Multiwave COVID-19 Prediction from Social Awareness Using Web Search and Mobility Data

Xue, Jiawei; Yabe, Takahiro; Tsubouchi, Kota; Ma, Jianzhu; Ukkusuri, Satish V.

doi:10.1145/3534678.3539172

Cited by 8 publications

(1 citation statement)

References 32 publications

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“…Studies of mobility change based on web-based questionnaires can reveal detailed changes in mobility characteristics over a specific period 8,15,23 while studies using mobile phone data can reveal sequential mobility changes. Although there are multiple sources of mobile data used to study mobility change 9,18,21,24,25 , mobile spatial statistics (MSS) data 26 are commonly used in Japan 10,14,19,20,22 . MSS data are population statistics created from the operational data of mobile terminal networks provided by NTT docomo, which is the largest carrier in Japan, holding 37.5% of mobile phone contracts 10 .…”

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Sustaining self-restraint until the middle of the COVID-19 pandemic in Tokyo

Ishii

Hayakawa

Chikaraishi

2022

Sci Rep

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We analyzed time-series changes in people’s purpose-specific mobility characteristics owing to the COVID-19 pandemic in the Tokyo area of Japan, where only legally non-binding requests for self-restraint were enforced. A multiple regression analysis was conducted with the objective variable being the mobile population in the Tokyo area per 500 m square grid estimated from mobile spatial statistical data for 2 years from 10/01/2019 to 9/30/2021. This study period ranges from pre- to mid-pandemic. The explanatory variable was the number of buildings by type per 500 m square grid obtained from building statistical data to determine behavioral changes by mobility purpose. The analysis revealed that self-restraint was sustained until the middle of the COVID-19 pandemic in the Tokyo area regardless of the purpose of mobility and whether a state of emergency was declared.

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