Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/91511
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dc.contributorDepartment of Applied Mathematicsen_US
dc.contributorSchool of Nursingen_US
dc.creatorDu, Pen_US
dc.creatorCao, Pen_US
dc.creatorYan, Xen_US
dc.creatorHe, Den_US
dc.creatorZhang, Xen_US
dc.creatorChen, Wen_US
dc.creatorLuo, Jen_US
dc.creatorZeng, Zen_US
dc.creatorChen, Yen_US
dc.creatorYang, Len_US
dc.creatorYang, Sen_US
dc.creatorFeng, Xen_US
dc.date.accessioned2021-11-03T06:54:17Z-
dc.date.available2021-11-03T06:54:17Z-
dc.identifier.issn0266-4763en_US
dc.identifier.urihttp://hdl.handle.net/10397/91511-
dc.language.isoenen_US
dc.publisherRoutledge, Taylor & Francis Groupen_US
dc.rights© 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Groupen_US
dc.rightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.en_US
dc.rightsThe following publication Du, P., Cao, P., Yan, X., He, D., Zhang, X., Chen, W., ... & Feng, X. (2021). A continuous age-specific standardized mortality ratio for estimating the unascertained rates in the early epidemic of COVID-19 in different regions. Journal of Applied Statistics, 1-14 is available at https://doi.org/10.1080/02664763.2021.1947995en_US
dc.subjectAge-specificen_US
dc.subjectCase fatality rateen_US
dc.subjectCOVID-19en_US
dc.subjectNonlinear logistic modelen_US
dc.subjectStandardized mortality ratioen_US
dc.titleA continuous age-specific standardized mortality ratio for estimating the unascertained rates in the early epidemic of COVID-19 in different regionsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage2504en_US
dc.identifier.epage2517en_US
dc.identifier.volume50en_US
dc.identifier.issue11-12en_US
dc.identifier.doi10.1080/02664763.2021.1947995en_US
dcterms.abstractThe difference in age structure and aging population level was an important factor that caused the difference in COVID-19’s case fatality rate (CFR) in various regions. To eliminate the age effect on estimating the CFR of COVID-19, our study applied nonlinear logistic model and maximum likelihood method to fit the age-fatality curves of COVID-19 in different countries and regions. We further computed the standardized mortality ratio from the age-fatality curves of COVID-19 in the above regions and found that the risk of COVID-19 death in Wuhan was of a moderate level, while the non-Hubei region was even lower, compared with other regions. Regarding the disparity of CFRs among different regions in the country, we believed that there might be an unascertained phenomenon in high-endemic regions. Based on age-fatality rate curves, we estimated unascertained rates in cities with severe epidemics such as Wuhan and New York, and it was found that the total unascertained rates in Wuhan and New York were 81.6% and 81.2%, respectively. Meanwhile, we also found that the unascertained rates varied greatly with age.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of applied statistics, 2023, v. 50, no. 11-12, p. 2504-2517en_US
dcterms.isPartOfJournal of applied statisticsen_US
dcterms.issued2023-
dc.identifier.scopus2-s2.0-85110073711-
dc.description.validate202110 bcvcen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOS-
dc.description.pubStatusPublisheden_US
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