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

ABSTRACT: 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 wit

SUBMITTER: Yabe T 

PROVIDER: S-EPMC7581808 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature