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  1. 010 学術雑誌論文
  2. 01 研究員発表論文
  3. 八島, 健太 / YASHIMA, Kenta
  1. 010 学術雑誌論文
  2. 佐々木, 顕 / SASAKI, Akira

Spotting Epidemic Keystones by R0 Sensitivity Analysis: High-Risk Stations in the Tokyo Metropolitan Area.

https://ir.soken.ac.jp/records/5525
https://ir.soken.ac.jp/records/5525
eca5e035-8608-416f-82c3-dd7ad2fa6f38
名前 / ファイル ライセンス アクション
0162406file.pdf 本文 / Article (2.2 MB)
license.icon
Item type 学術雑誌論文 / Journal Article(1)
公開日 2017-02-10
タイトル
タイトル Spotting Epidemic Keystones by R0 Sensitivity Analysis: High-Risk Stations in the Tokyo Metropolitan Area.
タイトル
言語 en
タイトル Spotting Epidemic Keystones by R0 Sensitivity Analysis: High-Risk Stations in the Tokyo Metropolitan Area.
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
著者 YASHIMA, Kenta

× YASHIMA, Kenta

WEKO 6794

YASHIMA, Kenta

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SASAKI, Akira

× SASAKI, Akira

WEKO 6795

SASAKI, Akira

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著者別名 YASHIMA, Kenta

× YASHIMA, Kenta

WEKO 6796

YASHIMA, Kenta

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SASAKI, Akira

× SASAKI, Akira

WEKO 6797

SASAKI, Akira

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著者注記
Kenta, Yashima:Department of Evolutionary Studies of Biosystems, the Graduate University for Advanced Studies (SOKENDAI) *(Research Fellow)
著者注記
Akira, Sasaki:Department of Evolutionary Studies of Biosystems, the Graduate University for Advanced Studies (SOKENDAI) *(Professor)
抄録
内容記述タイプ Abstract
内容記述 How can we identify the epidemiologically high-risk communities in a metapopulation network? The network centrality measure, which quantifies the relative importance of each location, is commonly utilized for this purpose. As the disease invasion condition is given from the basic reproductive ratio R0, we have introduced a novel centrality measure based on the sensitivity analysis of this R0 and shown its capability of revealing the characteristics that has been overlooked by the conventional centrality measures. The epidemic dynamics over the commute network of the Tokyo metropolitan area is theoretically analyzed by using this centrality measure. We found that, the impact of countermeasures at the largest station is more than 1,000 times stronger compare to that at the second largest station, even though the population sizes are only around 1.5 times larger. Furthermore, the effect of countermeasures at every station is strongly dependent on the existence and the number of commuters to this largest station. It is well known that the hubs are the most influential nodes, however, our analysis shows that only the largest among the network plays an extraordinary role. Lastly, we also found that, the location that is important for the prevention of disease invasion does not necessarily match the location that is important for reducing the number of infected.
書誌情報 PLoS ONE
en : PLoS ONE

巻 11, 号 9, p. e0162406 (pp19), 発行日 2016-09-08
雑誌情報
Publication Start Year : 2006
雑誌情報
Frequency : Monthly
雑誌情報
A Peer-Reviewed, Open Access Journal, Electronic only
出版者
出版者 Public Library of Science / San Francisco, CA
Online ISSN
収録物識別子タイプ ISSN
収録物識別子 1932-6203
PubMed番号
関連タイプ isIdenticalTo
識別子タイプ PMID
関連識別子 27607239
PMC番号
PMC5015857
DOI
関連タイプ isIdenticalTo
識別子タイプ DOI
関連識別子 http://dx.doi.org/10.1371/journal.pone.0162406
関連名称 10.1371/journal.pone.0162406 <PLoS ONE Open Access Full Text>
権利
権利情報 © 2016 Yashima, Sasaki. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. | http://journals.plos.org/plosone/s/licenses-and-copyright
関連サイト
識別子タイプ URI
関連識別子 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5015857/
関連名称 Article <PMC Free Full text>
関連サイト
識別子タイプ URI
関連識別子 https://www.ncbi.nlm.nih.gov/pmc/journals/440/
関連名称 Archive of PLoS ONE <PMC Journal List>
関連サイト
識別子タイプ URI
関連識別子 http://journals.plos.org/plosone/s/journal-information
関連名称 About PLoS ONE <Public Library of Science>
著者版フラグ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
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