Non-compulsory measures sufficiently reduced human mobility in Tokyo during the COVID-19 epidemic

While large scale mobility data has become a popular tool to monitor the mobility patterns during the COVID-19 pandemic, the impacts of non-compulsory measures in Tokyo, Japan on human mobility patterns has been under-studied. Here, we analyze the temporal changes in human mobility behavior, social...

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Vydáno v:Scientific reports Ročník 10; číslo 1; s. 18053 - 9
Hlavní autoři: Yabe, Takahiro, Tsubouchi, Kota, Fujiwara, Naoya, Wada, Takayuki, Sekimoto, Yoshihide, Ukkusuri, Satish V.
Médium: Journal Article
Jazyk:angličtina
Vydáno: London Nature Publishing Group UK 22.10.2020
Nature Publishing Group
Nature Portfolio
Témata:
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692/699
704/844/1759
Behavior
Betacoronavirus - isolation & purification
Cell Phone Use - statistics & numerical data
Coronavirus Infections - epidemiology
Coronavirus Infections - pathology
Coronavirus Infections - virology
Coronaviruses
COVID-19
Humanities and Social Sciences
Humans
Mobility
Movement - physiology
multidisciplinary
Pandemics
Pneumonia, Viral - epidemiology
Pneumonia, Viral - pathology
Pneumonia, Viral - virology
SARS-CoV-2
Science
Science (multidisciplinary)
Social behavior
Time Factors
Tokyo - epidemiology
Tokyo
ISSN:2045-2322, 2045-2322
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Shrnutí:While large scale mobility data has become a popular tool to monitor the mobility patterns during the COVID-19 pandemic, the impacts of non-compulsory measures in Tokyo, Japan on human mobility patterns has been under-studied. Here, we analyze the temporal changes in human mobility behavior, social contact rates, and their correlations with the transmissibility of COVID-19, using mobility data collected from more than 200K anonymized mobile phone users in Tokyo. The analysis concludes that by April 15th (1 week into state of emergency), human mobility behavior decreased by around 50%, resulting in a 70% reduction of social contacts in Tokyo, showing the strong relationships with non-compulsory measures. Furthermore, the reduction in data-driven human mobility metrics showed correlation with the decrease in estimated effective reproduction number of COVID-19 in Tokyo. Such empirical insights could inform policy makers on deciding sufficient levels of mobility reduction to contain the disease.
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ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-020-75033-5