Dietary, comorbidity, and geo-economic data fusion for explainable COVID-19 mortality prediction

作者：

Highlights：

• Dietary habits and geo-economic factors accurately explain COVID-19 mortality.

• Unbalanced dietary patterns contribute to predicting larger COVID-19 mortality rate.

• Fusion of relevant data factors improves the prediction of COVID-19 mortality.

• Countries with similar dietary habits and COVID-19 mortality clustered together.

摘要

•Dietary habits and geo-economic factors accurately explain COVID-19 mortality.•Unbalanced dietary patterns contribute to predicting larger COVID-19 mortality rate.•Fusion of relevant data factors improves the prediction of COVID-19 mortality.•Countries with similar dietary habits and COVID-19 mortality clustered together.

论文关键词：COVID-19 mortality prediction,Data fusion,Dietary habits,Geo-economic factors,Comorbidity

论文评审过程：Received 5 December 2021, Revised 8 July 2022, Accepted 1 August 2022, Available online 5 August 2022, Version of Record 10 August 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118377