Cargando…
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...
Autores principales: | , , |
---|---|
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 |
_version_ | 1783736254210244608 |
---|---|
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. |
format | Online Article Text |
id | pubmed-8352759 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT saxenarahul propagationanalysisofcovid19ansirmodelbasedinvestigationofthepandemic AT jadejamahipal propagationanalysisofcovid19ansirmodelbasedinvestigationofthepandemic AT bhatejavikrant propagationanalysisofcovid19ansirmodelbasedinvestigationofthepandemic |