Evidence map›Paper›PMID 37284234›Full record

ArticleEPJ data science2023

The shock, the coping, the resilience: smartphone application use reveals Covid-19 lockdown effects on human behaviors.

Xiao Fan Liu, Zhen-Zhen Wang, Xiao-Ke Xu, Ye Wu, Zhidan Zhao, Huarong Deng, Ping Wang, Naipeng Chao, Yi-Hui C Huang

Abstract read
In one paragraph

Article in EPJ data science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Xiao Fan Liu18 Tat Hong Avenue, Kowloon, Hong Kong SAR China Web Mining Laboratory, Department of Media and Communication, City University of Hong Kong.ORCID 0000-0001-8342-4623
Zhen-Zhen Wang3688 Nanhai Avenue, 518060 Shenzhen, China School of Communication, Shenzhen University.
Xiao-Ke XuZhuhai, China Center for Computational Communication Research, Beijing Normal University.
Ye WuZhuhai, China Center for Computational Communication Research, Beijing Normal University.
Zhidan ZhaoShantou, China School of Engineering, Shantou University.
Huarong DengOPPO Internet Advertising Technology, Shenzhen, China.
Ping WangOPPO Internet Advertising Technology, Shenzhen, China.
Naipeng Chao3688 Nanhai Avenue, 518060 Shenzhen, China School of Communication, Shenzhen University.
Yi-Hui C Huang18 Tat Hong Avenue, Kowloon, Hong Kong SAR China Web Mining Laboratory, Department of Media and Communication, City University of Hong Kong.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

COVID-19Human behaviorsLockdownNatural experimentSmartphone apps

Identifiers

PMID37284234
PMCPMC10240109

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.