Dynamics of simultaneous propagation of two COVID-19 strains

In this work, we present a mathematical framework that captures the dynamic behavior of the simultaneous propagation of two strains of COVID-19. We apply the next-generation matrix method to compute the basic reproduction ratio $\mathscr{R}_{0}$ . We investigate the stability of the model at each of the feasible equilibria. To validate our theoretical results, we have conducted numerical simulations. It is observed that if $\mathscr{R}_{0} \leq 1$ , eventually there will be no disease. However, if $\mathscr{R}_{0} > 1$ , a competition between the two COVID-19 strains will occur, and the more infectious variant will survive while the other disappears.

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Publication Details

Journal
Advances in Continuous and Discrete Models
Published
2025-02-10
DOI
https://doi.org/10.1186/s13662-025-03901-3
Citations
3
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
4.10
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article

Dynamics of simultaneous propagation of two COVID-19 strains

Kaushik Dehingia, Homan Emadifar, Hemanta Sarmah, Padma Bhushan Borah
3 citations
Advances in Continuous and Discrete Models
COVID-19 epidemiological studies
4.10
article

Dynamics of simultaneous propagation of two COVID-19 strains

Kaushik Dehingia, Homan Emadifar, Hemanta Sarmah, Padma Bhushan Borah
article en
3 citations

Abstract

In this work, we present a mathematical framework that captures the dynamic behavior of the simultaneous propagation of two strains of COVID-19. We apply the next-generation matrix method to compute the basic reproduction ratio $\mathscr{R}_{0}$ . We investigate the stability of the model at each of the feasible equilibria. To validate our theoretical results, we have conducted numerical simulations. It is observed that if $\mathscr{R}_{0} \leq 1$ , eventually there will be no disease. However, if $\mathscr{R}_{0} > 1$ , a competition between the two COVID-19 strains will occur, and the more infectious variant will survive while the other disappears.

Advances in Continuous and Discrete ModelsVol. 2025(1)
Khazar University (AZ), Gauhati University (IN), Islamic Azad University of Hamedan (IR), Cotton University (IN), Hamedan University of Technology (IR), Near East University (CY), Saveetha University (IN)
Openalex Percentile: Top 8%
COVID-19 epidemiological studies
4.10
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