Literature DB >> 35582635

The Impact of Covid-19 on Smartphone Usage.

Tong Li1,2, Mingyang Zhang1, Yong Li3, Eemil Lagerspetz2, Sasu Tarkoma2, Pan Hui1,2.   

Abstract

The outbreak of Covid-19 changed the world as well as human behavior. In this article, we study the impact of Covid-19 on smartphone usage. We gather smartphone usage records from a global data collection platform called Carat, including the usage of mobile users in North America from November 2019 to April 2020. We then conduct the first study on the differences in smartphone usage across the outbreak of Covid-19. We discover that Covid-19 leads to a decrease in users' smartphone engagement and network switches, but an increase in WiFi usage. Also, its outbreak causes new typical diurnal patterns of both memory usage and WiFi usage. Additionally, we investigate the correlations between smartphone usage and daily confirmed cases of Covid-19. The results reveal that memory usage, WiFi usage, and network switches of smartphones have significant correlations, whose absolute values of Pearson coefficients are greater than 0.8. Moreover, smartphone usage behavior has the strongest correlation with the Covid-19 cases occurring after it, which exhibits the potential of inferring outbreak status. By conducting extensive experiments, we demonstrate that for the inference of outbreak stages, both Macro-F1 and Micro-F1 can achieve over 0.8. Our findings explore the values of smartphone usage data for fighting against the epidemic.

Entities:  

Keywords:  Correlations; Covid-19; outbreak stage inference; smartphone usage

Year:  2021        PMID: 35582635      PMCID: PMC8864954          DOI: 10.1109/JIOT.2021.3073864

Source DB:  PubMed          Journal:  IEEE Internet Things J        ISSN: 2327-4662            Impact factor:   10.238


  14 in total

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Review 3.  Using social and behavioural science to support COVID-19 pandemic response.

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4.  The COVID-19 epidemic.

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6.  JUE Insight: Measuring movement and social contact with smartphone data: a real-time application to COVID-19.

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7.  Effective containment explains subexponential growth in recent confirmed COVID-19 cases in China.

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  2 in total

1.  Mobile Device Usage before and during the COVID-19 Pandemic among Rural and Urban Adults.

Authors:  Livia Jonnatan; Cherisse L Seaton; Kathy L Rush; Eric P H Li; Khalad Hasan
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2.  Factors affecting young customers' smartphone purchase intention during Covid-19 pandemic.

Authors:  Md Rakibul Hafiz Khan Rakib; Shah Alam Kabir Pramanik; Md Al Amran; Md Nurnobi Islam; Md Omar Faruk Sarker
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  2 in total

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