Impact of domestic travel restrictions on transmission of COVID-19 infection using public transportation network approach

Abstract The international spread of COVID-19 infection has attracted global attention, but the impact of local or domestic travel restriction on public transportation network remains unclear. Passenger volume data for the domestic public transportation network in Japan and the time at which the fir...

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Main Authors: Yayoi Murano, Ryo Ueno, Shoi Shi, Takayuki Kawashima, Yuta Tanoue, Shiori Tanaka, Shuhei Nomura, Hiromichi Shoji, Toshiaki Shimizu, Huy Nguyen, Hiroaki Miyata, Stuart Gilmour, Daisuke Yoneoka
Format: Article
Language:English
Published: Nature Publishing Group 2021-02-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-81806-3
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spelling doaj-74ad84cb16f446bcb5d8de16e98c76b22021-02-07T12:33:17ZengNature Publishing GroupScientific Reports2045-23222021-02-011111910.1038/s41598-021-81806-3Impact of domestic travel restrictions on transmission of COVID-19 infection using public transportation network approachYayoi Murano0Ryo Ueno1Shoi Shi2Takayuki Kawashima3Yuta Tanoue4Shiori Tanaka5Shuhei Nomura6Hiromichi Shoji7Toshiaki Shimizu8Huy Nguyen9Hiroaki Miyata10Stuart Gilmour11Daisuke Yoneoka12Division of Biostatistics and Bioinformatics, Graduate School of Public Health, St. Luke’s International University, OMURA Susumu and Mieko Memorial, St. Luke’s Center for Clinical AcademiaThe Australian and New Zealand Intensive Care Research CentreGraduate School of Medicine, The University of TokyoDepartment of Mathematical and Computing Science, Tokyo Institute of TechnologyInstitute for Business and Finance, Waseda UniversityEpidemiology and Prevention Group, Center for Public Health Sciences, National Cancer CenterGraduate School of Medicine, The University of TokyoDepartment of Paediatrics and Adolescents, Juntendo UniversityDepartment of Paediatrics and Adolescents, Juntendo UniversityDivision of Biostatistics and Bioinformatics, Graduate School of Public Health, St. Luke’s International University, OMURA Susumu and Mieko Memorial, St. Luke’s Center for Clinical AcademiaDepartment of Health Policy and Management, School of Medicine, Keio UniversityDivision of Biostatistics and Bioinformatics, Graduate School of Public Health, St. Luke’s International University, OMURA Susumu and Mieko Memorial, St. Luke’s Center for Clinical AcademiaDivision of Biostatistics and Bioinformatics, Graduate School of Public Health, St. Luke’s International University, OMURA Susumu and Mieko Memorial, St. Luke’s Center for Clinical AcademiaAbstract The international spread of COVID-19 infection has attracted global attention, but the impact of local or domestic travel restriction on public transportation network remains unclear. Passenger volume data for the domestic public transportation network in Japan and the time at which the first confirmed COVID-19 case was observed in each prefecture were extracted from public data sources. A survival approach in which a hazard was modeled as a function of the closeness centrality on the network was utilized to estimate the risk of importation of COVID-19 in each prefecture. A total of 46 prefectures with imported cases were identified. Hypothetical scenario analyses indicated that both strategies of locking down the metropolitan areas and restricting domestic airline travel would be equally effective in reducing the risk of importation of COVID-19. While caution is necessary that the data were limited to June 2020 when the pandemic was in its initial stage and that no other virus spreading routes have been considered, domestic travel restrictions were effective to prevent the spread of COVID-19 on public transportation network in Japan. Instead of lockdown that might seriously damage the economy, milder travel restrictions could have the similar impact on controlling the domestic transmission of COVID-19.https://doi.org/10.1038/s41598-021-81806-3
collection DOAJ
language English
format Article
sources DOAJ
author Yayoi Murano
Ryo Ueno
Shoi Shi
Takayuki Kawashima
Yuta Tanoue
Shiori Tanaka
Shuhei Nomura
Hiromichi Shoji
Toshiaki Shimizu
Huy Nguyen
Hiroaki Miyata
Stuart Gilmour
Daisuke Yoneoka
spellingShingle Yayoi Murano
Ryo Ueno
Shoi Shi
Takayuki Kawashima
Yuta Tanoue
Shiori Tanaka
Shuhei Nomura
Hiromichi Shoji
Toshiaki Shimizu
Huy Nguyen
Hiroaki Miyata
Stuart Gilmour
Daisuke Yoneoka
Impact of domestic travel restrictions on transmission of COVID-19 infection using public transportation network approach
Scientific Reports
author_facet Yayoi Murano
Ryo Ueno
Shoi Shi
Takayuki Kawashima
Yuta Tanoue
Shiori Tanaka
Shuhei Nomura
Hiromichi Shoji
Toshiaki Shimizu
Huy Nguyen
Hiroaki Miyata
Stuart Gilmour
Daisuke Yoneoka
author_sort Yayoi Murano
title Impact of domestic travel restrictions on transmission of COVID-19 infection using public transportation network approach
title_short Impact of domestic travel restrictions on transmission of COVID-19 infection using public transportation network approach
title_full Impact of domestic travel restrictions on transmission of COVID-19 infection using public transportation network approach
title_fullStr Impact of domestic travel restrictions on transmission of COVID-19 infection using public transportation network approach
title_full_unstemmed Impact of domestic travel restrictions on transmission of COVID-19 infection using public transportation network approach
title_sort impact of domestic travel restrictions on transmission of covid-19 infection using public transportation network approach
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2021-02-01
description Abstract The international spread of COVID-19 infection has attracted global attention, but the impact of local or domestic travel restriction on public transportation network remains unclear. Passenger volume data for the domestic public transportation network in Japan and the time at which the first confirmed COVID-19 case was observed in each prefecture were extracted from public data sources. A survival approach in which a hazard was modeled as a function of the closeness centrality on the network was utilized to estimate the risk of importation of COVID-19 in each prefecture. A total of 46 prefectures with imported cases were identified. Hypothetical scenario analyses indicated that both strategies of locking down the metropolitan areas and restricting domestic airline travel would be equally effective in reducing the risk of importation of COVID-19. While caution is necessary that the data were limited to June 2020 when the pandemic was in its initial stage and that no other virus spreading routes have been considered, domestic travel restrictions were effective to prevent the spread of COVID-19 on public transportation network in Japan. Instead of lockdown that might seriously damage the economy, milder travel restrictions could have the similar impact on controlling the domestic transmission of COVID-19.
url https://doi.org/10.1038/s41598-021-81806-3
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