Predicting the number of COVID-19 imported cases based on cross-modal transformer: A case study in China

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Wen Zhang, Rui Xie, Jian Li, Liang Wang, Xiang Li, Peng Peng

Published: 01 Jan 2025, Last Modified: 02 Mar 2025Expert Syst. Appl. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•PNICA is proposed to predict the number of COVID-19 imported cases.•PNICA adopts a multi-modal learning strategy to fuse three sources of data.•PNICA extends traditional transformer model with cross-modal attention for data fusion.•Experiments demonstrate the superiority of PNICA over the baseline methods.