Infection of the central nervous system with dengue virus 3 genotype I causing neurological manifestations in Brazil

Oliveira, Danilo Bretas de; Machado, Guilherme Henrique; Almeida, Gabriel Marchesan; Ferreira, Paulo César Peregrino; Bonjardim, Cláudio Antônio; Trindade, Giliane de Souza; Abrahão, Jônatas Santos; Kroon, Erna Geessien

doi:10.1590/0037-8682-0208-2015

Cited by 15 publications

(17 citation statements)

References 13 publications

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“…The features observed in the imaging studies together with the clinical presentation and laboratory tests were consistent with those likely to be found in acute dengue encephalitis [1][2][3] . Complementary investigations ruled out other possible causes of neurological disorders [1][2][3] . After supportive therapy in the ICU, the patient improved and subsequently discharged.…”

supporting

confidence: 74%

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Acute dengue encephalitis in a female Brazilian adult

Queiroz¹,

Prado

Abud³

2017

Rev. Soc. Bras. Med. Trop.

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supporting

confidence: 74%

“…Departamento de Radiologia, MED -Medicina Diagnóstica, Hospital São Lucas, Ribeirão Preto, SP, Brasil. [3]. Curso de Graduação de Medicina, Universidade de Ribeirão Preto, Ribeirão Preto, SP, Brasil.…”

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Acute dengue encephalitis in a female Brazilian adult

Queiroz¹,

Prado

Abud³

2017

Rev. Soc. Bras. Med. Trop.

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“…Our report describes the isolation and complete genome analysis of DENV-3 from CSF of an encephalitis patient in Jakarta, Indonesia. Although a number of studies have reported the presence of DENV RNA and infectious virus in the CSF of encephalitis patients, there are only few published studies detailing the findings on the genetic characteristics of the neurotropic DENV strains, including one DENV-4 complete genome sequence, one DENV-3 partial capsid-prM sequence, one DENV-3 envelope, and two DENV-2 partial envelope-NS1 sequences isolated directly from CSF of encephalitis patients [ 36 – 39 ]. To our knowledge, this is the first complete genome analysis of DENV-3 isolated from CSF in a patient with neurological manifestations, underscoring the need for more molecular studies to better characterize neurotropic DENV strains.…”

Section: Discussionmentioning

confidence: 99%

Isolation and complete genome analysis of neurotropic dengue virus serotype 3 from the cerebrospinal fluid of an encephalitis patient

et al. 2018

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Although neurological manifestations associated with dengue viruses (DENV) infection have been reported, there is very limited information on the genetic characteristics of neurotropic DENV. Here we describe the isolation and complete genome analysis of DENV serotype 3 (DENV-3) from cerebrospinal fluid of an encephalitis paediatric patient in Jakarta, Indonesia. Next-generation sequencing was employed to deduce the complete genome of the neurotropic DENV-3 isolate. Based on complete genome analysis, two unique and nine uncommon amino acid changes in the protein coding region were observed in the virus. A phylogenetic tree and molecular clock analysis revealed that the neurotropic virus was a member of Sumatran-Javan clade of DENV-3 genotype I and shared a common ancestor with other isolates from Jakarta around 1998. This is the first report of neurotropic DENV-3 complete genome analysis, providing detailed information on the genetic characteristics of this virus.

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“…Many machine learning algorithms, for example, Naive Bayes, J48, REP Tree, RT, and SMO etc. Out of all these algorithms Naive Bayes and J48 are the best execution classifier procedures, which takes fewer time to run and shows ROC area 0.815 [10,11]. Artificial Neural Network, ANN is likewise utilized for the forecast of the dengue which takes clinical indications and signs as input and uses multilayer feed-forward neural networks [12,22].…”

Section: Literature Reviewmentioning

confidence: 99%

Classification of Dengue using Machine Learning Techniques

Sajana¹,

Navya²,

Gayathri³

et al. 2018

IJET

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Dengue infection belongs to the family of virus, Flaviviridae, consisting of four serotypes which spread through the chomp of contaminated Aedes mosquitoes. Around 2.5 billion individuals live in dengue-hazard locales with around 100 million new cases every year around the world. The worldwide predominance of dengue has grown dramatically in later decades. The illness is now endemic in more than 100 nations in Africa, the Americas, the eastern Mediterranean, South East Asia and the western pacific south Asia and the western pacific are the most genuinely influenced. In 1970's only nine nations had encountered DHF plagues, a number which had expanded more than four- crease by 1995[30].Numerous clinical signs are utilized for diagnosing of fever. In any case, it has been an awesome test for the doctors to distinguish the level of hazard in dengue patients utilizing clinical indications. But the disadvantages of clinical procedures make machine learning more powerful in diagnosing of fever in affected patients. Subsequently, this study plans to apply a non-invasive machine learning techniques to help the doctors for ordering the hazard in dengue patients. Conducted a comparison study among Simple Classification and Regression Tree(CART), Multi-layer perception (MLP) and C4.5 algorithms, based on which demonstrating that Simple CART algorithm shows 100% accuracy for classification of affected or unaffected patient.

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Infection of the central nervous system with dengue virus 3 genotype I causing neurological manifestations in Brazil

Cited by 15 publications

References 13 publications

Acute dengue encephalitis in a female Brazilian adult

Acute dengue encephalitis in a female Brazilian adult

Isolation and complete genome analysis of neurotropic dengue virus serotype 3 from the cerebrospinal fluid of an encephalitis patient

Classification of Dengue using Machine Learning Techniques

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