On a multi-order fractional SIRC model for Influenza

Since influenza is a seasonal mutating disease, in this paper, we propose and analyze a multi-fractional version of the SIRC model (which relates the S-susceptible, I-Infected, R-recovered, and C-cross-immune individuals in the population N) to capture the immunological memory gained by individuals...

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Main Authors: Ana Carla Ferreira Nicola Gomes, Adriano De Cezaro
Format: Article
Language:Portuguese
Published: UNESP 2022-09-01
Series:CQD Revista Eletrônica Paulista de Matemática
Subjects:
Online Access:https://sistemas.fc.unesp.br/ojs/index.php/revistacqd/article/view/303
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author Ana Carla Ferreira Nicola Gomes
Adriano De Cezaro
author_facet Ana Carla Ferreira Nicola Gomes
Adriano De Cezaro
author_sort Ana Carla Ferreira Nicola Gomes
collection DOAJ
description Since influenza is a seasonal mutating disease, in this paper, we propose and analyze a multi-fractional version of the SIRC model (which relates the S-susceptible, I-Infected, R-recovered, and C-cross-immune individuals in the population N) to capture the immunological memory gained by individuals that have previous contact Influenza strains. We show the well-posedness and consistency of the proposed multi-fractional dynamics and analyze the stability of stationary points with an analytical/numerical strategy. The simulated scenarios show that the proposed model describes more precisely reported Influenza H1N1 data, from the State of Rio Grande do Sul, in the year 2010. Moreover, it shows that the memory enhanced by the fractional dynamics (that model the immunological memory) implies a substantial decrease of susceptibility of re-infection by strain mutations in long-running diseases, but is larger in the beginning.
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spelling doaj.art-1f6c4d4edbdf4d7cb2fc10ad46f17c2e2023-09-02T10:55:11ZporUNESPCQD Revista Eletrônica Paulista de Matemática2316-96642022-09-01222On a multi-order fractional SIRC model for InfluenzaAna Carla Ferreira Nicola Gomes0Adriano De Cezaro1Institute of Mathematics, Statistics and Physics Federal Univ. of Rio Grande Institute of Mathematics, Statistics and Physics Federal Univ. of Rio Grande Since influenza is a seasonal mutating disease, in this paper, we propose and analyze a multi-fractional version of the SIRC model (which relates the S-susceptible, I-Infected, R-recovered, and C-cross-immune individuals in the population N) to capture the immunological memory gained by individuals that have previous contact Influenza strains. We show the well-posedness and consistency of the proposed multi-fractional dynamics and analyze the stability of stationary points with an analytical/numerical strategy. The simulated scenarios show that the proposed model describes more precisely reported Influenza H1N1 data, from the State of Rio Grande do Sul, in the year 2010. Moreover, it shows that the memory enhanced by the fractional dynamics (that model the immunological memory) implies a substantial decrease of susceptibility of re-infection by strain mutations in long-running diseases, but is larger in the beginning. https://sistemas.fc.unesp.br/ojs/index.php/revistacqd/article/view/303Multi-fractional SIRC modelInfluenzaCrossimmunity.
spellingShingle Ana Carla Ferreira Nicola Gomes
Adriano De Cezaro
On a multi-order fractional SIRC model for Influenza
CQD Revista Eletrônica Paulista de Matemática
Multi-fractional SIRC model
Influenza
Crossimmunity.
title On a multi-order fractional SIRC model for Influenza
title_full On a multi-order fractional SIRC model for Influenza
title_fullStr On a multi-order fractional SIRC model for Influenza
title_full_unstemmed On a multi-order fractional SIRC model for Influenza
title_short On a multi-order fractional SIRC model for Influenza
title_sort on a multi order fractional sirc model for influenza
topic Multi-fractional SIRC model
Influenza
Crossimmunity.
url https://sistemas.fc.unesp.br/ojs/index.php/revistacqd/article/view/303
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