Since the World Health Organization announced the COVID-19 pandemic in March 2020, curbing the spread of the virus has become an international priority. It has greatly affected people's lifestyles. In this article, we observe and analyze the impact of the pandemic on people's lives using changes in smartphone application usage. First, through observing the daily usage change trends of all users during the pandemic, we can understand and analyze the effects of restrictive measures and policies during the pandemic on people's lives. In addition, it is also helpful for the government and health departments to take more appropriate restrictive measures in the case of future pandemics. Second, we defined the usage change features and found 9 different usage change patterns during the pandemic according to clusters of users and show the diversity of daily usage changes. It helps to understand and analyze the different impacts of the pandemic and restrictive measures on different types of people in more detail. Finally, according to prediction models, we discover the main related factors of each usage change type from user preferences and demographic information. It helps to predict changes in smartphone activity during future pandemics or when other restrictive measures are implemented, which may become a new indicator to judge and manage the risks of measures or events.
翻译:自世界卫生组织于2020年3月宣布COVID-19大流行以来,遏制该病毒的传播已成为一项国际优先事项,它极大地影响了人们的生活方式;在本篇文章中,我们通过使用智能手机的变化观察和分析该流行病对人们生活的影响;第一,通过观察该流行病期间所有使用者每天使用量的变化趋势,我们可以理解和分析该流行病期间限制性措施和政策对人们生活的影响;此外,政府和卫生部门对未来流行病采取更适当的限制性措施也是有益的;第二,我们界定了使用量的变化特征,发现该流行病期间有9种不同的使用量变化模式,按用户群分列,并显示每日使用量变化的多样性;它有助于了解和分析该流行病的不同影响和对不同类型人群的限制性措施;最后,根据预测模型,我们从用户偏好和人口信息中发现每种使用量类型变化的主要相关因素;它有助于预测今后在流行病或实施其他限制性措施时智能手机活动的变化,这可能成为判断和管理措施或事件风险的新指标。