Modeling two-strain COVID-19 infection dynamics with vaccination strategy
Abstract
In this paper, we will study ve dierential equations describing two-strain COVID-19 infection dynamics
with vaccination strategy. The variables of our model will represent the susceptible, the two strain infected
sub-populations and the vaccinated individuals. First, we will study the well-posedness of our model. Next,
we will give the dierent equilibria of our model. After that, we will study the global stability of each
equilibrium. Finally, we will give dierent numerical simulations in order to illustrate the convergence of
the solutions toward the equilibria. In addition, the comparison between the numerical tests and COVID-19
clinical data is conducted.
Keywords: two-strain infection; COVID-19; vaccination; quarantine.
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References
Nikolaou, Michael. ”Revisiting the standard for modeling the spread of infectious diseases.” Scientific reports 12.1 (2022): 1-16.
Kermark, M., and A. Mckendrick. ”Contributions to the mathematical theory of epidemics. Part I.” Proc. r. soc. a 115.5 (1927): 700-721.
Puri, Neha, et al. ”Social media and vaccine hesitancy: new updates for the era of COVID-19 and globalized infectious diseases.” Human vaccines & immunotherapeutics 16.11 (2020): 2586-2593.
Djilali, Salih, and Soufiane Bentout. ”Global dynamics of SVIR epidemic model with distributed delay and imperfect vaccine.” Results in Physics 25 (2021): 104245.
Zhang, Xinhong, and Qing Yang. ”Threshold behavior in a stochastic SVIR model with general incidence rates.” Applied Mathematics Letters 121 (2021): 107403.
Gao, Jianguo, Chao Zhang, and Jinliang Wang. ”Analysis of a reaction–diffusion SVIR model with a fixed latent period and non-local infections.” Applicable Analysis 101.2 (2022): 497-518.
Liu, Xinyu, and Yuting Ding. ”Stability and Numerical Simulations of a New SVIR Model with Two Delays on COVID-19 Booster Vaccination.” Mathematics 10.10 (2022): 1772.
Liu, Qun, and Daqing Jiang. ”Global dynamical behavior of a multigroup SVIR epidemic model with Markovian switching.” International Journal of Biomathematics 15.01 (2022): 2150080.
Seydou, Moussa, and Moussa Tessa. ”Approximations of Quasi-Stationary Distributions of the Stochastic SVIR Model for the Measles.” Journal of Applied Mathematics and Physics 9.9 (2021): 2277-2289.
Oke, M. O., et al. ”On the application of optimal control strategies to a generalized SVIR model.” Journal of Physics: Conference Series. Vol. 1734. No. 1. IOP Publishing, 2021.
Ogunmiloro, Oluwatayo Michael, Fatima Ohunene Abedo, and Hammed Kareem. ”Numerical and stability analysis of the transmission dynamics of SVIR epidemic model with standard incidence rate.” MALAYSIAN JOURNAL OF COMPUTING 4.2 (2019): 349-361.
Ouakka, Abdellah, Abdelhai El Azzouzi, and Zakia Hammouch. ”Global dynamic behavior of a vaccination–age SVIR model with treatment and general nonlinear incidence rate.” Journal of Computational and Applied Mathematics 422 (2023): 114848.
Marchiori, Massimo. ”COVID-19 and the social distancing paradox: Dangers and solutions.” arXiv preprint arXiv:2005.12446 (2020).
World Health Organization. https://covid19.who.int/
Hossain, Md Kamal, Majid Hassanzadeganroudsari, and Vasso Apostolopoulos. ”The emergence of new strains of SARS-CoV-2. What does it mean for COVID-19 vaccines?.” Expert review of vaccines 20.6 (2021): 635-638.
Walker, A. Sarah, et al. ”Tracking the emergence of SARS-CoV-2 alpha variant in the United Kingdom.” New England Journal of Medicine 385.27 (2021): 2582-2585.
Shiehzadegan, Shayan, et al. ”Analysis of the delta variant B. 1.617. 2 COVID-19.” Clinics and Practice 11.4 (2021): 778-784.
Collie, Shirley, et al. ”Effectiveness of BNT162b2 vaccine against omicron variant in South Africa.” New England Journal of Medicine 386.5 (2022): 494-496.
Singh, Pushpendra, and Anubha Gupta. ”Generalized SIR (GSIR) epidemic model: An improved framework for the predictive monitoring of COVID-19 pandemic.” ISA transactions 124 (2022): 31-40.
Nguyen, Tri K., et al. ”Enhancing Covid-19 virus spread modelling using an activity travel model.” Transportation Research Part A: Policy and Practice (2022).
Ghosh, Kalpita, and Asim Kumar Ghosh. ”Study of COVID-19 epidemiological evolution in India with a multi-wave SIR model.” Nonlinear Dynamics (2022): 1-9.
Ghosh, Kalpita, and Asim Kumar Ghosh. ”Study of COVID-19 epidemiological evolution in India with a multi-wave SIR model.” Nonlinear Dynamics (2022): 1-9.
Vega, Roberto, Leonardo Flores, and Russell Greiner. ”SIMLR: Machine Learning inside the SIR model for COVID-19 Forecasting.” Forecasting 4.1 (2022): 72-94.
Cooper, Ian, et al. ”Dynamical analysis of the infection status in diverse communities due to COVID-19 using a modified SIR model.” Nonlinear Dynamics (2022): 1-14.
Fu, Yuting, et al. ”Optimal lockdown policy for vaccination during COVID-19 pandemic.” Finance research letters 45 (2022): 102123.
Bodini, Antonella, et al. ”Underdetection in a stochastic SIR model for the analysis of the COVID-19 Italian epidemic.” Stochastic Environmental Research and Risk Assessment 36.1 (2022): 137-155.
Bandekar, Shraddha Ramdas, and Mini Ghosh. ”Mathematical modeling of COVID-19 in India and its states with optimal control.” Modeling Earth Systems and Environment 8.2 (2022): 2019-2034.
Deniz, U. C¸ . A. R., and Elcin Celik. ”Analysis of Covid 19 disease with SIR model and Taylor matrix method.” AIMS Mathematics 7.6 (2022): 11188-11200.
Majee, Suvankar, et al. ”Complex dynamics of a fractional-order SIR system in the context of COVID-19.” Journal of Applied Mathematics and Computing (2022): 1-24.
Wang, Jiale, et al. ”A modified SIR model for the COVID-19 epidemic in China.” Journal of Physics: Conference Series. Vol. 2148. No. 1. IOP Publishing, 2022.
Tchoumi, S. Y., H. Rwezaura, and J. M. Tchuenche. ”Dynamic of a two-strain COVID-19 model with vaccination.” Results in Physics (2022): 105777.
Martsenyuk, Vasyl, Marcin Bernas, and Aleksandra Klos-Witkowska. ”Two-strain COVID-19 model using delayed dynamic system and big data.” Ieee Access 9 (2021): 113866-113878.
de Leon, Ugo Avila-Ponce, Eric Avila-Vales, and Kuan-lin Huang. ”Modeling COVID-19 dynamic using a two-strain model with vaccination.” Chaos, Solitons & Fractals 157 (2022): 111927.
Yuliani, Endang, et al. ”On the Modeling of COVID-19 Transmission Dynamics with Two Strains: Insight through Caputo Fractional Derivative.” Fractal and Fractional 6.7 (2022): 346.
Amine, Saida, and Karam Allali. ”Dynamics of a time-delayed two-strain epidemic model with general incidence rates.” Chaos, Solitons & Fractals 153 (2021): 111527.
Yaagoub, Zakaria, Jaouad Danane, and Karam Allali. ”Global Stability Analysis of Two-Strain SEIR Epidemic Model with Quarantine Strategy.” Nonlinear Dynamics and Complexity: Mathematical Modelling of Real-World Problems. Cham: Springer International Publishing, 2022. 469-493.
Yaagoub, Zakaria, and Karam Allali. ”Global Stability of Multi-Strain SEIR Epidemic Model with Vaccination Strategy.” Mathematical and Computational Applications 28.1 (2023): 9.
Baba, Isa Abdullahi, and Evren Hincal. ”Global stability analysis of two-strain epidemic model with bilinear and non-monotone incidence rates.” The European Physical Journal Plus 132.5 (2017): 1-10.
Isa Abdullahi Baba, Evren Hincal and Sultan Hamed Khalifa Alsaadi, Global stability analysis of a two-strain model with awareness, Advances in Di erential Equations and Control Processes, 19(2)(2018), 83-100.
Dounia Bentaleb, Saida Amine, Lyapunov function and global stability for a two-strain SEIR model with bilinear and nonmonotone incidence, International Journal of Biomathematics 2019; 12(2): 1950021.
Meskaf, Adil, et al. ”Global stability analysis of a two-strain epidemic model with non-monotone incidence rates.” Chaos, Solitons & Fractals 133 (2020): 109647.
Statistics of Moroccan Health Ministry on COVID-19. https://www.sante.gov.ma/
Yaagoub, Zakaria, and Karam Allali. ”Fractional HBV infection model with both cell-to-cell and virus-to-cell transmissions and adaptive immunity.” Chaos, Solitons & Fractals 165 (2022): 112855.
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