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The Impact of Covid-19 on Smartphone Usage

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...

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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IEEE 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8864954/
https://www.ncbi.nlm.nih.gov/pubmed/35582635
http://dx.doi.org/10.1109/JIOT.2021.3073864
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description 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.
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spelling pubmed-88649542022-05-13 The Impact of Covid-19 on Smartphone Usage IEEE Internet Things J Article 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. IEEE 2021-04-16 /pmc/articles/PMC8864954/ /pubmed/35582635 http://dx.doi.org/10.1109/JIOT.2021.3073864 Text en This article is free to access and download, along with rights for full text and data mining, re-use and analysis.
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The Impact of Covid-19 on Smartphone Usage
title The Impact of Covid-19 on Smartphone Usage
title_full The Impact of Covid-19 on Smartphone Usage
title_fullStr The Impact of Covid-19 on Smartphone Usage
title_full_unstemmed The Impact of Covid-19 on Smartphone Usage
title_short The Impact of Covid-19 on Smartphone Usage
title_sort impact of covid-19 on smartphone usage
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8864954/
https://www.ncbi.nlm.nih.gov/pubmed/35582635
http://dx.doi.org/10.1109/JIOT.2021.3073864
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