Genomic epidemiology unveils the dynamics and spatial corridor behind the Yellow Fever virus outbreak in Southern Brazil
Autor(a) principal: | |
---|---|
Data de Publicação: | 2023 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/265155 |
Resumo: | Despite the considerable morbidity and mortality of yellow fever virus (YFV) infections in Brazil, our understanding of disease outbreaks is hampered by limited viral genomic data. Here, through a combination of phylogenetic and epidemiological models, we reconstructed the recent transmission history of YFV within different epidemic seasons in Brazil. A suitability index based on the highly domesticated Aedes aegypti was able to capture the seasonality of reported human infections. Spatial modeling revealed spatial hotspots with both past reporting and low vaccination coverage, which coincided with many of the largest urban centers in the Southeast. Phylodynamic analysis unraveled the circulation of three distinct lineages and provided proof of the directionality of a known spatial corridor that connects the endemic North with the extra-Amazonian basin. This study illustrates that genomics linked with eco-epidemiology can provide new insights into the landscape of YFV transmission, augmenting traditional approaches to infectious disease surveillance and control. |
id |
UFRGS-2_f5f0c7ae1a1a19cb46ba31b19c9a0d95 |
---|---|
oai_identifier_str |
oai:www.lume.ufrgs.br:10183/265155 |
network_acronym_str |
UFRGS-2 |
network_name_str |
Repositório Institucional da UFRGS |
repository_id_str |
|
spelling |
Giovanetti, MartaCampos, Fabrício SouzaSantos, Cláudia Nunes Duarte dos2023-09-23T03:38:29Z20232375-2548http://hdl.handle.net/10183/265155001177065Despite the considerable morbidity and mortality of yellow fever virus (YFV) infections in Brazil, our understanding of disease outbreaks is hampered by limited viral genomic data. Here, through a combination of phylogenetic and epidemiological models, we reconstructed the recent transmission history of YFV within different epidemic seasons in Brazil. A suitability index based on the highly domesticated Aedes aegypti was able to capture the seasonality of reported human infections. Spatial modeling revealed spatial hotspots with both past reporting and low vaccination coverage, which coincided with many of the largest urban centers in the Southeast. Phylodynamic analysis unraveled the circulation of three distinct lineages and provided proof of the directionality of a known spatial corridor that connects the endemic North with the extra-Amazonian basin. This study illustrates that genomics linked with eco-epidemiology can provide new insights into the landscape of YFV transmission, augmenting traditional approaches to infectious disease surveillance and control.application/pdfengScience advances. Washington, DC. Vol. 9, no. 35 (Sept. 2023), eadg9204, 12 p.Vírus da febre amarelaEpidemiologiaSequenciamento por nanoporosGenomaGenomic epidemiology unveils the dynamics and spatial corridor behind the Yellow Fever virus outbreak in Southern BrazilEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001177065.pdf.txt001177065.pdf.txtExtracted Texttext/plain85590http://www.lume.ufrgs.br/bitstream/10183/265155/2/001177065.pdf.txt62bf63a0b0d9105e9e319094cff5ccdcMD52ORIGINAL001177065.pdfTexto completo (inglês)application/pdf1246982http://www.lume.ufrgs.br/bitstream/10183/265155/1/001177065.pdf9ed33bf5fd353f78c19347be72e4485cMD5110183/2651552023-09-24 03:40:15.650207oai:www.lume.ufrgs.br:10183/265155Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2023-09-24T06:40:15Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
Genomic epidemiology unveils the dynamics and spatial corridor behind the Yellow Fever virus outbreak in Southern Brazil |
title |
Genomic epidemiology unveils the dynamics and spatial corridor behind the Yellow Fever virus outbreak in Southern Brazil |
spellingShingle |
Genomic epidemiology unveils the dynamics and spatial corridor behind the Yellow Fever virus outbreak in Southern Brazil Giovanetti, Marta Vírus da febre amarela Epidemiologia Sequenciamento por nanoporos Genoma |
title_short |
Genomic epidemiology unveils the dynamics and spatial corridor behind the Yellow Fever virus outbreak in Southern Brazil |
title_full |
Genomic epidemiology unveils the dynamics and spatial corridor behind the Yellow Fever virus outbreak in Southern Brazil |
title_fullStr |
Genomic epidemiology unveils the dynamics and spatial corridor behind the Yellow Fever virus outbreak in Southern Brazil |
title_full_unstemmed |
Genomic epidemiology unveils the dynamics and spatial corridor behind the Yellow Fever virus outbreak in Southern Brazil |
title_sort |
Genomic epidemiology unveils the dynamics and spatial corridor behind the Yellow Fever virus outbreak in Southern Brazil |
author |
Giovanetti, Marta |
author_facet |
Giovanetti, Marta Campos, Fabrício Souza Santos, Cláudia Nunes Duarte dos |
author_role |
author |
author2 |
Campos, Fabrício Souza Santos, Cláudia Nunes Duarte dos |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Giovanetti, Marta Campos, Fabrício Souza Santos, Cláudia Nunes Duarte dos |
dc.subject.por.fl_str_mv |
Vírus da febre amarela Epidemiologia Sequenciamento por nanoporos Genoma |
topic |
Vírus da febre amarela Epidemiologia Sequenciamento por nanoporos Genoma |
description |
Despite the considerable morbidity and mortality of yellow fever virus (YFV) infections in Brazil, our understanding of disease outbreaks is hampered by limited viral genomic data. Here, through a combination of phylogenetic and epidemiological models, we reconstructed the recent transmission history of YFV within different epidemic seasons in Brazil. A suitability index based on the highly domesticated Aedes aegypti was able to capture the seasonality of reported human infections. Spatial modeling revealed spatial hotspots with both past reporting and low vaccination coverage, which coincided with many of the largest urban centers in the Southeast. Phylodynamic analysis unraveled the circulation of three distinct lineages and provided proof of the directionality of a known spatial corridor that connects the endemic North with the extra-Amazonian basin. This study illustrates that genomics linked with eco-epidemiology can provide new insights into the landscape of YFV transmission, augmenting traditional approaches to infectious disease surveillance and control. |
publishDate |
2023 |
dc.date.accessioned.fl_str_mv |
2023-09-23T03:38:29Z |
dc.date.issued.fl_str_mv |
2023 |
dc.type.driver.fl_str_mv |
Estrangeiro info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10183/265155 |
dc.identifier.issn.pt_BR.fl_str_mv |
2375-2548 |
dc.identifier.nrb.pt_BR.fl_str_mv |
001177065 |
identifier_str_mv |
2375-2548 001177065 |
url |
http://hdl.handle.net/10183/265155 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Science advances. Washington, DC. Vol. 9, no. 35 (Sept. 2023), eadg9204, 12 p. |
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 UFRGS instname:Universidade Federal do Rio Grande do Sul (UFRGS) instacron:UFRGS |
instname_str |
Universidade Federal do Rio Grande do Sul (UFRGS) |
instacron_str |
UFRGS |
institution |
UFRGS |
reponame_str |
Repositório Institucional da UFRGS |
collection |
Repositório Institucional da UFRGS |
bitstream.url.fl_str_mv |
http://www.lume.ufrgs.br/bitstream/10183/265155/2/001177065.pdf.txt http://www.lume.ufrgs.br/bitstream/10183/265155/1/001177065.pdf |
bitstream.checksum.fl_str_mv |
62bf63a0b0d9105e9e319094cff5ccdc 9ed33bf5fd353f78c19347be72e4485c |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 |
repository.name.fl_str_mv |
Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS) |
repository.mail.fl_str_mv |
|
_version_ |
1815447839468158976 |