Evidence map›Paper›PMID 31067235›Full record

ArticlePLoS neglected tropical diseases2019

A computational method for the identification of Dengue, Zika and Chikungunya virus species and genotypes.

Vagner Fonseca, Pieter J K Libin, Kristof Theys, Nuno R Faria, Marcio R T Nunes, Maria I Restovic, Murilo Freire, Marta Giovanetti, Lize Cuypers, Ann Nowé and 13 more

Abstract readEvaluation Study
In one paragraph

Article in PLoS neglected tropical diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing 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

64 citing papers in PubMed.

  1. Article
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  4. Tracing Dengue's Evolutionary and Phylogenetic Pathways.Current topics in microbiology and immunology · 2026
    Review
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4 more citing papers are in PubMed but not listed here.

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

23 authors.

Vagner FonsecaLaboratório de Flavivírus, IOC, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.ORCID 0000-0001-5521-6448
Pieter J K LibinArtificial Intelligence Lab, Department of Computer Science, Vrije Universiteit Brussel, Brussels, Belgium.
Kristof TheysKU Leuven-University of Leuven, Department of Microbiology and Immunology, Rega Institute for Medical Research, Clinical and Epidemiological Virology, Leuven, Belgium.
Nuno R FariaDepartment of Zoology, University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-8839-2798
Marcio R T NunesEvandro Chagas Institute, Ministry of Health, Ananindeua, Brazil.
Maria I RestovicLaboratório de Patologia Experimental, Fundação Oswaldo Cruz, Salvador, Brazil.
Murilo FreireLaboratório de Patologia Experimental, Fundação Oswaldo Cruz, Salvador, Brazil.
Marta GiovanettiLaboratório de Flavivírus, IOC, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.
Lize CuypersKU Leuven-University of Leuven, Department of Microbiology and Immunology, Rega Institute for Medical Research, Clinical and Epidemiological Virology, Leuven, Belgium.
Ann NowéArtificial Intelligence Lab, Department of Computer Science, Vrije Universiteit Brussel, Brussels, Belgium.
Ana AbecasisCenter for Global Health and Tropical Medicine, Unidade de Microbiologia, Instituto de Higiene e Medicina Tropical, Universidade Nova de Lisboa, Lisbon, Portugal.ORCID 0000-0002-3903-5265
Koen DeforcheEMWEB (private company), Herent, Belgium.ORCID 0000-0003-3898-9494
Gilberto A SantiagoDivision of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico, United states of America.
Isadora C de SiqueiraLaboratório de Patologia Experimental, Fundação Oswaldo Cruz, Salvador, Brazil.
Emmanuel J SanKwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), College of Health Sciences, University of KwaZuluNatal, Durban, South Africa.
Kaliane C B MachadoLaboratório de Patologia Experimental, Fundação Oswaldo Cruz, Salvador, Brazil.
Vasco AzevedoLaboratório de Genética Celular e Molecular, ICB, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Ana Maria Bispo-de FilippisLaboratório de Flavivírus, IOC, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.
Rivaldo Venâncio da CunhaCoordenação de Vigilância em Saúde e Laboratórios de Referências, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.
Oliver G PybusDepartment of Zoology, University of Oxford, Oxford, United Kingdom.
Anne-Mieke VandammeKU Leuven-University of Leuven, Department of Microbiology and Immunology, Rega Institute for Medical Research, Clinical and Epidemiological Virology, Leuven, Belgium.
Luiz C J AlcantaraLaboratório de Flavivírus, IOC, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.
Tulio de OliveiraKwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), College of Health Sciences, University of KwaZuluNatal, Durban, South Africa.

Funding

H3ABioNet: informatics solutions for H3AfricaU24HG006941 · NHGRI · UNIVERSITY OF CAPE TOWN · PI MULDER, NICOLA · 2017 to 2021
$12.9M
NHGRI NIH HHS U24 HG006941
6 · The paper itself

Abstract

In recent years, an increasing number of outbreaks of Dengue, Chikungunya and Zika viruses have been reported in Asia and the Americas. Monitoring virus genotype diversity is crucial to understand the emergence and spread of outbreaks, both aspects that are vital to develop effective prevention and treatment strategies. Hence, we developed an efficient method to classify virus sequences with respect to their species and sub-species (i.e. serotype and/or genotype). This tool provides an easy-to-use software implementation of this new method and was validated on a large dataset assessing the classification performance with respect to whole-genome sequences and partial-genome sequences. Available online: http://krisp.org.za/tools.php.

Indexed as

Chikungunya FeverChikungunya virusComputational BiologyDengueDengue VirusGenome, ViralGenotypePhylogenyZika VirusZika Virus Infection

Identifiers

PMID31067235
PMCPMC6527240

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.