On-site Dining in Tokyo During the COVID-19 Pandemic: Time Series Analysis Using Mobile Phone Location Data.

Miharu Nakanishi Ryosuke Shibasaki Syudo Yamasaki Satoshi Miyazawa Satoshi Usami Mitsushi Okazawa Atsushi Nishida

Published in: JMIR mHealth and uHealth (2021)

The nighttime population started to increase after decreasing incidence of COVID-19 was announced. Considering time lags between infection and behavior changes, social measures should be planned in advance of the surge of an epidemic, sufficiently informed by mobility data.

Keyphrases

electronic health record
coronavirus disease
sars cov
big data
healthcare
mental health
risk factors