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Mathematical modelling for decision making of lockdown during COVID-19

Due to the recent worldwide outbreak of COVID-19, there has been an enormous change in our lifestyle and it has a severe impact in different fields like finance, education, business, travel, tourism, economy, etc., in all the affected countries. In this scenario, people must be careful and cautious...

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Detalles Bibliográficos
Autores principales: Ghosh, Ahona, Roy, Sandip, Mondal, Haraprasad, Biswas, Suparna, Bose, Rajesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8109847/
https://www.ncbi.nlm.nih.gov/pubmed/34764599
http://dx.doi.org/10.1007/s10489-021-02463-7
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author Ghosh, Ahona
Roy, Sandip
Mondal, Haraprasad
Biswas, Suparna
Bose, Rajesh
author_facet Ghosh, Ahona
Roy, Sandip
Mondal, Haraprasad
Biswas, Suparna
Bose, Rajesh
author_sort Ghosh, Ahona
collection PubMed
description Due to the recent worldwide outbreak of COVID-19, there has been an enormous change in our lifestyle and it has a severe impact in different fields like finance, education, business, travel, tourism, economy, etc., in all the affected countries. In this scenario, people must be careful and cautious about the symptoms and should act accordingly. Accurate predictions of different factors, like the end date of the pandemic, duration of lockdown and spreading trend can guide us through the pandemic and precautions can be taken accordingly. Multiple attempts have been made to model the virus transmission, but none of them has investigated it at a global level. The novelty of the proposed work lies here. In this paper, first, authors have analysed spreading of the said disease using data collected from various platforms and then, have presented a predictive mathematical model for fifteen countries from first, second and third world for probable future projections of this pandemic. The prediction can be used by planning commission, healthcare organizations and the government agencies as well for creating suitable arrangements against this pandemic.
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spelling pubmed-81098472021-05-11 Mathematical modelling for decision making of lockdown during COVID-19 Ghosh, Ahona Roy, Sandip Mondal, Haraprasad Biswas, Suparna Bose, Rajesh Appl Intell (Dordr) Article Due to the recent worldwide outbreak of COVID-19, there has been an enormous change in our lifestyle and it has a severe impact in different fields like finance, education, business, travel, tourism, economy, etc., in all the affected countries. In this scenario, people must be careful and cautious about the symptoms and should act accordingly. Accurate predictions of different factors, like the end date of the pandemic, duration of lockdown and spreading trend can guide us through the pandemic and precautions can be taken accordingly. Multiple attempts have been made to model the virus transmission, but none of them has investigated it at a global level. The novelty of the proposed work lies here. In this paper, first, authors have analysed spreading of the said disease using data collected from various platforms and then, have presented a predictive mathematical model for fifteen countries from first, second and third world for probable future projections of this pandemic. The prediction can be used by planning commission, healthcare organizations and the government agencies as well for creating suitable arrangements against this pandemic. Springer US 2021-05-10 2022 /pmc/articles/PMC8109847/ /pubmed/34764599 http://dx.doi.org/10.1007/s10489-021-02463-7 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Ghosh, Ahona
Roy, Sandip
Mondal, Haraprasad
Biswas, Suparna
Bose, Rajesh
Mathematical modelling for decision making of lockdown during COVID-19
title Mathematical modelling for decision making of lockdown during COVID-19
title_full Mathematical modelling for decision making of lockdown during COVID-19
title_fullStr Mathematical modelling for decision making of lockdown during COVID-19
title_full_unstemmed Mathematical modelling for decision making of lockdown during COVID-19
title_short Mathematical modelling for decision making of lockdown during COVID-19
title_sort mathematical modelling for decision making of lockdown during covid-19
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8109847/
https://www.ncbi.nlm.nih.gov/pubmed/34764599
http://dx.doi.org/10.1007/s10489-021-02463-7
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