Epidemic Thresholds in SIR and SIIR Models Applying an Algorithmic Method

Epidemic thresholds were deduced and simulated from SIR models of Susceptible – Infected – Recovered individuals, through local stability analysis of the disease free and endemic equilibrium, with an algorithmic method. One and two types of infected individuals were modeled, considering the influenc...

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Detalles Bibliográficos
Autores principales: Hincapié P., Doracelly, Ospina G., Juan, Uyi Afuwape, Anthony, Gómez A., Ruben D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2008
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7120305/
http://dx.doi.org/10.1007/978-3-540-89746-0_12
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author Hincapié P., Doracelly
Ospina G., Juan
Uyi Afuwape, Anthony
Gómez A., Ruben D.
author_facet Hincapié P., Doracelly
Ospina G., Juan
Uyi Afuwape, Anthony
Gómez A., Ruben D.
author_sort Hincapié P., Doracelly
collection PubMed
description Epidemic thresholds were deduced and simulated from SIR models of Susceptible – Infected – Recovered individuals, through local stability analysis of the disease free and endemic equilibrium, with an algorithmic method. One and two types of infected individuals were modeled, considering the influence of sub clinical, undiagnosed or unrecognized infected cases in disease transmission.
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spelling pubmed-71203052020-04-06 Epidemic Thresholds in SIR and SIIR Models Applying an Algorithmic Method Hincapié P., Doracelly Ospina G., Juan Uyi Afuwape, Anthony Gómez A., Ruben D. Biosurveillance and Biosecurity Article Epidemic thresholds were deduced and simulated from SIR models of Susceptible – Infected – Recovered individuals, through local stability analysis of the disease free and endemic equilibrium, with an algorithmic method. One and two types of infected individuals were modeled, considering the influence of sub clinical, undiagnosed or unrecognized infected cases in disease transmission. 2008 /pmc/articles/PMC7120305/ http://dx.doi.org/10.1007/978-3-540-89746-0_12 Text en © Springer-Verlag Berlin Heidelberg 2008 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
Hincapié P., Doracelly
Ospina G., Juan
Uyi Afuwape, Anthony
Gómez A., Ruben D.
Epidemic Thresholds in SIR and SIIR Models Applying an Algorithmic Method
title Epidemic Thresholds in SIR and SIIR Models Applying an Algorithmic Method
title_full Epidemic Thresholds in SIR and SIIR Models Applying an Algorithmic Method
title_fullStr Epidemic Thresholds in SIR and SIIR Models Applying an Algorithmic Method
title_full_unstemmed Epidemic Thresholds in SIR and SIIR Models Applying an Algorithmic Method
title_short Epidemic Thresholds in SIR and SIIR Models Applying an Algorithmic Method
title_sort epidemic thresholds in sir and siir models applying an algorithmic method
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7120305/
http://dx.doi.org/10.1007/978-3-540-89746-0_12
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