combining a social force based pedestrian movement including collision avoidance and a stochastic infection dynamics framework to evaluate the spread of infectious diseases in air transportation medium. We apply the multiscale model for two infectious diseases (1) Ebola and (2) SARS pathogens with different transmission mechanisms and compare the pattern of propagation during airplane boarding and deplaning at the airport gate. The objective of this analysis is to assess the influence of pedestrian movement on infection spread at an airport departure lounge. 
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