Abstract

Several variants of the SARS-CoV-2 virus have been detected during the COVID-19 pandemic. Some of these new variants have been of health public concern due to their higher infectiousness. We propose a theoretical mathematical model based on differential equations to study the effect of introducing a new, more transmissible SARS-CoV-2 variant in a population. The mathematical model is formulated in such a way that it takes into account the higher transmission rate of the new SARS-CoV-2 strain and the subpopulation of asymptomatic carriers. We find the basic reproduction number using the method of the next generation matrix. This threshold parameter is crucial since it indicates what parameters play an important role in the outcome of the COVID-19 pandemic. We study the local stability of the infection-free and endemic equilibrium states, which are potential outcomes of a pandemic. Moreover, by using a suitable Lyapunov functional and the LaSalle invariant principle, it is proved that if the basic reproduction number is less than unity, the infection-free equilibrium is globally asymptotically stable. Our study shows that the new more transmissible SARS-CoV-2 variant will prevail and the prevalence of the preexistent variant would decrease and eventually disappear. We perform numerical simulations to support the analytic results and to show some effects of a new more transmissible SARS-CoV-2 variant in a population.

Highlights

  • The world is suffering one of the worst pandemics in history

  • The mathematical model is formulated in such a way that it takes into account the higher transmission rate of the new SARS-CoV-2 variant and the asymptomatic individuals

  • The paper is organized as follows: in Section 2, we present the mathematical model of SARS-CoV-2 transmission and disease progression and some preliminary results about the positivity of the solutions

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Summary

Introduction

The world is suffering one of the worst pandemics in history. The spread of the SARSCoV-2 virus started at the end of the year 2019 and has affected the whole world from a variety of points of view. Several variants of the SARS-CoV-2 virus have been discovered and some of these new SARS-CoV-2 variants have been of concern due to their higher transmissibility [12,13,14,15,16,17,18] These new more transmissible SARS-CoV-2 variants can have a great impact on the number of infected cases, prevalence, hospitalizations and deaths. Agent-based models might be more suitable, but have the difficulty of a greater number of parameters and uncertainties Another advantage of the differential equation model is that it allows for mathematical analysis over the long term, which provides useful insight into the short term, as well.

Mathematical Model of SARS-CoV-2 Spread
Mathematical Stability Analysis
Equilibrium Points and R0
Local Stability of Disease-Free Equilibrium Point
Global Stability of Disease-Free Equilibrium Point
Global Stability of New SARS-CoV-2 Variant Endemic Point
Numerical Simulation Results
Conclusions
Numerical
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