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Propagation Analysis of COVID-19: An SIR Model-Based Investigation of the Pandemic

The paper investigates the spread pattern and dynamics of Covid-19 propagation based on SIR model. Using the model dynamics, an analytical estimation has been obtained for virus span, its longevity, growing pattern, etc. Experimental simulations are carried out on the data of four regions of India o...

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Detalles Bibliográficos
Autores principales: Saxena, Rahul, Jadeja, Mahipal, Bhateja, Vikrant
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8352759/
https://www.ncbi.nlm.nih.gov/pubmed/34395158
http://dx.doi.org/10.1007/s13369-021-05904-0
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author Saxena, Rahul
Jadeja, Mahipal
Bhateja, Vikrant
author_facet Saxena, Rahul
Jadeja, Mahipal
Bhateja, Vikrant
author_sort Saxena, Rahul
collection PubMed
description The paper investigates the spread pattern and dynamics of Covid-19 propagation based on SIR model. Using the model dynamics, an analytical estimation has been obtained for virus span, its longevity, growing pattern, etc. Experimental simulations are carried out on the data of four regions of India over a period of two months of country-wide lockdown. The analysis illustrates the effect of lockdown on the contact rate and its implication. Simulation results illustrate that there is a cut-down in effective contact rate by a considerable factor ranging from 2 to 4 for the selected regions. Further, the estimates for the vaccines to be developed, maximum range and span of the disease can be also estimated. Results portray that the SIR model is a significant tool to cast the dynamics and predictions of Covid-19 outbreak in comparison to other epidemic models. The study demonstrates the progression of real time data in accordance with the SIR model with high accuracy.
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spelling pubmed-83527592021-08-10 Propagation Analysis of COVID-19: An SIR Model-Based Investigation of the Pandemic Saxena, Rahul Jadeja, Mahipal Bhateja, Vikrant Arab J Sci Eng RESEARCH ARTICLE - SPECIAL ISSUE - AI based health-related Computing for COVID-19 (AIHRC) The paper investigates the spread pattern and dynamics of Covid-19 propagation based on SIR model. Using the model dynamics, an analytical estimation has been obtained for virus span, its longevity, growing pattern, etc. Experimental simulations are carried out on the data of four regions of India over a period of two months of country-wide lockdown. The analysis illustrates the effect of lockdown on the contact rate and its implication. Simulation results illustrate that there is a cut-down in effective contact rate by a considerable factor ranging from 2 to 4 for the selected regions. Further, the estimates for the vaccines to be developed, maximum range and span of the disease can be also estimated. Results portray that the SIR model is a significant tool to cast the dynamics and predictions of Covid-19 outbreak in comparison to other epidemic models. The study demonstrates the progression of real time data in accordance with the SIR model with high accuracy. Springer Berlin Heidelberg 2021-08-10 /pmc/articles/PMC8352759/ /pubmed/34395158 http://dx.doi.org/10.1007/s13369-021-05904-0 Text en © King Fahd University of Petroleum & Minerals 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 RESEARCH ARTICLE - SPECIAL ISSUE - AI based health-related Computing for COVID-19 (AIHRC)
Saxena, Rahul
Jadeja, Mahipal
Bhateja, Vikrant
Propagation Analysis of COVID-19: An SIR Model-Based Investigation of the Pandemic
title Propagation Analysis of COVID-19: An SIR Model-Based Investigation of the Pandemic
title_full Propagation Analysis of COVID-19: An SIR Model-Based Investigation of the Pandemic
title_fullStr Propagation Analysis of COVID-19: An SIR Model-Based Investigation of the Pandemic
title_full_unstemmed Propagation Analysis of COVID-19: An SIR Model-Based Investigation of the Pandemic
title_short Propagation Analysis of COVID-19: An SIR Model-Based Investigation of the Pandemic
title_sort propagation analysis of covid-19: an sir model-based investigation of the pandemic
topic RESEARCH ARTICLE - SPECIAL ISSUE - AI based health-related Computing for COVID-19 (AIHRC)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8352759/
https://www.ncbi.nlm.nih.gov/pubmed/34395158
http://dx.doi.org/10.1007/s13369-021-05904-0
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