A computational method for the identification of Dengue, Zika and Chikungunya virus species and genotypes
Year: 2019
Type: article
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. Author summaryDengue (DENV), Chikungunya (CHIKV) and Zika (ZIKV) are considered major public health challenges.In addition to the epidemic caused by DENV, which has been described in many tropical countries, the introduction of CHIKV and ZIKV in these countries is a major public health concern.These arboviruses are primarily transmitted by mosquitoes of the species Ae.Aegypti and its related diseases result in increased financial costs associated with
Source: PLoS neglected tropical diseases
Authors: 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, Ana Abecasis, Koen Deforche, Gilberto A. Santiago, Isadora C. de Siqueira, Emmanuel J. San, Kaliane C. B. Machado, Vasco Azevedo, Ana Maria Bispo-de Filippis, Rivaldo Venâncio da Cunha, Oliver G. Pybus, Anne-Mieke Vandamme, Luiz C. J. Alcantara, Tulio de Oliveira
Institutions: Universidade Federal de Minas Gerais, Fundação Oswaldo Cruz, University of KwaZulu-Natal, Vrije Universiteit Brussel, Rega Institute for Medical Research, KU Leuven, University of Oxford, Ministério da Saúde, Instituto Evandro Chagas, Universidade Nova de Lisboa, Emweb (Belgium), Centers for Disease Control and Prevention
Language: English
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,350
Funders: European Commission, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Bundesamt für Gesundheit, Fonds Wetenschappelijk Onderzoek, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Inyuvesi Yakwazulu-Natali, Vlaamse regering, National Institutes of Health, Medical Research Council, Fundação para a Ciência e a Tecnologia, National Human Genome Research Institute, Common Fund
Awards: G116629194, H3ABioNet: informatics solutions for H3Africa, G1437431205, G2823776494, G3833355471, Saúde Global e Medicina Tropical, G434337789, G440722171, G4680958855, G611330818, G6328768538, G6518420912, G6815844370, G7391552334, G7435265860, G7499658366, G7700111595, G7942297873, G8519717588, G85494390, Virus discovery and epidemic tracing from high throughput metagenomic sequencing, G8936052485
OpenAlex ID: W2944239259