2021
DOI: 10.1038/s41598-021-97170-1
|View full text |Cite
|
Sign up to set email alerts
|

Simulating the impacts of interregional mobility restriction on the spatial spread of COVID-19 in Japan

Abstract: A spatial susceptible–exposed–infectious–recovered (SEIR) model is developed to analyze the effects of restricting interregional mobility on the spatial spread of the coronavirus disease 2019 (COVID-19) infection in Japan. National and local governments have requested that residents refrain from traveling between prefectures during the state of emergency. However, the extent to which restricting interregional mobility prevents infection expansion is unclear. The spatial SEIR model describes the spatial spread … Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
20
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 16 publications
(21 citation statements)
references
References 46 publications
0
20
0
Order By: Relevance
“…A great number of people commute between different prefectures in the Tokyo Megalopolis Region, which promotes the spatial transmission of COVID-19 across prefectures. Massive inter-prefectural commuting also leads to different population compositions in each prefecture in the daytime and nighttime, so we separated the transmission equations into two parts inspired by Pei et al, 2018 , Kondo, 2021 .…”
Section: Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…A great number of people commute between different prefectures in the Tokyo Megalopolis Region, which promotes the spatial transmission of COVID-19 across prefectures. Massive inter-prefectural commuting also leads to different population compositions in each prefecture in the daytime and nighttime, so we separated the transmission equations into two parts inspired by Pei et al, 2018 , Kondo, 2021 .…”
Section: Methodsmentioning
confidence: 99%
“…Note that we treat inter-prefectural random visitors in the same way as inter-prefectural commuters for the sake of simplicity. Additionally, the spatial distribution of infectious individuals affects the risk of infection in each prefecture ( Kondo, 2021 ). The number of presymptomatic infectious, undocumented infectious, documented infectious individuals in prefecture j during the daytime on day t , denoted as , , and , respectively, can be estimated as , , and , and the population in prefecture j during the daytime is .…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The third wave (Period 2) of COVID-19 in Nagasaki Prefecture started in early December 2020, roughly 1 month later than in prefectures with big cities like Tokyo, Osaka, and Fukuoka [ 30 ], even though the local and national governments requested residents to avoid unnecessary travel between prefectures, especially those from prefectures with high infection risk. Mild restrictions policies, however, could not restrain the disease transmission because interregional mobility speeded up infection’s geographical expansion from urban prefectures with numerous infectious people to rural prefectures [ 31 ]. A “Go-To” campaign to encourage travel and dining out started on July 22, 2020, and a consecutive New Year’s Day (Fig.…”
Section: Discussionmentioning
confidence: 99%
“…As for Japan, the government implemented a stay-at-home policy without penalties[ 9 , 10 ] and requested various facilities, including restaurants/bars, to either temporarily close their businesses or shorten their business hours. In particular, the Japanese government asked its people to stay at home and focused on closing businesses that had clusters of COVID-19 before the first emergency declaration.…”
Section: Introductionmentioning
confidence: 99%