Phylogeography of Dengue Virus Serotype 4, Brazil, 2010–2011

Nunes, Márcio Roberto Teixeira; Faria, Nuno Rodrigues; Vasconcelos, Helena Baldez; Medeiros, Daniele Barbosa de Almeida; Lima, Clayton Pereira Silva de; Carvalho, Valéria Lima; Silva, Eliana Vieira Pinto da; Cardoso, Jedson Ferreira; Sousa, Edivaldo Costa; Nunes, Keley Nascimento Barbosa; Rodrigues, Sueli Guerreiro; Abecasis, Ana; Suchard, Marc A.; Lemey, Philippe; Vasconcelos, Pedro Fernando da Costa

doi:10.3201/eid1811.120217

Cited by 76 publications

(90 citation statements)

References 28 publications

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“…Analyses were performed under a GTR + I + G nucleotide substitution model, a Bayesian skyline coalescence model (Drummond et al, 2002, Drummond et al, 2005, a relaxed uncorrelated lognormal molecular clock model (Drummond et al, 2006), and a reversible discrete Bayesian phylogeographic model with a continuous-time Markov chain (CTMC) rate reference prior (Ferreira and Suchard, 2008). The number of viral migrations between locations was estimated using 'Markov Jump' counts Suchard, 2008a, 2008b) of location-state transitions along the posterior tree distribution as previously described (Nunes et al, 2012;Talbi et al, 2010). MCMC chains were run for 1-25 × 10 7 generations.…”

Section: Evolutionary and Phylogeographic Analysesmentioning

confidence: 99%

Phylodynamics of influenza A(H3N2) in South America, 1999–2012

Born

Siqueira

Faria

et al. 2016

Infection, Genetics and Evolution

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Section: Evolutionary and Phylogeographic Analysesmentioning

confidence: 99%

Phylodynamics of influenza A(H3N2) in South America, 1999–2012

Born

Siqueira

Faria

et al. 2016

Infection, Genetics and Evolution

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“…We then found the corresponding outbreak period in each of five regions (North, Northeast, South, Southeast and Centre-West) to obtain upper and lower bounds for the growth rate λ and hence upper and lower bounds for the serotypespecific basic reproduction numbers for each of the Dengue virus serotypes (denoted DENv1-DENv4) and each outbreak. While there were four major outbreaks during the surveyed period for DENv1-DENv3, DENv4 only reemerged in Brazil in 2010 [39] and is responsible for two major epidemics in 2012 and 2013. The mean of the basic reproduction numbers of the considered outbreaks are taken as the serotype-specific reproduction number, while the lowest and highest values in the regions are considered upper and lower bounds.…”

Section: Serotype-specific Reproduction Numbersmentioning

confidence: 99%

Analysis of the optimal vaccination age for dengue in Brazil with a tetravalent dengue vaccine

Maier

Huang

Massad

et al. 2017

Mathematical Biosciences

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Highlights• Mathematical model to analyse the optimal vaccination age against Dengue in Brazil.• Use epidemiological data from Brazil.• Consider both hospitalisation and lethality risks.• Model possible Dengue Antibody Enhancement.• Calculations repeated with third and fourth infections asymptomatic. AbstractIn this paper we study a mathematical model to analyse the optimal vaccination age against Dengue in Brazil. Data from Brazil are used to estimate the basic reproduction numbers for each of the four Dengue serotypes and then the optimal vaccination age is calculated using a method due to Hethcote [1]. The vaccine has different efficacies against each serotype. Vaccination that is too early is ineffective as individuals are protected by maternal antibodies but leaving vaccination until later may allow the disease to spread.First of all the optimal vaccination ages are calculated where there is just one serotype in circulation and then when there are multiple serotypes. The calculations are done using data both assuming constant vaccine efficacy and agedependent vaccine efficacy against a given serotype. The multiple serotype calculations are repeated assuming that the first infection is a risky infection and that it is not (to model Dengue Antibody Enhancement). The calculations are then repeated when any third or fourth Dengue infections are asymptomatic, so that two Dengue infections with different serotypes provide effective permanent immunity. The calculations are also repeated when the age-dependent risk function (fitted to Brazilian data) is hospitalisation from Dengue and when it is mortality due to Dengue. We find a wide variety of optimal vaccination ages depending on both the serotypes in circulation and the assumptions of the model.

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“…Aside from a brief focal epidemic at the time, DENV4 infection has not been detected in the country until 2010, when it reemerged in the municipalities of Boa Vista and Cantá in the Roraima State of Brazil (Bartlett et al, 2009). The virus quickly spread to different regions in north, northeast, and southeast Brazil (Nunes et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Drosha, DGCR8, and Dicer mRNAs are down-regulated in human cells infected with dengue virus 4, and play a role in viral pathogenesis

Casseb¹,

Simith²,

Melo³

et al. 2016

Genet. Mol. Res.

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ABSTRACT. Dengue virus (DENV) and its four serotypes (DENV1-4) belong to the Flavivirus genus of the Flaviviridae family. DENV infection is a life-threatening disease, which results in up to 20,000 deaths each year. Viruses have been shown to encode trans-regulatory small RNAs, or microRNAs (miRNAs), which bind to messenger RNA and negatively regulate host or viral gene expression. During DENV infections, miRNAs interact with proteins in the RNAi pathway, and are processed by ribonucleases such as Dicer and Drosha. This study aims to investigate Drosha, DGCR8, and Dicer expression levels in human A-549 cells following DENV4 infection. DENV4 infected A-549 cells were collected daily for 5 days, and RNA was extracted to quantify viral load. Gene expression of Drosha, Dicer, and DGCR8 was determined using quantitative PCR (RT-qPCR). We found that DENV4 infection exhibited the highest viral load 3 days post-infection. Dicer, Drosha, and DGCR8 showed reduced expression following DENV4 infection as compared with negative controls. In addition, we hypothesize that reduced expression of DGCR8 may not only be related to miRNA biogenesis, but also other small RNAs. This study may change our understanding regarding the relationship between host cells and the dengue virus.

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Phylogeography of Dengue Virus Serotype 4, Brazil, 2010–2011

Abstract: Multiple origins indicate this serotype was introduced in several episodes.

Cited by 76 publications

References 28 publications

Phylodynamics of influenza A(H3N2) in South America, 1999–2012

Phylodynamics of influenza A(H3N2) in South America, 1999–2012

Analysis of the optimal vaccination age for dengue in Brazil with a tetravalent dengue vaccine

Drosha, DGCR8, and Dicer mRNAs are down-regulated in human cells infected with dengue virus 4, and play a role in viral pathogenesis

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