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      Qualitative analysis of a mathematical model with presymptomatic individuals and two SARS-CoV-2 variants

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          Abstract

          The SARS-CoV-2 continues to spread across the world. During this COVID-19 pandemic, several variants of the SARS-CoV-2 have been found. Some of these new variants like the VOC-202012/01 of lineage B.1.1.7 or the most recently B.1.617 emerging in India have a higher infectiousness than those previously prevalent. We propose a mathematical model based on ordinary differential equations to investigate potential consequences of the appearance of a new more transmissible SARS-CoV-2 strain in a given region. The proposed mathematical model incorporates the presymptomatic and asymptomatic subpopulations in addition to the more usual susceptible, exposed, infected, and recovered subpopulations. This is important from a realistic point of view since it has been found recently that presymptomatic and asymptomatic individuals are relevant spreaders of the SARS-CoV-2. Using the next-generation matrix method, we find the basic reproduction number, \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\mathcal {R}}_{0}$$\end{document} , an important threshold parameter that provides insight regarding the evolution and outcome of a certain instance of the COVID-19 pandemic. The local and global stability of system equilibria are also presented. In particular, for the global stability we construct a Lyapunov functional and use the LaSalle invariant principle to prove that if the basic reproduction ratio is less than unity, the infection-free equilibrium is globally asymptotically stable. On the other hand, if \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\mathcal {R}}_{0}>1$$\end{document} the endemic equilibrium is globally asymptotically stable. Finally, we present numerical simulations to numerically support the analytic results and to show the impact of the introduction of a new more contagious SARS-CoV-2 variant in a population.

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          Tracking changes in SARS-CoV-2 Spike: evidence that D614G increases infectivity of the COVID-19 virus

          Summary A SARS-CoV-2 variant carrying the Spike protein amino acid change D614G has become the most prevalent form in the global pandemic. Dynamic tracking of variant frequencies revealed a recurrent pattern of G614 increase at multiple geographic levels: national, regional and municipal. The shift occurred even in local epidemics where the original D614 form was well established prior to the introduction of the G614 variant. The consistency of this pattern was highly statistically significant, suggesting that the G614 variant may have a fitness advantage. We found that the G614 variant grows to higher titer as pseudotyped virions. In infected individuals G614 is associated with lower RT-PCR cycle thresholds, suggestive of higher upper respiratory tract viral loads, although not with increased disease severity. These findings illuminate changes important for a mechanistic understanding of the virus, and support continuing surveillance of Spike mutations to aid in the development of immunological interventions.
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            Presumed Asymptomatic Carrier Transmission of COVID-19

            This study describes possible transmission of novel coronavirus disease 2019 (COVID-19) from an asymptomatic Wuhan resident to 5 family members in Anyang, a Chinese city in the neighboring province of Hubei.
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              The impact of mutations in SARS-CoV-2 spike on viral infectivity and antigenicity

              Summary The spike protein of SARS-CoV-2 has been undergoing mutations and is highly glycosylated. It is critically important to investigate the biological significance of these mutations. Here we investigated 80 variants and 26 glycosylation site modifications for the infectivity and reactivity to a panel of neutralizing antibodies and sera from convalescent patients. D614G, along with several variants containing both D614G and another amino acid change, were significantly more infectious. Most variants with amino acid change at receptor binding domain were less infectious but variants including A475V, L452R, V483A and F490L became resistant to some neutralizing antibodies. Moreover, the majority of glycosylation deletions were less infectious whilst deletion of both N331 and N343 glycosylation drastically reduced infectivity, revealing the importance of glycosylation for viral infectivity. Interestingly, N234Q was markedly resistant to neutralizing antibodies, whereas N165Q became more sensitive. These findings could be of value in the development of vaccine and therapeutic antibodies.
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                Author and article information

                Contributors
                Gilberto.GonzalezParra@nmt.edu
                aarenas@correo.unicordoba.edu.co
                Journal
                Comp. Appl. Math.
                Computational and Applied Mathematics
                Springer International Publishing (Cham )
                2238-3603
                1807-0302
                31 July 2021
                2021
                : 40
                : 6
                : 199
                Affiliations
                [1 ]GRID grid.39679.32, ISNI 0000 0001 0724 9501, Department of Mathematics, , New Mexico Tech, ; Socorro, New Mexico USA
                [2 ]GRID grid.441929.3, ISNI 0000 0004 0486 6602, Departamento de Matemáticas y Estadística, , Universidad de Córdoba, ; Montería, Colombia
                Author notes

                Communicated by Juan Carlos Cortes.

                Author information
                http://orcid.org/0000-0001-5847-678X
                Article
                1592
                10.1007/s40314-021-01592-6
                8325548
                41ac1730-e3b2-47d6-9bcf-c426a665a6f1
                © SBMAC - Sociedade Brasileira de Matemática Aplicada e Computacional 2021

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 18 May 2021
                : 1 July 2021
                : 22 July 2021
                Funding
                Funded by: INBRE-NM
                Award ID: P20GM103451
                Award Recipient :
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                © SBMAC - Sociedade Brasileira de Matemática Aplicada e Computacional 2021

                sars-cov-2 variant,global stability analysis,mathematical modeling,basic reproduction number

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