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A Study on Herd Immunity of COVID-19 in South Korea: Using a Stochastic Economic-Epidemiological Model

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dc.contributor.authorPark, Hojeong-
dc.contributor.authorKim, Songhee H.-
dc.date.accessioned2021-08-30T18:50:17Z-
dc.date.available2021-08-30T18:50:17Z-
dc.date.created2021-06-18-
dc.date.issued2020-08-
dc.identifier.issn0924-6460-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/54314-
dc.description.abstractVaccination is an effective measure to control the diffusion of infectious disease such as COVID-19. This paper analyzes the basic reproduction number in South Korea which enables us to identify a necessary level of vaccine stockpile to achieve herd immunity. An susceptible-infected-susceptible model is adopted that allows a stochastic diffusion. The result shows that the basic reproduction number of South Korea is approximately 2 which is substantially lower than those of the other regions. The herd immunity calculated from economic-epidemiological model suggests that at least 62% of the susceptible population be vaccinated when COVID-19 vaccine becomes available.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherSPRINGER-
dc.titleA Study on Herd Immunity of COVID-19 in South Korea: Using a Stochastic Economic-Epidemiological Model-
dc.typeArticle-
dc.contributor.affiliatedAuthorPark, Hojeong-
dc.identifier.doi10.1007/s10640-020-00439-8-
dc.identifier.scopusid2-s2.0-85087841587-
dc.identifier.wosid000548160400001-
dc.identifier.bibliographicCitationENVIRONMENTAL & RESOURCE ECONOMICS, v.76, no.4, pp.665 - 670-
dc.relation.isPartOfENVIRONMENTAL & RESOURCE ECONOMICS-
dc.citation.titleENVIRONMENTAL & RESOURCE ECONOMICS-
dc.citation.volume76-
dc.citation.number4-
dc.citation.startPage665-
dc.citation.endPage670-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassssci-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaBusiness & Economics-
dc.relation.journalResearchAreaEnvironmental Sciences & Ecology-
dc.relation.journalWebOfScienceCategoryEconomics-
dc.relation.journalWebOfScienceCategoryEnvironmental Studies-
dc.subject.keywordAuthorCOVID-19-
dc.subject.keywordAuthorVaccination stockpile-
dc.subject.keywordAuthorSIS-
dc.subject.keywordAuthorStochastic disease-
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