Meteorological and human mobility data on predicting COVID-19 cases by a novel hybrid decomposition method with anomaly detection analysis: A case study in the capitals of Brazil

作者：

Highlights：

• We analyze the correlation of meteorological and human mobility in Brazilian capitals.

• We propose the EEMD-ARIMAX method to predict time series with independent variables.

• We introduce an anomaly detection algorithm to adjust the prediction.

摘要

•We analyze the correlation of meteorological and human mobility in Brazilian capitals.•We propose the EEMD-ARIMAX method to predict time series with independent variables.•We introduce an anomaly detection algorithm to adjust the prediction.

论文关键词：COVID-19,EEMD,ARIMAX,Anomaly,Meteorological data,Human mobility data

论文评审过程：Received 22 February 2021, Revised 30 April 2021, Accepted 9 May 2021, Available online 18 May 2021, Version of Record 25 May 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115190