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Understanding the effect of vector dynamics in epidemic models using center manifold analysis

In vector borne diseases the human hosts' epidemiology often acts on a much slower time scales than the one of the mosquitos which transmit the disease as a vector from human to human, due to their vastly different life cycles. We investigate in a model with susceptible (S), infected (I) and re...

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Detalles Bibliográficos
Autores principales: Rocha, Filipe, Aguiar, Maíra, Souza, Max, Stollenwerk, Nico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Institute of Physics 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7108776/
https://www.ncbi.nlm.nih.gov/pubmed/32255871
http://dx.doi.org/10.1063/1.4756398
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author Rocha, Filipe
Aguiar, Maíra
Souza, Max
Stollenwerk, Nico
author_facet Rocha, Filipe
Aguiar, Maíra
Souza, Max
Stollenwerk, Nico
author_sort Rocha, Filipe
collection PubMed
description In vector borne diseases the human hosts' epidemiology often acts on a much slower time scales than the one of the mosquitos which transmit the disease as a vector from human to human, due to their vastly different life cycles. We investigate in a model with susceptible (S), infected (I) and recovered (R) humans and susceptible (U) and infected (V) mosquitoes in how far the fast time scale of the mosquito epidemiology can be slaved by the slower human epidemiology, so that for the understanding of human disease data mainly the dynamics of the human time scale is essential and only slightly perturbed by the mosquito dynamics. This analysis of the SIRUV model is qualitatively in agreement with a previously investigated simpler SISUV model, hence a feature of vector-borne diseases in general.
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spelling pubmed-71087762020-04-01 Understanding the effect of vector dynamics in epidemic models using center manifold analysis Rocha, Filipe Aguiar, Maíra Souza, Max Stollenwerk, Nico AIP Conf Proc Symposia In vector borne diseases the human hosts' epidemiology often acts on a much slower time scales than the one of the mosquitos which transmit the disease as a vector from human to human, due to their vastly different life cycles. We investigate in a model with susceptible (S), infected (I) and recovered (R) humans and susceptible (U) and infected (V) mosquitoes in how far the fast time scale of the mosquito epidemiology can be slaved by the slower human epidemiology, so that for the understanding of human disease data mainly the dynamics of the human time scale is essential and only slightly perturbed by the mosquito dynamics. This analysis of the SIRUV model is qualitatively in agreement with a previously investigated simpler SISUV model, hence a feature of vector-borne diseases in general. American Institute of Physics 2012-09-26 /pmc/articles/PMC7108776/ /pubmed/32255871 http://dx.doi.org/10.1063/1.4756398 Text en All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).
spellingShingle Symposia
Rocha, Filipe
Aguiar, Maíra
Souza, Max
Stollenwerk, Nico
Understanding the effect of vector dynamics in epidemic models using center manifold analysis
title Understanding the effect of vector dynamics in epidemic models using center manifold analysis
title_full Understanding the effect of vector dynamics in epidemic models using center manifold analysis
title_fullStr Understanding the effect of vector dynamics in epidemic models using center manifold analysis
title_full_unstemmed Understanding the effect of vector dynamics in epidemic models using center manifold analysis
title_short Understanding the effect of vector dynamics in epidemic models using center manifold analysis
title_sort understanding the effect of vector dynamics in epidemic models using center manifold analysis
topic Symposia
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7108776/
https://www.ncbi.nlm.nih.gov/pubmed/32255871
http://dx.doi.org/10.1063/1.4756398
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