Heterogeneities in dengue spatial-temporal transmission in Brazilian cities and its influence on the optimal age of vaccination

Detalhes bibliográficos
Autor(a) principal: Cardim, Luciana L.
Data de Publicação: 2019
Outros Autores: Pinho, Suani T.R., Teixeira, M. Gloria, Costa, M. Conceição N., Esteva, M. Lourdes, Ferreira, Claudia P. [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1186/s12889-019-6426-9
http://hdl.handle.net/11449/187322
Resumo: Background: The development of a safe and effective vaccine is considered crucial for dengue transmission control since vetor control has been failed; some potential candidates are currently in test, and in this context theoretical studies are necessary to evaluate vaccination strategies such as the age groups that should be vaccinated, the percentage of the population at risk, and the target geographic regions to make dengue control feasible and optimal. Methods: A partial differential model is used to mimics dengue transmission in human population in order to estimate the optimal vaccination age, using data collected from dengue reported cases in ten cities of Brazil from 2001 to 2014. For this purpose, the basic reproduction number of the disease was minimized assuming a single-dose vaccination strategy, equal vaccine efficacy for all circulating serotypes, and no vaccine failure. Numerical methods were used to assess the optimal vaccination age and its confidence age range. Results: The results reveal complex spatial-temporal patterns associated to the disease transmission, highlighting the heterogeneity in defining the target population for dengue vaccination. However, the values obtained for the optimal age of vaccination, as targeting individuals under 13 years old, are compatible with the ones reported in similar studies in Brazil. The results also show that the optimal age for vaccination in general does not match with the age of the highest number of cases. Conclusions: The variation of the optimal age for vaccination across the country reflects heterogeneities in dengue spatial-temporal transmission in Brazilian cities, and can be used to define the target population and cities to optimize vaccination strategies in a context of high cost and low quantity of available vaccine.
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spelling Heterogeneities in dengue spatial-temporal transmission in Brazilian cities and its influence on the optimal age of vaccinationAge profileMathematical modelVaccination strategiesBackground: The development of a safe and effective vaccine is considered crucial for dengue transmission control since vetor control has been failed; some potential candidates are currently in test, and in this context theoretical studies are necessary to evaluate vaccination strategies such as the age groups that should be vaccinated, the percentage of the population at risk, and the target geographic regions to make dengue control feasible and optimal. Methods: A partial differential model is used to mimics dengue transmission in human population in order to estimate the optimal vaccination age, using data collected from dengue reported cases in ten cities of Brazil from 2001 to 2014. For this purpose, the basic reproduction number of the disease was minimized assuming a single-dose vaccination strategy, equal vaccine efficacy for all circulating serotypes, and no vaccine failure. Numerical methods were used to assess the optimal vaccination age and its confidence age range. Results: The results reveal complex spatial-temporal patterns associated to the disease transmission, highlighting the heterogeneity in defining the target population for dengue vaccination. However, the values obtained for the optimal age of vaccination, as targeting individuals under 13 years old, are compatible with the ones reported in similar studies in Brazil. The results also show that the optimal age for vaccination in general does not match with the age of the highest number of cases. Conclusions: The variation of the optimal age for vaccination across the country reflects heterogeneities in dengue spatial-temporal transmission in Brazilian cities, and can be used to define the target population and cities to optimize vaccination strategies in a context of high cost and low quantity of available vaccine.Instituto de Saúde Coletiva Universidade Federal da BahiaInstituto de Física Universidade Federal da Bahia, Rua Caetano Moura, Campus Universitário de OndinaFacultad de Ciencias Universidad Nacional Autónoma de MéxicoSão Paulo State University (UNESP) Institute of Biosciences Department of BiostatisticsSão Paulo State University (UNESP) Institute of Biosciences Department of BiostatisticsUniversidade Federal da Bahia (UFBA)Universidad Nacional Autónoma de MéxicoUniversidade Estadual Paulista (Unesp)Cardim, Luciana L.Pinho, Suani T.R.Teixeira, M. GloriaCosta, M. Conceição N.Esteva, M. LourdesFerreira, Claudia P. [UNESP]2019-10-06T15:32:36Z2019-10-06T15:32:36Z2019-02-06info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1186/s12889-019-6426-9BMC Public Health, v. 19, n. 1, 2019.1471-2458http://hdl.handle.net/11449/18732210.1186/s12889-019-6426-92-s2.0-8506111234420527496982046170000-0002-9404-6098Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengBMC Public Healthinfo:eu-repo/semantics/openAccess2021-11-18T19:11:14Zoai:repositorio.unesp.br:11449/187322Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:16:09.772749Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Heterogeneities in dengue spatial-temporal transmission in Brazilian cities and its influence on the optimal age of vaccination
title Heterogeneities in dengue spatial-temporal transmission in Brazilian cities and its influence on the optimal age of vaccination
spellingShingle Heterogeneities in dengue spatial-temporal transmission in Brazilian cities and its influence on the optimal age of vaccination
Cardim, Luciana L.
Age profile
Mathematical model
Vaccination strategies
title_short Heterogeneities in dengue spatial-temporal transmission in Brazilian cities and its influence on the optimal age of vaccination
title_full Heterogeneities in dengue spatial-temporal transmission in Brazilian cities and its influence on the optimal age of vaccination
title_fullStr Heterogeneities in dengue spatial-temporal transmission in Brazilian cities and its influence on the optimal age of vaccination
title_full_unstemmed Heterogeneities in dengue spatial-temporal transmission in Brazilian cities and its influence on the optimal age of vaccination
title_sort Heterogeneities in dengue spatial-temporal transmission in Brazilian cities and its influence on the optimal age of vaccination
author Cardim, Luciana L.
author_facet Cardim, Luciana L.
Pinho, Suani T.R.
Teixeira, M. Gloria
Costa, M. Conceição N.
Esteva, M. Lourdes
Ferreira, Claudia P. [UNESP]
author_role author
author2 Pinho, Suani T.R.
Teixeira, M. Gloria
Costa, M. Conceição N.
Esteva, M. Lourdes
Ferreira, Claudia P. [UNESP]
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Federal da Bahia (UFBA)
Universidad Nacional Autónoma de México
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Cardim, Luciana L.
Pinho, Suani T.R.
Teixeira, M. Gloria
Costa, M. Conceição N.
Esteva, M. Lourdes
Ferreira, Claudia P. [UNESP]
dc.subject.por.fl_str_mv Age profile
Mathematical model
Vaccination strategies
topic Age profile
Mathematical model
Vaccination strategies
description Background: The development of a safe and effective vaccine is considered crucial for dengue transmission control since vetor control has been failed; some potential candidates are currently in test, and in this context theoretical studies are necessary to evaluate vaccination strategies such as the age groups that should be vaccinated, the percentage of the population at risk, and the target geographic regions to make dengue control feasible and optimal. Methods: A partial differential model is used to mimics dengue transmission in human population in order to estimate the optimal vaccination age, using data collected from dengue reported cases in ten cities of Brazil from 2001 to 2014. For this purpose, the basic reproduction number of the disease was minimized assuming a single-dose vaccination strategy, equal vaccine efficacy for all circulating serotypes, and no vaccine failure. Numerical methods were used to assess the optimal vaccination age and its confidence age range. Results: The results reveal complex spatial-temporal patterns associated to the disease transmission, highlighting the heterogeneity in defining the target population for dengue vaccination. However, the values obtained for the optimal age of vaccination, as targeting individuals under 13 years old, are compatible with the ones reported in similar studies in Brazil. The results also show that the optimal age for vaccination in general does not match with the age of the highest number of cases. Conclusions: The variation of the optimal age for vaccination across the country reflects heterogeneities in dengue spatial-temporal transmission in Brazilian cities, and can be used to define the target population and cities to optimize vaccination strategies in a context of high cost and low quantity of available vaccine.
publishDate 2019
dc.date.none.fl_str_mv 2019-10-06T15:32:36Z
2019-10-06T15:32:36Z
2019-02-06
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 http://dx.doi.org/10.1186/s12889-019-6426-9
BMC Public Health, v. 19, n. 1, 2019.
1471-2458
http://hdl.handle.net/11449/187322
10.1186/s12889-019-6426-9
2-s2.0-85061112344
2052749698204617
0000-0002-9404-6098
url http://dx.doi.org/10.1186/s12889-019-6426-9
http://hdl.handle.net/11449/187322
identifier_str_mv BMC Public Health, v. 19, n. 1, 2019.
1471-2458
10.1186/s12889-019-6426-9
2-s2.0-85061112344
2052749698204617
0000-0002-9404-6098
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv BMC Public Health
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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