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      Forecasting the Effects of the New SARS-CoV-2 Variant in Europe

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      1 , 2 ,
      The Scientific World Journal
      Hindawi

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          Abstract

          Due to the emergence of a new SARS-CoV-2 variant, we use a previous model to simulate the behaviour of this new SARS-CoV-2 variant. The analysis and simulations are performed for Europe, in order to provide a global analysis of the pandemic. In this context, numerical results are obtained in the first 100 days of the pandemic assuming an infectivity of 70%, 56%, and 35%, respectively, higher for the new SAR-CoV-2 variant, as compared with the real data.

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          Mathematical Modeling of COVID-19 Transmission Dynamics with a Case Study of Wuhan

          We propose a compartmental mathematical model for the spread of the COVID-19 disease with special focus on the transmissibility of super-spreaders individuals. We compute the basic reproduction number threshold, we study the local stability of the disease free equilibrium in terms of the basic reproduction number, and we investigate the sensitivity of the model with respect to the variation of each one of its parameters. Numerical simulations show the suitability of the proposed COVID-19 model for the outbreak that occurred in Wuhan, China.
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            The urgent need for integrated science to fight COVID-19 pandemic and beyond

            The COVID-19 pandemic has become the leading societal concern. The pandemic has shown that the public health concern is not only a medical problem, but also affects society as a whole; so, it has also become the leading scientific concern. We discuss in this treatise the importance of bringing the world’s scientists together to find effective solutions for controlling the pandemic. By applying novel research frameworks, interdisciplinary collaboration promises to manage the pandemic’s consequences and prevent recurrences of similar pandemics.
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              SARS-CoV-2 exhibits intra-host genomic plasticity and low-frequency polymorphic quasispecies

              Highlights • SARS-CoV-2 exhibits intra-host small- and large-scale genomic variability • SNVs are collocalized with probes and primers used in molecular diagnostic assays • SARS-CoV-2 Spike (S) gene host a potential recombination hot-spot
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                Author and article information

                Contributors
                Journal
                ScientificWorldJournal
                ScientificWorldJournal
                tswj
                The Scientific World Journal
                Hindawi
                2356-6140
                1537-744X
                2021
                4 May 2021
                : 2021
                : 5553240
                Affiliations
                1Universidade de Vigo, Departamento de Matemática Aplicada II, E.E. Aeronáutica e do Espazo, Campus As Lagoas-Ourense, Ourense 32004, Spain
                2Instituto de Matemáticas, Universidade de Santiago de Compostela, Santiago de Compostela 15782, Spain
                Author notes

                Academic Editor: Giuliano Ramadori

                Author information
                https://orcid.org/0000-0003-0872-5017
                https://orcid.org/0000-0001-8202-6578
                Article
                10.1155/2021/5553240
                8106412
                aece008a-c937-4323-8459-492b6e2af79a
                Copyright © 2021 Iván Area and Juan J. Nieto.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 9 February 2021
                : 26 April 2021
                Funding
                Funded by: Agencia Estatal de Investigación (AEI) of Spain
                Award ID: MTM2016-75140-P
                Funded by: European Regional Development Fund
                Funded by: Instituto de Salud Carlos III
                Award ID: COV20/00617
                Funded by: Xunta de Galicia
                Award ID: ED431C 2019/02
                Categories
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