Interpretable travel distance on the county-wise COVID-19 by sequence to sequence with attention

Abstract

Background: Travel restrictions as a means of intervention in the COVID-19 epidemic have reduced the spread of outbreaks using epidemiological models. We introduce the attention module in the sequencing model to assess the effects of the different classes of travel distances.Objective: To establish a direct relationship between the number of travelers for various travel distances and the COVID-19 trajectories. To improve the prediction performance of sequencing model.