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Efficiency of prompt quarantine measures on a susceptible-infected-removed model in networks

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Title: Efficiency of prompt quarantine measures on a susceptible-infected-removed model in networks
Authors: Hasegawa, Takehisa Browse this author
Nemoto, Koji Browse this author →KAKEN DB
Issue Date: 11-Aug-2017
Publisher: American Physical Society (APS)
Journal Title: Physical review e
Volume: 96
Issue: 2
Start Page: 22311
Publisher DOI: 10.1103/PhysRevE.96.022311
PMID: 28950549
Abstract: This study focuses on investigating the manner in which a prompt quarantine measure suppresses epidemics in networks. A simple and ideal quarantine measure is considered in which an individual is detected with a probability immediately after it becomes infected and the detected one and its neighbors are promptly isolated. The efficiency of this quarantine in suppressing a susceptible-infected-removed (SIR) model is tested in random graphs and uncorrelated scale-free networks. Monte Carlo simulations are used to show that the prompt quarantine measure outperforms random and acquaintance preventive vaccination schemes in terms of reducing the number of infected individuals. The epidemic threshold for the SIR model is analytically derived under the quarantine measure, and the theoretical findings indicate that prompt executions of quarantines are highly effective in containing epidemics. Even if infected individuals are detected with a very low probability, the SIR model under a prompt quarantine measure has finite epidemic thresholds in fat-tailed scale-free networks in which an infected individual can always cause an outbreak of a finite relative size without any measure. The numerical simulations also demonstrate that the present quarantine measure is effective in suppressing epidemics in real networks.
Rights: ©2017 American Physical Society
Type: article
URI: http://hdl.handle.net/2115/67179
Appears in Collections:理学院・理学研究院 (Graduate School of Science / Faculty of Science) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

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