Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/95444
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Applied Mathematics | en_US |
dc.creator | Zhao, S | en_US |
dc.creator | Musa, SS | en_US |
dc.creator | Chong, MKC | en_US |
dc.creator | Ran, J | en_US |
dc.creator | Javanbakht, M | en_US |
dc.creator | Han, L | en_US |
dc.creator | Wang, K | en_US |
dc.creator | Hussaini, N | en_US |
dc.creator | Habib, AG | en_US |
dc.creator | Wang, MH | en_US |
dc.creator | He, D | en_US |
dc.date.accessioned | 2022-09-19T02:00:57Z | - |
dc.date.available | 2022-09-19T02:00:57Z | - |
dc.identifier.issn | 2047-2978 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/95444 | - |
dc.language.iso | en | en_US |
dc.publisher | The University of Edinburgh * Global Health Society | en_US |
dc.rights | © 2021 The Author(s) JoGH © 2021 ISoGH | en_US |
dc.rights | This 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.rights | The 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.title | The co-circulating transmission dynamics of SARS-CoV-2 Alpha and Eta variants in Nigeria : a retrospective modeling study of COVID-19 | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 11 | en_US |
dc.identifier.doi | 10.7189/jogh.11.05028 | en_US |
dcterms.abstract | Background 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.abstract | Methods: 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.abstract | Results 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.abstract | Conclusions 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.accessRights | open access | en_US |
dcterms.bibliographicCitation | Journal of global health, 2021, v. 11, 5028 | en_US |
dcterms.isPartOf | Journal of global health | en_US |
dcterms.issued | 2021 | - |
dc.identifier.scopus | 2-s2.0-85124306017 | - |
dc.identifier.pmid | 35136591 | - |
dc.identifier.ros | 2021002538 | - |
dc.identifier.eissn | 2047-2986 | en_US |
dc.identifier.artn | 5028 | en_US |
dc.description.validate | 202209 bchy | en_US |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | CDCF_2021-2022 | - |
dc.description.fundingSource | RGC | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | SJTU 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 Kong | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 66556525 | - |
dc.description.oaCategory | CC | en_US |
Appears in Collections: | Journal/Magazine Article |
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Zhao_co-circulating_transmission_dynamics.pdf | 1.22 MB | Adobe PDF | View/Open |
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