Mobility Patterns in Different Age Groups in Japan during the COVID-19 Pandemic: a Small Area Time Series Analysis through March 2021

被引:17
作者
Nomura, Shuhei [1 ,2 ]
Tanoue, Yuta [1 ,3 ]
Yoneoka, Daisuke [1 ,4 ]
Gilmour, Stuart [4 ]
Kawashima, Takayuki [1 ,5 ]
Eguchi, Akifumi [1 ,6 ]
Miyata, Hiroaki [1 ]
机构
[1] Keio Univ, Sch Med, Dept Hlth Policy & Management, Shinjuku Ku, 35 Shinanomachi, Tokyo 1608582, Japan
[2] Univ Tokyo, Grad Sch Med, Dept Global Hlth Policy, Tokyo, Japan
[3] Waseda Univ, Inst Business & Finance, Tokyo, Japan
[4] St Lukes Int Univ, Grad Sch Publ Hlth, Tokyo, Japan
[5] Tokyo Inst Technol, Dept Math & Comp Sci, Tokyo, Japan
[6] Chiba Univ, Ctr Prevent Med Sci, Chiba, Japan
来源
JOURNAL OF URBAN HEALTH-BULLETIN OF THE NEW YORK ACADEMY OF MEDICINE | 2021年 / 98卷 / 05期
关键词
Japan; COVID-19; Human mobility; Smartphone;
D O I
10.1007/s11524-021-00566-7
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
In the COVID-19 era, movement restrictions are crucial to slow virus transmission and have been implemented in most parts of the world, including Japan. To find new insights on human mobility and movement restrictions encouraged (but not forced) by the emergency declaration in Japan, we analyzed mobility data at 35 major stations and downtown areas in Japan-each defined as an area overlaid by several 125-meter grids-from September 1, 2019 to March 19, 2021. Data on the total number of unique individuals per hour passing through each area were obtained from Yahoo Japan Corporation (i.e., more than 13,500 data points for each area). We examined the temporal trend in the ratio of the rolling seven-day daily average of the total population to a baseline on January 16, 2020, by ten-year age groups in five time frames. We demonstrated that the degree and trend of mobility decline after the declaration of a state of emergency varies across age groups and even at the subregional level. We demonstrated that monitoring dynamic geographic and temporal mobility information stratified by detailed population characteristics can help guide not only exit strategies from an ongoing emergency declaration, but also initial response strategies before the next possible resurgence. Combining such detailed data with data on vaccination coverage and COVID-19 incidence (including the status of the health care delivery system) can help governments and local authorities develop community-specific mobility restriction policies. This could include strengthening incentives to stay home and raising awareness of cognitive errors that weaken people's resolve to refrain from nonessential movement.
引用
收藏
页码:635 / 641
页数:7
相关论文
共 29 条
[1]   Changes in urban mobility in Sapporo city, Japan due to the Covid-19 emergency declarations [J].
Arimura, Mikiharu ;
Ha, Tran Vinh ;
Okumura, Kota ;
Asada, Takumi .
TRANSPORTATION RESEARCH INTERDISCIPLINARY PERSPECTIVES, 2020, 7
[2]   Association between mobility patterns and COVID-19 transmission in the USA: a mathematical modelling study [J].
Badr, Hamada S. ;
Du, Hongru ;
Marshall, Maximilian ;
Dong, Ensheng ;
Squire, Marietta M. ;
Gardner, Lauren M. .
LANCET INFECTIOUS DISEASES, 2020, 20 (11) :1247-1254
[3]  
Cabinet Secretariat, COVID 19 INF RES DAS
[4]  
Chinazzi M, 2020, SCIENCE, V368, P395, DOI [10.1126/science.aba9757, 10.1101/2020.02.09.20021261]
[5]   Syndromic surveillance of COVID-19 using crowdsourced data [J].
Desjardins, Michael R. .
LANCET REGIONAL HEALTH-WESTERN PACIFIC, 2020, 4
[6]   The effects of physical distancing on population mobility during the COVID-19 pandemic in the UK [J].
Drake, Thomas M. ;
Docherty, Annemarie B. ;
Weiser, Thomas G. ;
Yule, Steven ;
Sheikh, Aziz ;
Harrison, Ewen M. .
LANCET DIGITAL HEALTH, 2020, 2 (08) :E385-E387
[7]  
Fraiberger S. P., 2020, Uncovering socioeconomic gaps in mobility reduction during the covid-19 pandemic using location data
[8]  
Gauvin L., 2020, SOCIOECONOMIC DETERM
[9]   Cognitive Bias and Public Health Policy During the COVID-19 Pandemic [J].
Halpern, Scott D. ;
Truog, Robert D. ;
Miller, Franklin G. .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2020, 324 (04) :337-338
[10]   Explaining the effective reproduction number of COVID-19 through mobility and enterprise statistics: Evidence from the first wave in Japan [J].
Kajitani, Yoshio ;
Hatayama, Michinori .
PLOS ONE, 2021, 16 (03)