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Dynamic model of infected population due to spreading of pandemic COVID-19 considering both intra and inter zone mobilization factors with rate of detection

Most of the widely populated countries across the globe have been observing vicious spread and detrimental effects of pandemic COVID-19 since its inception on December 19. Therefore to restrict the spreading of pandemic COVID-19, various researches are going on in both medical and administrative sec...

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Autores principales: Ghosh, Mousam, Ghosh, Swarnankur, Ghosh, Suman, Panda, Goutam Kumar, Saha, Pradip Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7572091/
https://www.ncbi.nlm.nih.gov/pubmed/33100606
http://dx.doi.org/10.1016/j.chaos.2020.110377
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author Ghosh, Mousam
Ghosh, Swarnankur
Ghosh, Suman
Panda, Goutam Kumar
Saha, Pradip Kumar
author_facet Ghosh, Mousam
Ghosh, Swarnankur
Ghosh, Suman
Panda, Goutam Kumar
Saha, Pradip Kumar
author_sort Ghosh, Mousam
collection PubMed
description Most of the widely populated countries across the globe have been observing vicious spread and detrimental effects of pandemic COVID-19 since its inception on December 19. Therefore to restrict the spreading of pandemic COVID-19, various researches are going on in both medical and administrative sectors. The focus has been given in this research keeping an administrative point of view in mind. In this paper a dynamic model of infected population due to spreading of pandemic COVID-19 considering both intra and inter zone mobilization factors with rate of detection has been proposed. Few factors related to intra zone mobilization; inter zone mobilization and rate of detection are the key points in the proposed model. Various remedial steps are taken into consideration in the form of operating procedures. Further such operating procedures are applied over the model in standalone or hybridized mode and responses are reported in this paper in a case-studies manner. Further zone-wise increase in infected population due to the spreading of pandemic COVID-19 has been studied and reported in this paper. Also the proposed model has been applied over the real world data considering three states of India and the predicted responses are compared with real data and reported with bar chart representation in this paper.
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spelling pubmed-75720912020-10-20 Dynamic model of infected population due to spreading of pandemic COVID-19 considering both intra and inter zone mobilization factors with rate of detection Ghosh, Mousam Ghosh, Swarnankur Ghosh, Suman Panda, Goutam Kumar Saha, Pradip Kumar Chaos Solitons Fractals Article Most of the widely populated countries across the globe have been observing vicious spread and detrimental effects of pandemic COVID-19 since its inception on December 19. Therefore to restrict the spreading of pandemic COVID-19, various researches are going on in both medical and administrative sectors. The focus has been given in this research keeping an administrative point of view in mind. In this paper a dynamic model of infected population due to spreading of pandemic COVID-19 considering both intra and inter zone mobilization factors with rate of detection has been proposed. Few factors related to intra zone mobilization; inter zone mobilization and rate of detection are the key points in the proposed model. Various remedial steps are taken into consideration in the form of operating procedures. Further such operating procedures are applied over the model in standalone or hybridized mode and responses are reported in this paper in a case-studies manner. Further zone-wise increase in infected population due to the spreading of pandemic COVID-19 has been studied and reported in this paper. Also the proposed model has been applied over the real world data considering three states of India and the predicted responses are compared with real data and reported with bar chart representation in this paper. Elsevier Ltd. 2021-01 2020-10-19 /pmc/articles/PMC7572091/ /pubmed/33100606 http://dx.doi.org/10.1016/j.chaos.2020.110377 Text en © 2020 Elsevier Ltd. 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
Ghosh, Mousam
Ghosh, Swarnankur
Ghosh, Suman
Panda, Goutam Kumar
Saha, Pradip Kumar
Dynamic model of infected population due to spreading of pandemic COVID-19 considering both intra and inter zone mobilization factors with rate of detection
title Dynamic model of infected population due to spreading of pandemic COVID-19 considering both intra and inter zone mobilization factors with rate of detection
title_full Dynamic model of infected population due to spreading of pandemic COVID-19 considering both intra and inter zone mobilization factors with rate of detection
title_fullStr Dynamic model of infected population due to spreading of pandemic COVID-19 considering both intra and inter zone mobilization factors with rate of detection
title_full_unstemmed Dynamic model of infected population due to spreading of pandemic COVID-19 considering both intra and inter zone mobilization factors with rate of detection
title_short Dynamic model of infected population due to spreading of pandemic COVID-19 considering both intra and inter zone mobilization factors with rate of detection
title_sort dynamic model of infected population due to spreading of pandemic covid-19 considering both intra and inter zone mobilization factors with rate of detection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7572091/
https://www.ncbi.nlm.nih.gov/pubmed/33100606
http://dx.doi.org/10.1016/j.chaos.2020.110377
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