Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/97661
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dc.contributorDepartment of Applied Mathematicsen_US
dc.creatorLuo, Gen_US
dc.creatorZhang, Xen_US
dc.creatorZheng, Hen_US
dc.creatorHe, Den_US
dc.date.accessioned2023-03-09T07:42:24Z-
dc.date.available2023-03-09T07:42:24Z-
dc.identifier.issn1201-9712en_US
dc.identifier.urihttp://hdl.handle.net/10397/97661-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2021 The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)en_US
dc.rightsThe following publication Luo, G., Zhang, X., Zheng, H., & He, D. (2021). Infection fatality ratio and case fatality ratio of COVID-19. International Journal of Infectious Diseases, 113, 43-46 is available at https://doi.org/10.1016/j.ijid.2021.10.004en_US
dc.subjectCase fatality rateen_US
dc.subjectInfection fatality ratioen_US
dc.subjectRT-PCRen_US
dc.subjectSerological surveyen_US
dc.titleInfection fatality ratio and case fatality ratio of COVID-19en_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage43en_US
dc.identifier.epage46en_US
dc.identifier.volume113en_US
dc.identifier.doi10.1016/j.ijid.2021.10.004en_US
dcterms.abstractThe infection fatality ratio (IFR) is the risk of death per infection and is one of the most important epidemiological parameters. Enormous efforts have been undertaken to estimate the IFR for COVID-19. This study examined the pros and cons of several approaches. It is found that the frequently used approaches using serological survey results as the denominator and the number of confirmed deaths as the numerator underestimated the true IFR. The most typical examples are South Africa and Peru (before official correction), where the confirmed deaths are one-third of the excess deaths. We argue that the RT-PCR-based case fatality ratio (CFR) is a reliable indicator of the lethality of COVID-19 in locations where testing is extensive. An accurate IFR is crucial for policymaking and public-risk perception.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationInternational Journal of Infectious Diseases, Dec. 2021, v. 113, p. 43-46en_US
dcterms.isPartOfInternational journal of infectious diseasesen_US
dcterms.issued2021-12-
dc.identifier.isiWOS:000718302600004-
dc.identifier.scopus2-s2.0-85118112584-
dc.identifier.pmid34628024-
dc.description.validate202303 bcwwen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOS-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of China, NSFC: 11905120, 11947416; Research Grants Council, University Grants Committee, 研究資助局: HKU C7123-20Gen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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