Cargando…
Global Analysis of a piecewise smooth epidemiological model of COVID-19
Despite the huge relevance of vaccines for preventing COVID-19, physical isolation and quarantine of infected individuals are still the key strategies to fight against the COVID-19 pandemic. Based on a COVID-19 transmission epidemiological model governed by ordinary differential equations, here we p...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8384106/ https://www.ncbi.nlm.nih.gov/pubmed/34456509 http://dx.doi.org/10.1007/s11071-021-06801-9 |
_version_ | 1783741852552265728 |
---|---|
author | Carvalho, Tiago Cristiano, Rony Rodrigues, Diego S. Tonon, Durval J. |
author_facet | Carvalho, Tiago Cristiano, Rony Rodrigues, Diego S. Tonon, Durval J. |
author_sort | Carvalho, Tiago |
collection | PubMed |
description | Despite the huge relevance of vaccines for preventing COVID-19, physical isolation and quarantine of infected individuals are still the key strategies to fight against the COVID-19 pandemic. Based on a COVID-19 transmission epidemiological model governed by ordinary differential equations, here we propose an intermittent non-pharmacological protocol to control the fraction of infected individuals. In our approach, unlike what generically happens for numerical simulation models, we provide a global analysis of the model, giving qualitative information about every initial condition. Under some simple hypothesis and variations of parameters, we present some bifurcations and we are able to predict the minimum social distancing effort that do not collapse the health system. |
format | Online Article Text |
id | pubmed-8384106 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-83841062021-08-24 Global Analysis of a piecewise smooth epidemiological model of COVID-19 Carvalho, Tiago Cristiano, Rony Rodrigues, Diego S. Tonon, Durval J. Nonlinear Dyn Original Paper Despite the huge relevance of vaccines for preventing COVID-19, physical isolation and quarantine of infected individuals are still the key strategies to fight against the COVID-19 pandemic. Based on a COVID-19 transmission epidemiological model governed by ordinary differential equations, here we propose an intermittent non-pharmacological protocol to control the fraction of infected individuals. In our approach, unlike what generically happens for numerical simulation models, we provide a global analysis of the model, giving qualitative information about every initial condition. Under some simple hypothesis and variations of parameters, we present some bifurcations and we are able to predict the minimum social distancing effort that do not collapse the health system. Springer Netherlands 2021-08-24 2021 /pmc/articles/PMC8384106/ /pubmed/34456509 http://dx.doi.org/10.1007/s11071-021-06801-9 Text en © The Author(s), under exclusive licence to Springer Nature B.V. 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 | Original Paper Carvalho, Tiago Cristiano, Rony Rodrigues, Diego S. Tonon, Durval J. Global Analysis of a piecewise smooth epidemiological model of COVID-19 |
title | Global Analysis of a piecewise smooth epidemiological model of COVID-19 |
title_full | Global Analysis of a piecewise smooth epidemiological model of COVID-19 |
title_fullStr | Global Analysis of a piecewise smooth epidemiological model of COVID-19 |
title_full_unstemmed | Global Analysis of a piecewise smooth epidemiological model of COVID-19 |
title_short | Global Analysis of a piecewise smooth epidemiological model of COVID-19 |
title_sort | global analysis of a piecewise smooth epidemiological model of covid-19 |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8384106/ https://www.ncbi.nlm.nih.gov/pubmed/34456509 http://dx.doi.org/10.1007/s11071-021-06801-9 |
work_keys_str_mv | AT carvalhotiago globalanalysisofapiecewisesmoothepidemiologicalmodelofcovid19 AT cristianorony globalanalysisofapiecewisesmoothepidemiologicalmodelofcovid19 AT rodriguesdiegos globalanalysisofapiecewisesmoothepidemiologicalmodelofcovid19 AT tonondurvalj globalanalysisofapiecewisesmoothepidemiologicalmodelofcovid19 |