Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/99618
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Applied Mathematics | en_US |
| dc.creator | Yu, Y | en_US |
| dc.creator | Liu, Y | en_US |
| dc.creator | Zhao, S | en_US |
| dc.creator | He, D | en_US |
| dc.date.accessioned | 2023-07-18T03:11:41Z | - |
| dc.date.available | 2023-07-18T03:11:41Z | - |
| dc.identifier.issn | 1547-1063 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10397/99618 | - |
| dc.language.iso | en | en_US |
| dc.publisher | American Institute of Mathematical Sciences | en_US |
| dc.rights | © 2022 the Author(s), licensee AIMS Press. | en_US |
| dc.rights | This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0) | en_US |
| dc.rights | The following publication Yangyang Yu, Yuan Liu, Shi Zhao, Daihai He. A simple model to estimate the transmissibility of the Beta, Delta, and Omicron variants of SARS-COV-2 in South Africa[J]. Mathematical Biosciences and Engineering, 2022, 19(10): 10361-10373 is available at https://doi.org/10.3934/mbe.2022485. | en_US |
| dc.subject | COVID-19 | en_US |
| dc.subject | SARS-COV-2 | en_US |
| dc.subject | Beta variant | en_US |
| dc.subject | Delta variant | en_US |
| dc.subject | Omicron variant | en_US |
| dc.subject | Mathematical modelling | en_US |
| dc.subject | South Africa | en_US |
| dc.title | A simple model to estimate the transmissibility of the Beta, Delta, and Omicron variants of SARS-COV-2 in South Africa | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.spage | 10361 | en_US |
| dc.identifier.epage | 10373 | en_US |
| dc.identifier.volume | 19 | en_US |
| dc.identifier.issue | 10 | en_US |
| dc.identifier.doi | 10.3934/mbe.2022485 | en_US |
| dcterms.abstract | The COVID-19 pandemic caused multiple waves of mortality in South Africa, where three genetic variants of SARS-COV-2 and their ancestral strain dominated consecutively. State-of-the-art mathematical modeling approach was used to estimate the time-varying transmissibility of SARS-COV-2 and the relative transmissibility of Beta, Delta, and Omicron variants. The transmissibility of the three variants were about 73%, 87%, and 276% higher than their preceding variants. To the best of our knowledge, our model is the first simple model that can simulate multiple mortality waves and three variants' replacements in South Africa. The transmissibility of the Omicron variant is substantially higher than that of previous variants. | en_US |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Mathematical biosciences and engineering, 2022, v. 19, no. 10, p. 10361-10373 | en_US |
| dcterms.isPartOf | Mathematical biosciences and engineering | en_US |
| dcterms.issued | 2022 | - |
| dc.identifier.scopus | 2-s2.0-85135086258 | - |
| dc.identifier.pmid | 36031998 | - |
| dc.identifier.eissn | 1551-0018 | en_US |
| dc.description.validate | 202307 bcch | en_US |
| dc.description.oa | Version of Record | en_US |
| dc.identifier.FolderNumber | OA_Scopus/WOS | - |
| dc.description.fundingSource | RGC | en_US |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | Otto Poon Charitable Foundation | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.description.oaCategory | CC | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Yu_Simple_Model_Estimate.pdf | 582.47 kB | Adobe PDF | View/Open |
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