2023
DOI: 10.1126/sciadv.adg9204
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Genomic epidemiology unveils the dynamics and spatial corridor behind the Yellow Fever virus outbreak in Southern Brazil

Marta Giovanetti,
Francesco Pinotti,
Camila Zanluca
et al.

Abstract: 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. Spat… Show more

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Cited by 7 publications
(3 citation statements)
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References 69 publications
(73 reference statements)
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“…Increasingly, surveillance also involves genetic data, for pathogen diagnosis and risk assessment, as well as to identify the source of outbreaks and to characterise pathogen spread [32] . Linked with locations, pathogen genetic data have uncovered disease movement; from global migration dynamics to local transmission pathways for pathogens such as Influenza virus [33,34] , Ebola virus [35] , Zika virus [36] , Yellow fever virus [37,38] , Mpox virus [39][40][41][42] and SARS-CoV-2 [43] . Sequencing approaches have the potential to enhance rabies surveillance and provide actionable information to inform control programs locally and globally as part of "Zero by 30".…”
Section: Cladementioning
confidence: 99%
“…Increasingly, surveillance also involves genetic data, for pathogen diagnosis and risk assessment, as well as to identify the source of outbreaks and to characterise pathogen spread [32] . Linked with locations, pathogen genetic data have uncovered disease movement; from global migration dynamics to local transmission pathways for pathogens such as Influenza virus [33,34] , Ebola virus [35] , Zika virus [36] , Yellow fever virus [37,38] , Mpox virus [39][40][41][42] and SARS-CoV-2 [43] . Sequencing approaches have the potential to enhance rabies surveillance and provide actionable information to inform control programs locally and globally as part of "Zero by 30".…”
Section: Cladementioning
confidence: 99%
“…Since then, YFV has spread into densely populated areas in Southeastern Brazil (Delatorre et al, 2019; Giovanetti et al, 2019; Figueiredo et al, 2020; Rezende et al, 2018; Ministério da Saúde, 2021; Silva et al, 2020), indicating that this region has suitable ecological and climatic conditions for YFV maintenance during the epidemic and interepidemic seasons (Rezende et al, 2018; Sacchetto et al, 2020b; Abreu et al, 2019; Possas et al, 2018). Between July 2014 and June 2023, 2,047 NHPs deaths; 2,289 human cases; and 780 human deaths (with a case fatality rate of 34%) caused by YFV were confirmed in the country (Giovanetti et al, 2023; PAHO, 2022; PAHO, 2023).…”
Section: Introductionmentioning
confidence: 99%
“…The factors related to the re-emergence and spread of the virus to areas that had for a long time been considered unaffected are still poorly understood, but it is hypothesized that deforestation, habitat fragmentation [14][15][16][17][18] and climate change [15,[19][20][21] may affect the extrinsic incubation period, abundance and vector spatial distribution patterns [15,[22][23][24]. Specifically, infected mosquitoes could be using stepping stones, forest corridors, and/or forest roads to disperse to new areas [17,25,26], where they could find susceptible NHP populations, leading to new WYF outbreaks [6,21,23].…”
Section: Introductionmentioning
confidence: 99%