Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/95444
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dc.contributorDepartment of Applied Mathematicsen_US
dc.creatorZhao, Sen_US
dc.creatorMusa, SSen_US
dc.creatorChong, MKCen_US
dc.creatorRan, Jen_US
dc.creatorJavanbakht, Men_US
dc.creatorHan, Len_US
dc.creatorWang, Ken_US
dc.creatorHussaini, Nen_US
dc.creatorHabib, AGen_US
dc.creatorWang, MHen_US
dc.creatorHe, Den_US
dc.date.accessioned2022-09-19T02:00:57Z-
dc.date.available2022-09-19T02:00:57Z-
dc.identifier.issn2047-2978en_US
dc.identifier.urihttp://hdl.handle.net/10397/95444-
dc.language.isoenen_US
dc.publisherThe University of Edinburgh * Global Health Societyen_US
dc.rights© 2021 The Author(s) JoGH © 2021 ISoGHen_US
dc.rightsThis open access article is distributed under Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/legalcode)en_US
dc.rightsThe following publication Zhao S, Musa SS, Chong MKC, Ran J, Javanbakht M, Han L, Wang K, Hussaini N, Habib AG, Wang MH, He D. The co-circulating transmission dynamics of SARS-CoV-2 Alpha and Eta variants in Nigeria: A retrospective modeling study of COVID-19. J Glob Health 2021;11:05028 is available at https://doi.org/10.7189/JOGH.11.05028.en_US
dc.titleThe co-circulating transmission dynamics of SARS-CoV-2 Alpha and Eta variants in Nigeria : a retrospective modeling study of COVID-19en_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume11en_US
dc.identifier.doi10.7189/jogh.11.05028en_US
dcterms.abstractBackground The COVID-19 pandemic poses serious threats to public health globally, and the emerging mutations in SARS-CoV-2 genomes has become one of the major challenges of disease control. In the second epidemic wave in Nigeria, the roles of co-circulating SARS-CoV-2 Alpha (ie, B.1.1.7) and Eta (ie, B.1.525) variants in contributing to the epidemiological outcomes were of public health concerns for investigation.en_US
dcterms.abstractMethods: We developed a mathematical model to capture the transmission dynamics of different types of strains in Nigeria. By fitting to the national-wide COVID-19 surveillance data, the transmission advantages of SARS-CoV-2 variants were estimated by likelihood-based inference framework.en_US
dcterms.abstractResults The reproduction numbers were estimated to decrease steadily from 1.5 to 0.8 in the second epidemic wave. In December 2020, when both Alpha and Eta variants were at low prevalent levels, their transmission advantages (against the wild type) were estimated at 1.51 (95% credible intervals (CrI) = 1.48, 1.54), and 1.56 (95% CrI = 1.54, 1.59), respectively. In January 2021, when the original variants almost vanished, we estimated a weak but significant transmission advantage of Eta against Alpha variants with 1.14 (95% CrI = 1.11, 1.16).en_US
dcterms.abstractConclusions Our findings suggested evidence of the transmission advantages for both Alpha and Eta variants, of which Eta appeared slightly more infectious than Alpha. We highlighted the critical importance of COVID-19 control measures in mitigating the outbreak size and relaxing the burdens to health care systems in Nigeria.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of global health, 2021, v. 11, 5028en_US
dcterms.isPartOfJournal of global healthen_US
dcterms.issued2021-
dc.identifier.scopus2-s2.0-85124306017-
dc.identifier.pmid35136591-
dc.identifier.ros2021002538-
dc.identifier.eissn2047-2986en_US
dc.identifier.artn5028en_US
dc.description.validate202209 bchyen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberCDCF_2021-2022-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextSJTU Initiation Program for New Youth Teachers; Tianshan Innovative Research Team of Xinjiang Uygur Autonomous Region, China; National Natural Science Foundation of China; Health and Medical Research Fund, the Food and Health Bureau, The Government of the Hong Kong Spe- cial Administrative Region; Chinese University of Hong Kongen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS66556525-
dc.description.oaCategoryCCen_US
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