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Multi-zonal transmission dynamics of pandemic COVID-19 and its stability

At the end of 2019, the novel coronavirus (COVID-19) outbreak was identified in Wuhan city of China. Because of its profoundly infectious nature, it was converted into a pandemic in a very short period. Globally, 6,291,764 COVID-19 confirmed cases, and a total of 374,359 deaths are reported as of 1s...

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Autores principales: Shah, Nita H., Suthar, Ankush H., Jayswal, Ekta N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: China Science Publishing & Media Ltd. Publishing Services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7690943/
http://dx.doi.org/10.1016/j.jnlssr.2020.11.002
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author Shah, Nita H.
Suthar, Ankush H.
Jayswal, Ekta N.
author_facet Shah, Nita H.
Suthar, Ankush H.
Jayswal, Ekta N.
author_sort Shah, Nita H.
collection PubMed
description At the end of 2019, the novel coronavirus (COVID-19) outbreak was identified in Wuhan city of China. Because of its profoundly infectious nature, it was converted into a pandemic in a very short period. Globally, 6,291,764 COVID-19 confirmed cases, and a total of 374,359 deaths are reported as of 1st June 2020; nevertheless, the circumstances become more and more critical over time. Controlling this global pandemic has necessitated extensive strategies putting into practice. Based on the intensity of the epidemic, the model discriminates area into three different types of zones, and this distinction is crucial to construct various effective strategies for all three types of zones separately. The threshold value of the COVID-19 based on the data from zone-wise distribution of Indian districts from 15th April to 3rd May 2020 is calculated. Furthermore, the model is modified in a multi-group model to analyse the global transmission of COVID-19. Optimal control theory is applied to the model. Five control strategies are included based on the level of intensity of COVID-19 .
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spelling pubmed-76909432020-11-27 Multi-zonal transmission dynamics of pandemic COVID-19 and its stability Shah, Nita H. Suthar, Ankush H. Jayswal, Ekta N. Journal of Safety Science and Resilience Article At the end of 2019, the novel coronavirus (COVID-19) outbreak was identified in Wuhan city of China. Because of its profoundly infectious nature, it was converted into a pandemic in a very short period. Globally, 6,291,764 COVID-19 confirmed cases, and a total of 374,359 deaths are reported as of 1st June 2020; nevertheless, the circumstances become more and more critical over time. Controlling this global pandemic has necessitated extensive strategies putting into practice. Based on the intensity of the epidemic, the model discriminates area into three different types of zones, and this distinction is crucial to construct various effective strategies for all three types of zones separately. The threshold value of the COVID-19 based on the data from zone-wise distribution of Indian districts from 15th April to 3rd May 2020 is calculated. Furthermore, the model is modified in a multi-group model to analyse the global transmission of COVID-19. Optimal control theory is applied to the model. Five control strategies are included based on the level of intensity of COVID-19 . China Science Publishing & Media Ltd. Publishing Services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. 2020-12 2020-11-26 /pmc/articles/PMC7690943/ http://dx.doi.org/10.1016/j.jnlssr.2020.11.002 Text en © 2022 China Science Publishing & Media Ltd. Publishing Services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. 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
Shah, Nita H.
Suthar, Ankush H.
Jayswal, Ekta N.
Multi-zonal transmission dynamics of pandemic COVID-19 and its stability
title Multi-zonal transmission dynamics of pandemic COVID-19 and its stability
title_full Multi-zonal transmission dynamics of pandemic COVID-19 and its stability
title_fullStr Multi-zonal transmission dynamics of pandemic COVID-19 and its stability
title_full_unstemmed Multi-zonal transmission dynamics of pandemic COVID-19 and its stability
title_short Multi-zonal transmission dynamics of pandemic COVID-19 and its stability
title_sort multi-zonal transmission dynamics of pandemic covid-19 and its stability
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7690943/
http://dx.doi.org/10.1016/j.jnlssr.2020.11.002
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