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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Institute of Physics
2012
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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. |
format | Online Article Text |
id | pubmed-7108776 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | American Institute of Physics |
record_format | MEDLINE/PubMed |
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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