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Record W2766739944 · doi:10.1038/s41598-017-15152-8

Genomic and epidemiological characterisation of a dengue virus outbreak among blood donors in Brazil

2017· article· en· W2766739944 on OpenAlexaff
Nuno R. Faria, Antônio Charlys da Costa, José Lourenço, Paula Loureiro, Maria Esther Lopes, Roberto Ribeiro, Cecília Salete Alencar, Moritz U. G. Kraemer, Christian Julián Villabona‐Arenas, Chieh‐Hsi Wu, Julien Thézé, Kamran Khan, Shannon E. Brent, Camila Malta Romano, Eric Delwart, Brian Custer, Michael P. Busch, Oliver G. Pybus, Éster Cerdeira Sabino, Cesar de Almeida‐Neto, Alfredo Mendrone, Anna Barbara F. Carneiro‐Proietti, Divaldo de Almeida Sampaio, Clarisse Lopes de Castro Lobo, Ligia Capuani, João Eduardo Ferreira, Márcio K. Oikawa, Pedro Losco Takecian, Cláudia Di Lorenzo Oliveira, Shannon Kelly, Thelma T. Gonçalez, Donald Brambilla, Christopher McClure, Simone A. Glynn

Bibliographic record

VenueScientific Reports · 2017
Typearticle
Languageen
FieldMedicine
TopicMosquito-borne diseases and control
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
FundersU.S. National Library of MedicineNational Institutes of HealthNational Institute of Child Health and Human DevelopmentEidgenössische Technische Hochschule ZürichFundação de Amparo à Pesquisa do Estado de São PauloEuropean Commission
KeywordsOutbreakDengue feverChikungunyaVirologyGenotypeEpidemiologyTransmission (telecommunications)BiologySerotypeDengue virusPhylogenetic treeArbovirusAedesVirusMolecular epidemiologyDemographyGeographyMedicineGeneticsGene

Abstract

fetched live from OpenAlex

Outbreaks caused by Dengue, Zika and Chikungunya viruses can spread rapidly in immunologically naïve populations. By analysing 92 newly generated viral genome sequences from blood donors and recipients, we assess the dynamics of dengue virus serotype 4 during the 2012 outbreak in Rio de Janeiro. Phylogenetic analysis indicates that the outbreak was caused by genotype II, although two isolates of genotype I were also detected for the first time in Rio de Janeiro. Evolutionary analysis and modelling estimates are congruent, indicating a reproduction number above 1 between January and June, and at least two thirds of infections being unnoticed. Modelling analysis suggests that viral transmission started in early January, which is consistent with multiple introductions, most likely from the northern states of Brazil, and with an increase in within-country air travel to Rio de Janeiro. The combination of genetic and epidemiological data from blood donor banks may be useful to anticipate epidemic spread of arboviruses.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score0.330

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.290
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations48
Published2017
Admission routes1
Has abstractyes

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