ArXiv Preprint
Since the World Health Organization (WHO) characterized COVID-19 as a
pandemic in March 2020, there have been over 600 million confirmed cases of
COVID-19 and more than six million deaths as of October 2022. The relationship
between the COVID-19 pandemic and human behavior is complicated. On one hand,
human behavior is found to shape the spread of the disease. On the other hand,
the pandemic has impacted and even changed human behavior in almost every
aspect. To provide a holistic understanding of the complex interplay between
human behavior and the COVID-19 pandemic, researchers have been employing big
data techniques such as natural language processing, computer vision, audio
signal processing, frequent pattern mining, and machine learning. In this
study, we present an overview of the existing studies on using big data
techniques to study human behavior in the time of the COVID-19 pandemic. In
particular, we categorize these studies into three groups - using big data to
measure, model, and leverage human behavior, respectively. The related tasks,
data, and methods are summarized accordingly. To provide more insights into how
to fight the COVID-19 pandemic and future global catastrophes, we further
discuss challenges and potential opportunities.
Hanjia Lyu, Arsal Imtiaz, Yufei Zhao, Jiebo Luo
2023-03-23
