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Metapopulation model using commuting flow for national spread of the 2009 H1N1 influenza virus in the Republic of Korea

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dc.contributor.authorLee, Jonggul-
dc.contributor.authorChoi, Bo Youl-
dc.contributor.authorJung, Eunok-
dc.date.accessioned2022-07-11T07:26:19Z-
dc.date.available2022-07-11T07:26:19Z-
dc.date.issued2018-10-
dc.identifier.issn0022-5193-
dc.identifier.issn1095-8541-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/149278-
dc.description.abstractWe study the spatial-temporal pattern of the spread of the 2009 H1N1 influenza virus using a metapopulation model linked by commuting flow based on the reported influenza cases during the early stages of the epidemic in the Republic of Korea. The spatial heterogeneities, such as the local reproductive number and peak time, are investigated at province level. Furthermore, we discuss the effect of early intervention strategies, isolation and commuting restrictions, on the reduction of incidence at each province level. A major finding of this study is that early intervention at the source area of infection is more effective than interventions at the commuting-hub areas if the cost is limited.-
dc.format.extent10-
dc.language영어-
dc.language.isoENG-
dc.publisherAcademic Press-
dc.titleMetapopulation model using commuting flow for national spread of the 2009 H1N1 influenza virus in the Republic of Korea-
dc.typeArticle-
dc.publisher.location영국-
dc.identifier.doi10.1016/j.jtbi.2018.06.016-
dc.identifier.scopusid2-s2.0-85049354663-
dc.identifier.wosid000442708400030-
dc.identifier.bibliographicCitationJournal of Theoretical Biology, v.454, pp 320 - 329-
dc.citation.titleJournal of Theoretical Biology-
dc.citation.volume454-
dc.citation.startPage320-
dc.citation.endPage329-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasssci-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaLife Sciences & Biomedicine - Other Topics-
dc.relation.journalResearchAreaMathematical & Computational Biology-
dc.relation.journalWebOfScienceCategoryBiology-
dc.relation.journalWebOfScienceCategoryMathematical & Computational Biology-
dc.subject.keywordPlusPANDEMIC INFLUENZA-
dc.subject.keywordPlusEPIDEMIC MODEL-
dc.subject.keywordPlusA H1N1-
dc.subject.keywordPlusDISEASE TRANSMISSION-
dc.subject.keywordPlusINFECTION-
dc.subject.keywordPlusTRANSPORTATION-
dc.subject.keywordPlusINTERVENTIONS-
dc.subject.keywordPlusENVIRONMENT-
dc.subject.keywordPlusPREDICTION-
dc.subject.keywordPlusOUTBREAKS-
dc.subject.keywordAuthorH1N1-
dc.subject.keywordAuthorInfluenza-
dc.subject.keywordAuthorMetapopulation model-
dc.subject.keywordAuthorCommuting-
dc.subject.keywordAuthorIntervention-
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S0022519318303114?via%3Dihub-
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서울 의과대학 > 서울 예방의학교실 > 1. Journal Articles

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