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

• Principais autores: Emmanuelle Sylvestre (Autor), Clarisse Joachim (Autor), Elsa Cécilia-Joseph (Autor), Guillaume Bouzillé (Autor), Boris Campillo-Gimenez (Autor), Marc Cuggia (Autor), André Cabié (Autor)
• Formato: Livro
• Publicado em: Public Library of Science (PLoS), 2022-01-01T00:00:00Z.
• Assuntos: article
• Acesso em linha: Connect to this object online.

<h4>Background</h4>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 pred...