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Predictive analysis of COVID-19 eradication with vaccination in India, Brazil, and U.S.A
The most important question and concern in these circumstances of COVID-19 epidemic outspread is when will the pandemic end? Vaccination is the only solution to restore life to normalcy in the fastest and safest possible manner. Therefore, we have carried out a predictive analysis for realistic time...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8010329/ https://www.ncbi.nlm.nih.gov/pubmed/33798755 http://dx.doi.org/10.1016/j.meegid.2021.104834 |
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author | Chaturvedi, Deepa Chakravarty, U. |
author_facet | Chaturvedi, Deepa Chakravarty, U. |
author_sort | Chaturvedi, Deepa |
collection | PubMed |
description | The most important question and concern in these circumstances of COVID-19 epidemic outspread is when will the pandemic end? Vaccination is the only solution to restore life to normalcy in the fastest and safest possible manner. Therefore, we have carried out a predictive analysis for realistic timescale estimates for overcoming the epidemic considering vaccination rate effect on the dynamics of COVID-19 control. In particular we discuss the worst affected large countries like India, Brazil and USA for estimating effect of vaccination rate in expediting the end of the COVID-19 epidemic. We analytically simulated the dynamic evolution of active cases of these countries in the last nine months using the modified SIR model and then included the effect of vaccination to forecast the proliferation dynamics. We hence obtained the transmission parameters, the variation in the reproduction numbers and the impact of the different values of the vaccination shots in the expected curves of active cases in the coming times to predicted the timescales of the end of the epidemic. |
format | Online Article Text |
id | pubmed-8010329 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-80103292021-03-31 Predictive analysis of COVID-19 eradication with vaccination in India, Brazil, and U.S.A Chaturvedi, Deepa Chakravarty, U. Infect Genet Evol Research Paper The most important question and concern in these circumstances of COVID-19 epidemic outspread is when will the pandemic end? Vaccination is the only solution to restore life to normalcy in the fastest and safest possible manner. Therefore, we have carried out a predictive analysis for realistic timescale estimates for overcoming the epidemic considering vaccination rate effect on the dynamics of COVID-19 control. In particular we discuss the worst affected large countries like India, Brazil and USA for estimating effect of vaccination rate in expediting the end of the COVID-19 epidemic. We analytically simulated the dynamic evolution of active cases of these countries in the last nine months using the modified SIR model and then included the effect of vaccination to forecast the proliferation dynamics. We hence obtained the transmission parameters, the variation in the reproduction numbers and the impact of the different values of the vaccination shots in the expected curves of active cases in the coming times to predicted the timescales of the end of the epidemic. Elsevier B.V. 2021-08 2021-03-31 /pmc/articles/PMC8010329/ /pubmed/33798755 http://dx.doi.org/10.1016/j.meegid.2021.104834 Text en © 2021 Elsevier B.V. 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 | Research Paper Chaturvedi, Deepa Chakravarty, U. Predictive analysis of COVID-19 eradication with vaccination in India, Brazil, and U.S.A |
title | Predictive analysis of COVID-19 eradication with vaccination in India, Brazil, and U.S.A |
title_full | Predictive analysis of COVID-19 eradication with vaccination in India, Brazil, and U.S.A |
title_fullStr | Predictive analysis of COVID-19 eradication with vaccination in India, Brazil, and U.S.A |
title_full_unstemmed | Predictive analysis of COVID-19 eradication with vaccination in India, Brazil, and U.S.A |
title_short | Predictive analysis of COVID-19 eradication with vaccination in India, Brazil, and U.S.A |
title_sort | predictive analysis of covid-19 eradication with vaccination in india, brazil, and u.s.a |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8010329/ https://www.ncbi.nlm.nih.gov/pubmed/33798755 http://dx.doi.org/10.1016/j.meegid.2021.104834 |
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