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Analysis of the Adomian decomposition method to estimate the COVID-19 pandemic
Several techniques, including mathematical models, have been explored since the onset of COVID-19 transmission to evaluate the end outcome and implement drastic measures for this illness. Using the currently infected, noninfected, exposed, susceptible, and recovered cases in the Indian community, we...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9276664/ http://dx.doi.org/10.1016/B978-0-323-99888-8.00011-5 |
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author | Agarwal, Garima Mohan, Man Menon, Athira M. Sharma, Amit Dakal, Tikam Chand Purohit, Sunil Dutt |
author_facet | Agarwal, Garima Mohan, Man Menon, Athira M. Sharma, Amit Dakal, Tikam Chand Purohit, Sunil Dutt |
author_sort | Agarwal, Garima |
collection | PubMed |
description | Several techniques, including mathematical models, have been explored since the onset of COVID-19 transmission to evaluate the end outcome and implement drastic measures for this illness. Using the currently infected, noninfected, exposed, susceptible, and recovered cases in the Indian community, we created a mathematical model to describe the transmission of COVID-19. In particular, we used the semianalytical Adomian decomposition method without considering any discretization to perform the first-order differential equations related to COVID-19 cases. According to our early findings, rigorous initial isolation for 22–25 days would reduce the number of exposed and newly infected people. As a result of the downstream effect, the number of suspected and recovered persons would remain stable, assuming that social distance is properly recognized. In a larger sense, the parameters established by our mathematical model may aid in the refinement of future pandemic tactics. |
format | Online Article Text |
id | pubmed-9276664 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
spelling | pubmed-92766642022-07-14 Analysis of the Adomian decomposition method to estimate the COVID-19 pandemic Agarwal, Garima Mohan, Man Menon, Athira M. Sharma, Amit Dakal, Tikam Chand Purohit, Sunil Dutt Methods of Mathematical Modeling Article Several techniques, including mathematical models, have been explored since the onset of COVID-19 transmission to evaluate the end outcome and implement drastic measures for this illness. Using the currently infected, noninfected, exposed, susceptible, and recovered cases in the Indian community, we created a mathematical model to describe the transmission of COVID-19. In particular, we used the semianalytical Adomian decomposition method without considering any discretization to perform the first-order differential equations related to COVID-19 cases. According to our early findings, rigorous initial isolation for 22–25 days would reduce the number of exposed and newly infected people. As a result of the downstream effect, the number of suspected and recovered persons would remain stable, assuming that social distance is properly recognized. In a larger sense, the parameters established by our mathematical model may aid in the refinement of future pandemic tactics. 2022 2022-06-24 /pmc/articles/PMC9276664/ http://dx.doi.org/10.1016/B978-0-323-99888-8.00011-5 Text en Copyright © 2022 Elsevier Inc. 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 Agarwal, Garima Mohan, Man Menon, Athira M. Sharma, Amit Dakal, Tikam Chand Purohit, Sunil Dutt Analysis of the Adomian decomposition method to estimate the COVID-19 pandemic |
title | Analysis of the Adomian decomposition method to estimate the COVID-19 pandemic |
title_full | Analysis of the Adomian decomposition method to estimate the COVID-19 pandemic |
title_fullStr | Analysis of the Adomian decomposition method to estimate the COVID-19 pandemic |
title_full_unstemmed | Analysis of the Adomian decomposition method to estimate the COVID-19 pandemic |
title_short | Analysis of the Adomian decomposition method to estimate the COVID-19 pandemic |
title_sort | analysis of the adomian decomposition method to estimate the covid-19 pandemic |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9276664/ http://dx.doi.org/10.1016/B978-0-323-99888-8.00011-5 |
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