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

• Main Authors: Emmanuelle Sylvestre (Author), Clarisse Joachim (Author), Elsa Cécilia-Joseph (Author), Guillaume Bouzillé (Author), Boris Campillo-Gimenez (Author), Marc Cuggia (Author), André Cabié (Author)
• Format: Book
• Published: Public Library of Science (PLoS), 2022-01-01T00:00:00Z.
• Subjects: article
• Online Access: 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...