Work from home during the COVID-19 pandemic: An observational study based on a large geo-tagged COVID-19 Twitter dataset (UsaGeoCov19)

作者：

Highlights：

• A large-scale geo-tagged COVID-19 tweet dataset in the United States was released.

• An algorithm to estimate work engagement during the COVID-19 crisis is proposed.

• The negative emotion reached the highest level when 1000th deaths were reported.

• The positive emotion achieved the highest level when states began to reopen.

• Ten popular topics, such as Facts and Healthcare, are inferred and summarized.

摘要

•A large-scale geo-tagged COVID-19 tweet dataset in the United States was released.•An algorithm to estimate work engagement during the COVID-19 crisis is proposed.•The negative emotion reached the highest level when 1000th deaths were reported.•The positive emotion achieved the highest level when states began to reopen.•Ten popular topics, such as Facts and Healthcare, are inferred and summarized.

论文关键词：Work from home,Stay-at-home order,Lockdown,Reopen,Spatiotemporal analysis,Descriptive study

论文评审过程：Received 27 April 2021, Revised 27 August 2021, Accepted 9 November 2021, Available online 9 December 2021, Version of Record 9 December 2021.

论文官网地址：https://doi.org/10.1016/j.ipm.2021.102820