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It is essential to investigate person-to-person contaminant transport in enclosed environments to improve air distribution design and reduce the infection risk from airborne infectious diseases. This study aims to develop various models for quickly predicting person-to-person contaminant transport in enclosed environments and investigate the effect of influencing factors on the contaminant transport. The models developed in this study can be used for quickly predicting person-to-person contaminant transport in enclosed environments. The correlations between the influencing factors and person-to-person contaminant transport can be used as general guidance on how to design ventilation systems to minimize inter-personal infection in a mechanically ventilated space.