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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...

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Detalles Bibliográficos
Autores principales: Carvalho, Tiago, Cristiano, Rony, Rodrigues, Diego S., Tonon, Durval J.
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
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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.
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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
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