Classification algorithm for congenital Zika Syndrome: characterizations, diagnosis and validation

Classification algorithm for congenital Zika Syndrome: characterizations, diagnosis and validation

Abstract Zika virus was responsible for the microcephaly epidemic in Brazil which began in October 2015 and brought great challenges to the scientific community and health professionals in terms of diagnosis and classification. Due to the difficulties in correctly identifying Zika cases, it is neces...

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Autores principales: Rafael V. Veiga, Lavinia Schuler-Faccini, Giovanny V. A. França, Roberto F. S. Andrade, Maria Glória Teixeira, Larissa C. Costa, Enny S. Paixão, Maria da Conceição N. Costa, Maurício L. Barreto, Juliane F. Oliveira, Wanderson K. Oliveira, Luciana L. Cardim, Moreno S. Rodrigues
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/da4dfb4c20ba4f44a18f76a6fdf28499
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https://doaj.org/article/da4dfb4c20ba4f44a18f76a6fdf28499

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