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The Impact of COVID-19 Confinement on Regional Mobility of Spatial-Temporal Social Networks

Published: 16 November 2020 Publication History

Abstract

Over the past few months, COVID-19 has emerged to the world as a new threat to humanity and communities, expanding from a few small infected cities to hundreds of countries around the world impacting businesses, education, economics, and almost every activity associated with human life. This had led many researchers and scientists to analyze and study different factors and variables that obtain timely information on the outbreak of COVID-19. One of the main factors that helped in spreading the corona-virus is human mobility. Since detailed information about human movement during outbreaks are difficult to obtain, social networks comes as an alternative with its massive volume of publicly available data. In this research, we propose mobility detection and identification of social media's spatio-temporal data, as a proxy for human mobility. We aim to discover and explore an in-depth level of mobility data extracted from social media applications to uncover the relation between COVID-19 spread and daily mobility ratio in Kuwait regional area. With the use of the latest mobility data extracted from Twitter users, we have shown that user mobility is linked to the positive cases of COVID-19, with a relatively high correlation coefficient. Moreover, we have analyzed and discussed how the impact of COVID-19 affected user behavior and mobility habits.

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Cited By

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  • (2022)A Hybrid CNN and GRU-based Spatial-temporal Marburg Virus Disease Hotspot Association Mining for Health Management in Kenya2022 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI)10.1109/ICDSAAI55433.2022.10028852(1-6)Online publication date: 8-Dec-2022
  • (2021)Hierarchical Models for Detecting Mobility Clusters during COVID-19Proceedings of the 19th ACM International Symposium on Mobility Management and Wireless Access10.1145/3479241.3486690(43-51)Online publication date: 22-Nov-2021

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  1. The Impact of COVID-19 Confinement on Regional Mobility of Spatial-Temporal Social Networks

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        cover image ACM Conferences
        MobiWac '20: Proceedings of the 18th ACM Symposium on Mobility Management and Wireless Access
        November 2020
        148 pages
        ISBN:9781450381192
        DOI:10.1145/3416012
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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        Published: 16 November 2020

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        Author Tags

        1. COVID-19
        2. mobility
        3. social media
        4. spatio-temporal data

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        • (2022)A Hybrid CNN and GRU-based Spatial-temporal Marburg Virus Disease Hotspot Association Mining for Health Management in Kenya2022 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI)10.1109/ICDSAAI55433.2022.10028852(1-6)Online publication date: 8-Dec-2022
        • (2021)Hierarchical Models for Detecting Mobility Clusters during COVID-19Proceedings of the 19th ACM International Symposium on Mobility Management and Wireless Access10.1145/3479241.3486690(43-51)Online publication date: 22-Nov-2021

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