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Examining the correlation between the weather conditions and COVID-19 pandemic in India: A mathematical evidence
In this article, for the analysis of Covid-19 progression in India, we present new insights to formulate a data-driven epidemic model and approximation algorithm using the real data on infection, recovery and death cases with respect to weather in the view of mathematical variables.
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier B.V.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7672333/ https://www.ncbi.nlm.nih.gov/pubmed/33224720 http://dx.doi.org/10.1016/j.rinp.2020.103587 |
_version_ | 1783611111341293568 |
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author | Borah, Manash Jyoti Hazarika, Bipan Panda, Sumati Kumari Nieto, Juan Jose |
author_facet | Borah, Manash Jyoti Hazarika, Bipan Panda, Sumati Kumari Nieto, Juan Jose |
author_sort | Borah, Manash Jyoti |
collection | PubMed |
description | In this article, for the analysis of Covid-19 progression in India, we present new insights to formulate a data-driven epidemic model and approximation algorithm using the real data on infection, recovery and death cases with respect to weather in the view of mathematical variables. |
format | Online Article Text |
id | pubmed-7672333 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Author(s). Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-76723332020-11-18 Examining the correlation between the weather conditions and COVID-19 pandemic in India: A mathematical evidence Borah, Manash Jyoti Hazarika, Bipan Panda, Sumati Kumari Nieto, Juan Jose Results Phys Article In this article, for the analysis of Covid-19 progression in India, we present new insights to formulate a data-driven epidemic model and approximation algorithm using the real data on infection, recovery and death cases with respect to weather in the view of mathematical variables. The Author(s). Published by Elsevier B.V. 2020-12 2020-11-18 /pmc/articles/PMC7672333/ /pubmed/33224720 http://dx.doi.org/10.1016/j.rinp.2020.103587 Text en © 2020 The Author(s) 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 Borah, Manash Jyoti Hazarika, Bipan Panda, Sumati Kumari Nieto, Juan Jose Examining the correlation between the weather conditions and COVID-19 pandemic in India: A mathematical evidence |
title | Examining the correlation between the weather conditions and COVID-19 pandemic in India: A mathematical evidence |
title_full | Examining the correlation between the weather conditions and COVID-19 pandemic in India: A mathematical evidence |
title_fullStr | Examining the correlation between the weather conditions and COVID-19 pandemic in India: A mathematical evidence |
title_full_unstemmed | Examining the correlation between the weather conditions and COVID-19 pandemic in India: A mathematical evidence |
title_short | Examining the correlation between the weather conditions and COVID-19 pandemic in India: A mathematical evidence |
title_sort | examining the correlation between the weather conditions and covid-19 pandemic in india: a mathematical evidence |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7672333/ https://www.ncbi.nlm.nih.gov/pubmed/33224720 http://dx.doi.org/10.1016/j.rinp.2020.103587 |
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