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Title: A simple model to estimate the transmissibility of the Beta, Delta, and Omicron variants of SARS-COV-2 in South Africa
Authors: Yu, Y 
Liu, Y 
Zhao, S
He, D 
Issue Date: 2022
Source: Mathematical biosciences and engineering, 2022, v. 19, no. 10, p. 10361-10373
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.
Keywords: COVID-19
SARS-COV-2
Beta variant
Delta variant
Omicron variant
Mathematical modelling
South Africa
Publisher: American Institute of Mathematical Sciences
Journal: Mathematical biosciences and engineering 
ISSN: 1547-1063
EISSN: 1551-0018
DOI: 10.3934/mbe.2022485
Rights: © 2022 the Author(s), licensee AIMS Press.
This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
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.
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