1. Novel indicator for the spread of new coronavirus disease 2019 and its association with human mobility in Japan.
- Author
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Kawakami Y, Nojiri S, Nakamoto D, Irie Y, Miyazawa S, Kuroki M, and Nishizaki Y
- Subjects
- Humans, Japan epidemiology, Pandemics prevention & control, SARS-CoV-2, Tokyo, COVID-19 epidemiology
- Abstract
The Japanese government adopted policies to control human mobility in 2020 to prevent the spread of severe acute respiratory syndrome coronavirus 2, which causes coronavirus disease 2019 (COVID-19). The present study examined the impact of human mobility on COVID-19 cases at the prefectural level in Japan by devising an indicator to have a relationship between the number of infected people and on human mobility. We calculated origin-destination travel mobility within prefectures in Japan from March 1st to December 31st, 2020, using mobile phone data. A cross-correlation function (CCF) was used to examine the relationship between human mobility and a COVID-19 infection acceleration indicator (IAI), which represents the rate of change in the speed of COVID-19 infection. The CCF of intraprefectural human mobility and the IAI in Tokyo showed a maximum value of 0.440 at lag day 12, and the IAI could be used as an indicator to predict COVID-19 cases. Therefore, the IAI and human mobility during the COVID-19 pandemic were useful for predicting infection status. The number of COVID-19 cases was associated with human mobility at the prefectural level in Japan in 2020. Controlling human mobility could help control infectious diseases in a pandemic, especially prior to starting vaccination., (© 2023. The Author(s).)
- Published
- 2023
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