Applying fixed point methods and fractional operators in the modelling of novel coronavirus 2019-nCoV/SARS-CoV-2

This study aims to discuss the prevalence of COVID-19 in U.S, Italy, Spain, France and China, where the virus spreads most rapidly and causes tragic outcomes. Thereafter, we present new insights of existence and uniqueness solutions of the 2019-nCoV models via fractional and fractal-fractional opera...

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Detalles Bibliográficos
Autor principal: Panda, Sumati Kumari
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7536175/
https://www.ncbi.nlm.nih.gov/pubmed/33042771
http://dx.doi.org/10.1016/j.rinp.2020.103433
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author Panda, Sumati Kumari
author_facet Panda, Sumati Kumari
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description This study aims to discuss the prevalence of COVID-19 in U.S, Italy, Spain, France and China, where the virus spreads most rapidly and causes tragic outcomes. Thereafter, we present new insights of existence and uniqueness solutions of the 2019-nCoV models via fractional and fractal-fractional operators by using fixed point methods.
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spelling pubmed-75361752020-10-06 Applying fixed point methods and fractional operators in the modelling of novel coronavirus 2019-nCoV/SARS-CoV-2 Panda, Sumati Kumari Results Phys Article This study aims to discuss the prevalence of COVID-19 in U.S, Italy, Spain, France and China, where the virus spreads most rapidly and causes tragic outcomes. Thereafter, we present new insights of existence and uniqueness solutions of the 2019-nCoV models via fractional and fractal-fractional operators by using fixed point methods. The Author(s). Published by Elsevier B.V. 2020-12 2020-10-06 /pmc/articles/PMC7536175/ /pubmed/33042771 http://dx.doi.org/10.1016/j.rinp.2020.103433 Text en © 2020 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Panda, Sumati Kumari
Applying fixed point methods and fractional operators in the modelling of novel coronavirus 2019-nCoV/SARS-CoV-2
title Applying fixed point methods and fractional operators in the modelling of novel coronavirus 2019-nCoV/SARS-CoV-2
title_full Applying fixed point methods and fractional operators in the modelling of novel coronavirus 2019-nCoV/SARS-CoV-2
title_fullStr Applying fixed point methods and fractional operators in the modelling of novel coronavirus 2019-nCoV/SARS-CoV-2
title_full_unstemmed Applying fixed point methods and fractional operators in the modelling of novel coronavirus 2019-nCoV/SARS-CoV-2
title_short Applying fixed point methods and fractional operators in the modelling of novel coronavirus 2019-nCoV/SARS-CoV-2
title_sort applying fixed point methods and fractional operators in the modelling of novel coronavirus 2019-ncov/sars-cov-2
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7536175/
https://www.ncbi.nlm.nih.gov/pubmed/33042771
http://dx.doi.org/10.1016/j.rinp.2020.103433
work_keys_str_mv AT pandasumatikumari applyingfixedpointmethodsandfractionaloperatorsinthemodellingofnovelcoronavirus2019ncovsarscov2

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