Evidence map›Paper›PMID 29123142›Full record

ArticleScientific reports2017

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

Nuno R Faria, Antonio Charlys da Costa, José Lourenço, Paula Loureiro, Maria Esther Lopes, Roberto Ribeiro, Cecilia Salete Alencar, Moritz U G Kraemer, Christian J Villabona-Arenas, Chieh-Hsi Wu and 10 more

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Nuno R FariaDepartment of Zoology, University of Oxford, Oxford, United Kingdom. nuno.faria@zoo.ox.ac.uk.
Antonio Charlys da CostaInstituto de Medicina Tropical, Universidade de São Paulo, São Paulo, Brazil. charlysbr@yahoo.com.br.ORCID 0000-0001-5516-5177
José LourençoDepartment of Zoology, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-9318-2581
Paula LoureiroFaculdade de Ciências Médicas, Fundação Hemope, Recife, Brazil.
Maria Esther LopesFundação Hemório, Rio de Janeiro, Brazil.
Roberto RibeiroInstituto de Medicina Tropical, Universidade de São Paulo, São Paulo, Brazil.
Cecilia Salete AlencarLaboratório de Investigação Médica LIM03, Hospital das Clínicas, Sao Paulo, Brazil.ORCID 0000-0002-3583-2275
Moritz U G KraemerDepartment of Zoology, University of Oxford, Oxford, United Kingdom.
Christian J Villabona-ArenasInstitut de Recherche pour le Développement, Université de Montpellier, Montpellier, France.ORCID 0000-0001-9928-3968
Chieh-Hsi WuDepartment of Statistics, University of Oxford, Oxford, United Kingdom.
Julien ThézéDepartment of Zoology, University of Oxford, Oxford, United Kingdom.
Kamran KhanLi Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada.
Shannon E BrentLi Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada.
Camila RomanoInstituto de Medicina Tropical, Universidade de São Paulo, São Paulo, Brazil.
Eric DelwartBlood Systems Research Institute, San Francisco, California, USA.
Brian CusterBlood Systems Research Institute, San Francisco, California, USA.
Michael P BuschBlood Systems Research Institute, San Francisco, California, USA.
Oliver G PybusDepartment of Zoology, University of Oxford, Oxford, United Kingdom.
Ester C SabinoInstituto de Medicina Tropical, Universidade de São Paulo, São Paulo, Brazil. sabinoec@usp.br.
NHLBI Recipient Epidemiology and Donor Evaluation Study-III (REDS-III)

Funding

European Research Council 268904
6 · The paper itself

Abstract

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.

Indexed as

Blood DonorsDisease OutbreaksDisease Transmission, InfectiousBrazilDengueDengue VirusGenotypeHumansMolecular EpidemiologyPhylogenyRNA, ViralSequence Analysis, DNASerogroupRNA, Viral

Identifiers

PMID29123142
PMCPMC5680240

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.