Data-driven methods for dengue prediction and surveillance using real-world and Big Data: A systematic review

BACKGROUND: Traditionally, dengue surveillance is based on case reporting to a central health agency. However, the delay between a case and its notification can limit the system responsiveness. Machine learning methods have been developed to reduce the reporting delays and to predict outbreaks, base...

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Detalles Bibliográficos
Autores principales: Sylvestre, Emmanuelle, Joachim, Clarisse, Cécilia-Joseph, Elsa, Bouzillé, Guillaume, Campillo-Gimenez, Boris, Cuggia, Marc, Cabié, André
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8740963/
https://www.ncbi.nlm.nih.gov/pubmed/34995281
http://dx.doi.org/10.1371/journal.pntd.0010056

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8740963/
https://www.ncbi.nlm.nih.gov/pubmed/34995281
http://dx.doi.org/10.1371/journal.pntd.0010056

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