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.
Authors
- Kaushik Dehingia (ORCID: https://orcid.org/0000-0002-8042-4166)
- Homan Emadifar (ORCID: https://orcid.org/0000-0002-8034-1475)
- Hemanta Sarmah (ORCID: https://orcid.org/0000-0002-9374-9269)
- Padma Bhushan Borah (ORCID: https://orcid.org/0000-0002-9802-1613)
Institutions
- 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)
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