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A new study of unreported cases of 2019-nCOV epidemic outbreaks

2019-nCOV epidemic is one of the greatest threat that the mortality faced since the World War-2 and most decisive global health calamity of the century. In this manuscript, we study the epidemic prophecy for the novel coronavirus (2019-nCOV) epidemic in Wuhan, China by using q-homotopy analysis tran...

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Autores principales: Gao, Wei, Veeresha, P., Baskonus, Haci Mehmet, Prakasha, D. G., Kumar, Pushpendra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7834535/
https://www.ncbi.nlm.nih.gov/pubmed/33519103
http://dx.doi.org/10.1016/j.chaos.2020.109929
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author Gao, Wei
Veeresha, P.
Baskonus, Haci Mehmet
Prakasha, D. G.
Kumar, Pushpendra
author_facet Gao, Wei
Veeresha, P.
Baskonus, Haci Mehmet
Prakasha, D. G.
Kumar, Pushpendra
author_sort Gao, Wei
collection PubMed
description 2019-nCOV epidemic is one of the greatest threat that the mortality faced since the World War-2 and most decisive global health calamity of the century. In this manuscript, we study the epidemic prophecy for the novel coronavirus (2019-nCOV) epidemic in Wuhan, China by using q-homotopy analysis transform method (q-HATM). We considered the reported case data to parameterise the model and to identify the number of unreported cases. A new analysis with the proposed epidemic 2019-nCOV model for unreported cases is effectuated. For the considered system exemplifying the model of coronavirus, the series solution is established within the frame of the Caputo derivative. The developed results are explained using figures which show the behaviour of the projected model. The results show that the used scheme is highly emphatic and easy to implementation for the system of nonlinear equations. Further, the present study can confirm the applicability and effect of fractional operators to real-world problems.
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spelling pubmed-78345352021-01-26 A new study of unreported cases of 2019-nCOV epidemic outbreaks Gao, Wei Veeresha, P. Baskonus, Haci Mehmet Prakasha, D. G. Kumar, Pushpendra Chaos Solitons Fractals Article 2019-nCOV epidemic is one of the greatest threat that the mortality faced since the World War-2 and most decisive global health calamity of the century. In this manuscript, we study the epidemic prophecy for the novel coronavirus (2019-nCOV) epidemic in Wuhan, China by using q-homotopy analysis transform method (q-HATM). We considered the reported case data to parameterise the model and to identify the number of unreported cases. A new analysis with the proposed epidemic 2019-nCOV model for unreported cases is effectuated. For the considered system exemplifying the model of coronavirus, the series solution is established within the frame of the Caputo derivative. The developed results are explained using figures which show the behaviour of the projected model. The results show that the used scheme is highly emphatic and easy to implementation for the system of nonlinear equations. Further, the present study can confirm the applicability and effect of fractional operators to real-world problems. Elsevier Ltd. 2020-09 2020-06-08 /pmc/articles/PMC7834535/ /pubmed/33519103 http://dx.doi.org/10.1016/j.chaos.2020.109929 Text en © 2020 Elsevier Ltd. All rights reserved. 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
Gao, Wei
Veeresha, P.
Baskonus, Haci Mehmet
Prakasha, D. G.
Kumar, Pushpendra
A new study of unreported cases of 2019-nCOV epidemic outbreaks
title A new study of unreported cases of 2019-nCOV epidemic outbreaks
title_full A new study of unreported cases of 2019-nCOV epidemic outbreaks
title_fullStr A new study of unreported cases of 2019-nCOV epidemic outbreaks
title_full_unstemmed A new study of unreported cases of 2019-nCOV epidemic outbreaks
title_short A new study of unreported cases of 2019-nCOV epidemic outbreaks
title_sort new study of unreported cases of 2019-ncov epidemic outbreaks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7834535/
https://www.ncbi.nlm.nih.gov/pubmed/33519103
http://dx.doi.org/10.1016/j.chaos.2020.109929
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