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Modelling the influence of progressive social awareness, lockdown and anthropogenic migration on the dynamics of an epidemic
The basic Susceptible-Infected-Recovered (SIR) model is extended to include effects of progressive social awareness, lockdowns and anthropogenic migration. It is found that social awareness can effectively contain the spread by lowering the basic reproduction rate [Formula: see text] . Interestingly...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7509834/ https://www.ncbi.nlm.nih.gov/pubmed/32983836 http://dx.doi.org/10.1007/s40435-020-00692-1 |
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author | Bhattacharyya, R. Konar, Partha |
author_facet | Bhattacharyya, R. Konar, Partha |
author_sort | Bhattacharyya, R. |
collection | PubMed |
description | The basic Susceptible-Infected-Recovered (SIR) model is extended to include effects of progressive social awareness, lockdowns and anthropogenic migration. It is found that social awareness can effectively contain the spread by lowering the basic reproduction rate [Formula: see text] . Interestingly, the awareness is found to be more effective in a society which can adopt the awareness faster compared to the one having a slower response. The paper also separates the mortality fraction from the clinically recovered fraction and attempts to model the outcome of lockdowns, in absence and presence of social awareness. It is seen that staggered exits from lockdowns are not only economically beneficial but also helps to curb the infection spread. Moreover, a staggered exit strategy with progressive social awareness is found to be the most efficient intervention. The paper also explores the effects of anthropogenic migration on the dynamics of the epidemic in a two-zone scenario. The calculations yield dissimilar evolution of different fractions in different zones. Such models can be convenient to strategize the division of a large zone into smaller sub-zones for a disproportionate imposition of lockdown, or, an exit from one. Calculations are done with parameters consistent with the SARS-COV-2 pathogen in the Indian context. |
format | Online Article Text |
id | pubmed-7509834 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-75098342020-09-23 Modelling the influence of progressive social awareness, lockdown and anthropogenic migration on the dynamics of an epidemic Bhattacharyya, R. Konar, Partha Int J Dyn Control Article The basic Susceptible-Infected-Recovered (SIR) model is extended to include effects of progressive social awareness, lockdowns and anthropogenic migration. It is found that social awareness can effectively contain the spread by lowering the basic reproduction rate [Formula: see text] . Interestingly, the awareness is found to be more effective in a society which can adopt the awareness faster compared to the one having a slower response. The paper also separates the mortality fraction from the clinically recovered fraction and attempts to model the outcome of lockdowns, in absence and presence of social awareness. It is seen that staggered exits from lockdowns are not only economically beneficial but also helps to curb the infection spread. Moreover, a staggered exit strategy with progressive social awareness is found to be the most efficient intervention. The paper also explores the effects of anthropogenic migration on the dynamics of the epidemic in a two-zone scenario. The calculations yield dissimilar evolution of different fractions in different zones. Such models can be convenient to strategize the division of a large zone into smaller sub-zones for a disproportionate imposition of lockdown, or, an exit from one. Calculations are done with parameters consistent with the SARS-COV-2 pathogen in the Indian context. Springer Berlin Heidelberg 2020-09-23 2021 /pmc/articles/PMC7509834/ /pubmed/32983836 http://dx.doi.org/10.1007/s40435-020-00692-1 Text en © Springer-Verlag GmbH Germany, part of Springer Nature 2020 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 Bhattacharyya, R. Konar, Partha Modelling the influence of progressive social awareness, lockdown and anthropogenic migration on the dynamics of an epidemic |
title | Modelling the influence of progressive social awareness, lockdown and anthropogenic migration on the dynamics of an epidemic |
title_full | Modelling the influence of progressive social awareness, lockdown and anthropogenic migration on the dynamics of an epidemic |
title_fullStr | Modelling the influence of progressive social awareness, lockdown and anthropogenic migration on the dynamics of an epidemic |
title_full_unstemmed | Modelling the influence of progressive social awareness, lockdown and anthropogenic migration on the dynamics of an epidemic |
title_short | Modelling the influence of progressive social awareness, lockdown and anthropogenic migration on the dynamics of an epidemic |
title_sort | modelling the influence of progressive social awareness, lockdown and anthropogenic migration on the dynamics of an epidemic |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7509834/ https://www.ncbi.nlm.nih.gov/pubmed/32983836 http://dx.doi.org/10.1007/s40435-020-00692-1 |
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