Seasonal and nonseasonal dynamics of Aedes aegypti in Rio de Janeiro, Brazil : fitting mathematical models to trap data.

Detalhes bibliográficos
Autor(a) principal: Lana, Raquel Martins
Data de Publicação: 2014
Outros Autores: Carneiro, Tiago Garcia de Senna, Rocha, Nildimar Honorio, Codeço, Cláudia Torres
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFOP
Texto Completo: http://www.repositorio.ufop.br/handle/123456789/4368
https://doi.org/10.1016/j.actatropica.2013.07.025
Resumo: Mathematical models suggest that seasonal transmission and temporary cross-immunity betweenserotypes can determine the characteristic multi-year dynamics of dengue fever. Seasonal transmis-sion is attributed to the effect of climate on mosquito abundance and within host virus dynamics. In thisstudy, we validate a set of temperature and density dependent entomological models that are built-incomponents of most dengue models by fitting them to time series of ovitrap data from three distinctneighborhoods in Rio de Janeiro, Brazil. The results indicate that neighborhoods differ in the strength ofthe seasonal component and that commonly used models tend to assume more seasonal structure thanfound in data. Future dengue models should investigate the impact of heterogeneous levels of seasonalityon dengue dynamics as it may affect virus maintenance from year to year, as well as the risk of diseaseoutbreaks.
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spelling Seasonal and nonseasonal dynamics of Aedes aegypti in Rio de Janeiro, Brazil : fitting mathematical models to trap data.Aedes aegyptiMathematical modelDengueSeasonalityMathematical models suggest that seasonal transmission and temporary cross-immunity betweenserotypes can determine the characteristic multi-year dynamics of dengue fever. Seasonal transmis-sion is attributed to the effect of climate on mosquito abundance and within host virus dynamics. In thisstudy, we validate a set of temperature and density dependent entomological models that are built-incomponents of most dengue models by fitting them to time series of ovitrap data from three distinctneighborhoods in Rio de Janeiro, Brazil. The results indicate that neighborhoods differ in the strength ofthe seasonal component and that commonly used models tend to assume more seasonal structure thanfound in data. Future dengue models should investigate the impact of heterogeneous levels of seasonalityon dengue dynamics as it may affect virus maintenance from year to year, as well as the risk of diseaseoutbreaks.2015-01-26T11:17:52Z2015-01-26T11:17:52Z2014info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfLANA, R. M. et al. Seasonal and nonseasonal dynamics of Aedes aegypti in Rio de Janeiro, Brazil: fitting mathematical models to trap data. Acta Tropica, v. 1, p. 25-32, 2013. Disponível em: <http://www.sciencedirect.com/science/article/pii/S0001706X13002052>. Acesso em: 23 jan. 2015.0001-706Xhttp://www.repositorio.ufop.br/handle/123456789/4368https://doi.org/10.1016/j.actatropica.2013.07.025This article is published under the terms of the Creative Commons Attribution-NonCommercial-No Derivatives License (CC BY NC ND). For non-commercial purposes you may distribute and copy the article and include it in a collective work (such as an anthology), provided you do not alter or modify the article, without permission from Elsevier. The original work must always be appropriately credited. Fonte: Elsevier <https://s100.copyright.com/AppDispatchServlet>. Acesso em: 21 jan. 2015.info:eu-repo/semantics/openAccessLana, Raquel MartinsCarneiro, Tiago Garcia de SennaRocha, Nildimar HonorioCodeço, Cláudia Torresengreponame:Repositório Institucional da UFOPinstname:Universidade Federal de Ouro Preto (UFOP)instacron:UFOP2019-06-12T15:59:43Zoai:repositorio.ufop.br:123456789/4368Repositório InstitucionalPUBhttp://www.repositorio.ufop.br/oai/requestrepositorio@ufop.edu.bropendoar:32332019-06-12T15:59:43Repositório Institucional da UFOP - Universidade Federal de Ouro Preto (UFOP)false
dc.title.none.fl_str_mv Seasonal and nonseasonal dynamics of Aedes aegypti in Rio de Janeiro, Brazil : fitting mathematical models to trap data.
title Seasonal and nonseasonal dynamics of Aedes aegypti in Rio de Janeiro, Brazil : fitting mathematical models to trap data.
spellingShingle Seasonal and nonseasonal dynamics of Aedes aegypti in Rio de Janeiro, Brazil : fitting mathematical models to trap data.
Lana, Raquel Martins
Aedes aegypti
Mathematical model
Dengue
Seasonality
title_short Seasonal and nonseasonal dynamics of Aedes aegypti in Rio de Janeiro, Brazil : fitting mathematical models to trap data.
title_full Seasonal and nonseasonal dynamics of Aedes aegypti in Rio de Janeiro, Brazil : fitting mathematical models to trap data.
title_fullStr Seasonal and nonseasonal dynamics of Aedes aegypti in Rio de Janeiro, Brazil : fitting mathematical models to trap data.
title_full_unstemmed Seasonal and nonseasonal dynamics of Aedes aegypti in Rio de Janeiro, Brazil : fitting mathematical models to trap data.
title_sort Seasonal and nonseasonal dynamics of Aedes aegypti in Rio de Janeiro, Brazil : fitting mathematical models to trap data.
author Lana, Raquel Martins
author_facet Lana, Raquel Martins
Carneiro, Tiago Garcia de Senna
Rocha, Nildimar Honorio
Codeço, Cláudia Torres
author_role author
author2 Carneiro, Tiago Garcia de Senna
Rocha, Nildimar Honorio
Codeço, Cláudia Torres
author2_role author
author
author
dc.contributor.author.fl_str_mv Lana, Raquel Martins
Carneiro, Tiago Garcia de Senna
Rocha, Nildimar Honorio
Codeço, Cláudia Torres
dc.subject.por.fl_str_mv Aedes aegypti
Mathematical model
Dengue
Seasonality
topic Aedes aegypti
Mathematical model
Dengue
Seasonality
description Mathematical models suggest that seasonal transmission and temporary cross-immunity betweenserotypes can determine the characteristic multi-year dynamics of dengue fever. Seasonal transmis-sion is attributed to the effect of climate on mosquito abundance and within host virus dynamics. In thisstudy, we validate a set of temperature and density dependent entomological models that are built-incomponents of most dengue models by fitting them to time series of ovitrap data from three distinctneighborhoods in Rio de Janeiro, Brazil. The results indicate that neighborhoods differ in the strength ofthe seasonal component and that commonly used models tend to assume more seasonal structure thanfound in data. Future dengue models should investigate the impact of heterogeneous levels of seasonalityon dengue dynamics as it may affect virus maintenance from year to year, as well as the risk of diseaseoutbreaks.
publishDate 2014
dc.date.none.fl_str_mv 2014
2015-01-26T11:17:52Z
2015-01-26T11:17:52Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv LANA, R. M. et al. Seasonal and nonseasonal dynamics of Aedes aegypti in Rio de Janeiro, Brazil: fitting mathematical models to trap data. Acta Tropica, v. 1, p. 25-32, 2013. Disponível em: <http://www.sciencedirect.com/science/article/pii/S0001706X13002052>. Acesso em: 23 jan. 2015.
0001-706X
http://www.repositorio.ufop.br/handle/123456789/4368
https://doi.org/10.1016/j.actatropica.2013.07.025
identifier_str_mv LANA, R. M. et al. Seasonal and nonseasonal dynamics of Aedes aegypti in Rio de Janeiro, Brazil: fitting mathematical models to trap data. Acta Tropica, v. 1, p. 25-32, 2013. Disponível em: <http://www.sciencedirect.com/science/article/pii/S0001706X13002052>. Acesso em: 23 jan. 2015.
0001-706X
url http://www.repositorio.ufop.br/handle/123456789/4368
https://doi.org/10.1016/j.actatropica.2013.07.025
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFOP
instname:Universidade Federal de Ouro Preto (UFOP)
instacron:UFOP
instname_str Universidade Federal de Ouro Preto (UFOP)
instacron_str UFOP
institution UFOP
reponame_str Repositório Institucional da UFOP
collection Repositório Institucional da UFOP
repository.name.fl_str_mv Repositório Institucional da UFOP - Universidade Federal de Ouro Preto (UFOP)
repository.mail.fl_str_mv repositorio@ufop.edu.br
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