Xiao Fan Liu, Zhen-Zhen Wang, Xiao-Ke Xu, Ye Wu, Zhidan Zhao, Huarong Deng, Ping Wang, Naipeng Chao, Yi-Hui C Huang
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Second, apps that fulfilled lower-level human needs, such as working, socializing, information seeking, and entertainment, saw an immediate and substantial increase in screen time. Those that satisfied higher-level needs, such as education, only attracted delayed attention. Third, human behaviors demonstrated resilience as most routines resumed after the lockdowns were lifted. Nonetheless, long-term lifestyle changes were observed, as significant numbers of people chose to continue working and learning online, becoming \"digital residents.\" This study also demonstrates the capability of smartphone screen time analytics in the study of human behaviors.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1140/epjds/s13688-023-00391-9.</p>","PeriodicalId":11887,"journal":{"name":"EPJ Data Science","volume":"12 1","pages":"17"},"PeriodicalIF":3.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10240109/pdf/","citationCount":"0","resultStr":"{\"title\":\"The shock, the coping, the resilience: smartphone application use reveals Covid-19 lockdown effects on human behaviors.\",\"authors\":\"Xiao Fan Liu, Zhen-Zhen Wang, Xiao-Ke Xu, Ye Wu, Zhidan Zhao, Huarong Deng, Ping Wang, Naipeng Chao, Yi-Hui C Huang\",\"doi\":\"10.1140/epjds/s13688-023-00391-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Human mobility restriction policies have been widely used to contain the coronavirus disease-19 (COVID-19). However, a critical question is how these policies affect individuals' behavioral and psychological well-being during and after confinement periods. Here, we analyze China's five most stringent city-level lockdowns in 2021, treating them as natural experiments that allow for examining behavioral changes in millions of people through smartphone application use. We made three fundamental observations. First, the use of physical and economic activity-related apps experienced a steep decline, yet apps that provide daily necessities maintained normal usage. Second, apps that fulfilled lower-level human needs, such as working, socializing, information seeking, and entertainment, saw an immediate and substantial increase in screen time. Those that satisfied higher-level needs, such as education, only attracted delayed attention. Third, human behaviors demonstrated resilience as most routines resumed after the lockdowns were lifted. 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The shock, the coping, the resilience: smartphone application use reveals Covid-19 lockdown effects on human behaviors.
Human mobility restriction policies have been widely used to contain the coronavirus disease-19 (COVID-19). However, a critical question is how these policies affect individuals' behavioral and psychological well-being during and after confinement periods. Here, we analyze China's five most stringent city-level lockdowns in 2021, treating them as natural experiments that allow for examining behavioral changes in millions of people through smartphone application use. We made three fundamental observations. First, the use of physical and economic activity-related apps experienced a steep decline, yet apps that provide daily necessities maintained normal usage. Second, apps that fulfilled lower-level human needs, such as working, socializing, information seeking, and entertainment, saw an immediate and substantial increase in screen time. Those that satisfied higher-level needs, such as education, only attracted delayed attention. Third, human behaviors demonstrated resilience as most routines resumed after the lockdowns were lifted. Nonetheless, long-term lifestyle changes were observed, as significant numbers of people chose to continue working and learning online, becoming "digital residents." This study also demonstrates the capability of smartphone screen time analytics in the study of human behaviors.
Supplementary information: The online version contains supplementary material available at 10.1140/epjds/s13688-023-00391-9.
期刊介绍:
EPJ Data Science covers a broad range of research areas and applications and particularly encourages contributions from techno-socio-economic systems, where it comprises those research lines that now regard the digital “tracks” of human beings as first-order objects for scientific investigation. Topics include, but are not limited to, human behavior, social interaction (including animal societies), economic and financial systems, management and business networks, socio-technical infrastructure, health and environmental systems, the science of science, as well as general risk and crisis scenario forecasting up to and including policy advice.