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A simple mathematical model to predict and validate the spread of Covid-19 in India

The new outbreak of the corona virus (Covid-19) is expanding rapidly worldwide, disrupting millions and prompting authorities to take swift measures to avoid the disease. National lockdown imposed by the Indian government since 25 March 2020, the early lockdown action shows as compared to many other...

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Autores principales: Kumar, Harish, Arora, Pawan K., Pant, Meena, Kumar, Anil, Akhtar Khan, Shahroz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8011691/
https://www.ncbi.nlm.nih.gov/pubmed/33821202
http://dx.doi.org/10.1016/j.matpr.2021.03.434
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author Kumar, Harish
Arora, Pawan K.
Pant, Meena
Kumar, Anil
Akhtar Khan, Shahroz
author_facet Kumar, Harish
Arora, Pawan K.
Pant, Meena
Kumar, Anil
Akhtar Khan, Shahroz
author_sort Kumar, Harish
collection PubMed
description The new outbreak of the corona virus (Covid-19) is expanding rapidly worldwide, disrupting millions and prompting authorities to take swift measures to avoid the disease. National lockdown imposed by the Indian government since 25 March 2020, the early lockdown action shows as compared to many other Countries/states can benefit from limiting the final size of the epidemic. A report on the issue of spreading the Covid-19 modeling in India is under review. This study analyzes Covid-19 infections by 20Dec 2021 and presents a mathematical approach for forecasting new cases or cumulative cases in practical situations. This forecast is much needed to schedule/continue medical set-ups for possible action to tackle the Covid-19 outbreak. It is important to mention here that the number of authors has proposed different models for predicting the expansion of Covid-19 to India and other countries; almost no model has yet to be demonstrated viable. With this mathematical model, it is simple to forecast the transfer of Covid-19. It is clear from the data that lockdown has played a significant role in controlling the transmission of the disease. A close match between the predicted empirical results and the available results proves the derived model similarity.
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spelling pubmed-80116912021-04-01 A simple mathematical model to predict and validate the spread of Covid-19 in India Kumar, Harish Arora, Pawan K. Pant, Meena Kumar, Anil Akhtar Khan, Shahroz Mater Today Proc Article The new outbreak of the corona virus (Covid-19) is expanding rapidly worldwide, disrupting millions and prompting authorities to take swift measures to avoid the disease. National lockdown imposed by the Indian government since 25 March 2020, the early lockdown action shows as compared to many other Countries/states can benefit from limiting the final size of the epidemic. A report on the issue of spreading the Covid-19 modeling in India is under review. This study analyzes Covid-19 infections by 20Dec 2021 and presents a mathematical approach for forecasting new cases or cumulative cases in practical situations. This forecast is much needed to schedule/continue medical set-ups for possible action to tackle the Covid-19 outbreak. It is important to mention here that the number of authors has proposed different models for predicting the expansion of Covid-19 to India and other countries; almost no model has yet to be demonstrated viable. With this mathematical model, it is simple to forecast the transfer of Covid-19. It is clear from the data that lockdown has played a significant role in controlling the transmission of the disease. A close match between the predicted empirical results and the available results proves the derived model similarity. Elsevier Ltd. 2021 2021-03-31 /pmc/articles/PMC8011691/ /pubmed/33821202 http://dx.doi.org/10.1016/j.matpr.2021.03.434 Text en © 2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the 3rd International Conference on Computational and Experimental Methods in Mechanical Engineering. 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
Kumar, Harish
Arora, Pawan K.
Pant, Meena
Kumar, Anil
Akhtar Khan, Shahroz
A simple mathematical model to predict and validate the spread of Covid-19 in India
title A simple mathematical model to predict and validate the spread of Covid-19 in India
title_full A simple mathematical model to predict and validate the spread of Covid-19 in India
title_fullStr A simple mathematical model to predict and validate the spread of Covid-19 in India
title_full_unstemmed A simple mathematical model to predict and validate the spread of Covid-19 in India
title_short A simple mathematical model to predict and validate the spread of Covid-19 in India
title_sort simple mathematical model to predict and validate the spread of covid-19 in india
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8011691/
https://www.ncbi.nlm.nih.gov/pubmed/33821202
http://dx.doi.org/10.1016/j.matpr.2021.03.434
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