tetano
Editor, Senior Moderator
Sci Rep
. 2023 Jan 3;13(1):115.
doi: 10.1038/s41598-022-27322-4.
Novel indicator for the spread of new coronavirus disease 2019 and its association with human mobility in Japan
Yuta Kawakami[SUP] 1 2 [/SUP], Shuko Nojiri[SUP] 3 4 5 [/SUP], Daisuke Nakamoto[SUP] 6 [/SUP], Yoshiki Irie[SUP] 1 7 [/SUP], Satoshi Miyazawa[SUP] 8 [/SUP], Manabu Kuroki[SUP] 9 [/SUP], Yuji Nishizaki[SUP] 1 10 6 11 [/SUP]
Affiliations
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 Jan 3;13(1):115.
doi: 10.1038/s41598-022-27322-4.
Novel indicator for the spread of new coronavirus disease 2019 and its association with human mobility in Japan
Yuta Kawakami[SUP] 1 2 [/SUP], Shuko Nojiri[SUP] 3 4 5 [/SUP], Daisuke Nakamoto[SUP] 6 [/SUP], Yoshiki Irie[SUP] 1 7 [/SUP], Satoshi Miyazawa[SUP] 8 [/SUP], Manabu Kuroki[SUP] 9 [/SUP], Yuji Nishizaki[SUP] 1 10 6 11 [/SUP]
Affiliations
- PMID: 36596837
- DOI: 10.1038/s41598-022-27322-4
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.