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Article: Methods for estimating the case fatality ratio for a novel, emerging infectious disease

TitleMethods for estimating the case fatality ratio for a novel, emerging infectious disease
Authors
KeywordsCase-fatality ratio
Kaplan-Meier estimator
SARS virus
Survival analysis
Issue Date2005
PublisherOxford University Press. The Journal's web site is located at http://aje.oxfordjournals.org/
Citation
American Journal Of Epidemiology, 2005, v. 162 n. 5, p. 479-486 How to Cite?
AbstractDuring the course of an epidemic of a potentially fatal disease, it is important that the case fatality ratio be well estimated. The authors propose a novel method for doing so based on the Kaplan-Meier survival procedure, jointly considering two outcomes (death and recovery), and evaluate its performance by using data from the 2003 epidemic of severe acute respiratory syndrome in Hong Kong, People's Republic of China. They compare this estimate obtained at various points in the epidemic with the case fatality ratio eventually observed; with two commonly quoted, naïve estimates derived from cumulative incidence and mortality statistics at single time points; and with estimates in which a parametric mixture model is used. They demonstrate the importance of patient characteristics regarding outcome by analyzing subgroups defined by age at admission to the hospital. Copyright © 2005 by the Johns Hopkins Bloomberg School of Public Health. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/86828
ISSN
2023 Impact Factor: 5.0
2023 SCImago Journal Rankings: 0.837
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorGhani, ACen_HK
dc.contributor.authorDonnelly, CAen_HK
dc.contributor.authorCox, DRen_HK
dc.contributor.authorGriffin, JTen_HK
dc.contributor.authorFraser, Cen_HK
dc.contributor.authorLam, THen_HK
dc.contributor.authorHo, LMen_HK
dc.contributor.authorChan, WSen_HK
dc.contributor.authorAnderson, RMen_HK
dc.contributor.authorHedley, AJen_HK
dc.contributor.authorLeung, GMen_HK
dc.date.accessioned2010-09-06T09:21:49Z-
dc.date.available2010-09-06T09:21:49Z-
dc.date.issued2005en_HK
dc.identifier.citationAmerican Journal Of Epidemiology, 2005, v. 162 n. 5, p. 479-486en_HK
dc.identifier.issn0002-9262en_HK
dc.identifier.urihttp://hdl.handle.net/10722/86828-
dc.description.abstractDuring the course of an epidemic of a potentially fatal disease, it is important that the case fatality ratio be well estimated. The authors propose a novel method for doing so based on the Kaplan-Meier survival procedure, jointly considering two outcomes (death and recovery), and evaluate its performance by using data from the 2003 epidemic of severe acute respiratory syndrome in Hong Kong, People's Republic of China. They compare this estimate obtained at various points in the epidemic with the case fatality ratio eventually observed; with two commonly quoted, naïve estimates derived from cumulative incidence and mortality statistics at single time points; and with estimates in which a parametric mixture model is used. They demonstrate the importance of patient characteristics regarding outcome by analyzing subgroups defined by age at admission to the hospital. Copyright © 2005 by the Johns Hopkins Bloomberg School of Public Health. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherOxford University Press. The Journal's web site is located at http://aje.oxfordjournals.org/en_HK
dc.relation.ispartofAmerican Journal of Epidemiologyen_HK
dc.rightsAmerican Journal of Epidemiology. Copyright © Oxford University Press.en_HK
dc.subjectCase-fatality ratio-
dc.subjectKaplan-Meier estimator-
dc.subjectSARS virus-
dc.subjectSurvival analysis-
dc.subject.meshCommunicable Diseases, Emerging - mortalityen_HK
dc.subject.meshFemaleen_HK
dc.subject.meshHong Kong - epidemiologyen_HK
dc.subject.meshHumansen_HK
dc.subject.meshIncidenceen_HK
dc.subject.meshMaleen_HK
dc.subject.meshModels, Statisticalen_HK
dc.subject.meshSevere Acute Respiratory Syndrome - mortalityen_HK
dc.subject.meshSurvival Analysisen_HK
dc.titleMethods for estimating the case fatality ratio for a novel, emerging infectious diseaseen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0002-9262&volume=162&spage=479&epage=486&date=2005&atitle=Methods+for+estimating+the+case+fatality+ratio+for+a+novel,+emerging+infectious+diseaseen_HK
dc.identifier.emailLam, TH:hrmrlth@hkucc.hku.hken_HK
dc.identifier.emailHo, LM:lmho@hkucc.hku.hken_HK
dc.identifier.emailHedley, AJ:hrmrajh@hkucc.hku.hken_HK
dc.identifier.emailLeung, GM:gmleung@hku.hken_HK
dc.identifier.authorityLam, TH=rp00326en_HK
dc.identifier.authorityHo, LM=rp00360en_HK
dc.identifier.authorityHedley, AJ=rp00357en_HK
dc.identifier.authorityLeung, GM=rp00460en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1093/aje/kwi230en_HK
dc.identifier.pmid16076827-
dc.identifier.scopuseid_2-s2.0-23944439187en_HK
dc.identifier.hkuros108306en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-23944439187&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume162en_HK
dc.identifier.issue5en_HK
dc.identifier.spage479en_HK
dc.identifier.epage486en_HK
dc.identifier.isiWOS:000231363800012-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridGhani, AC=7006814439en_HK
dc.identifier.scopusauthoridDonnelly, CA=35468127900en_HK
dc.identifier.scopusauthoridCox, DR=7403238965en_HK
dc.identifier.scopusauthoridGriffin, JT=25635814500en_HK
dc.identifier.scopusauthoridFraser, C=35460815100en_HK
dc.identifier.scopusauthoridLam, TH=7202522876en_HK
dc.identifier.scopusauthoridHo, LM=7402955625en_HK
dc.identifier.scopusauthoridChan, WS=7403918736en_HK
dc.identifier.scopusauthoridAnderson, RM=7408244444en_HK
dc.identifier.scopusauthoridHedley, AJ=7102584095en_HK
dc.identifier.scopusauthoridLeung, GM=7007159841en_HK
dc.identifier.citeulike300855-
dc.identifier.issnl0002-9262-

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