Selected article for: "logistic regression model and regression model"
Author: Yuguo Li; Hua Qian; Jian Hang; Xuguang Chen; Ling Hong; Peng Liang; Jiansen Li; Shenglan Xiao; Jianjian Wei; Li Liu; Min Kang
Title: Evidence for probable aerosol transmission of SARS-CoV-2 in a poorly ventilated restaurant
  • Document date: 2020_4_22
    • ID: bbghqy1a_21
    Snippet: We approximated the exhaled droplet nuclei as a passive scalar and the deposition effect was therefore neglected. The prediction was compared to measurement ( Figure S4 ). After CFD modeling, we used the health status (ill vs. healthy) of each person at non-A tables as the dependent variable and applied a binary logistic regression model to investigate the association between the predicted concentrations and infection probability. In both the exp.....
    Document: We approximated the exhaled droplet nuclei as a passive scalar and the deposition effect was therefore neglected. The prediction was compared to measurement ( Figure S4 ). After CFD modeling, we used the health status (ill vs. healthy) of each person at non-A tables as the dependent variable and applied a binary logistic regression model to investigate the association between the predicted concentrations and infection probability. In both the experiments and simulations, we assumed that the tracer gas was released from the index patient's mouth.

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