Temporal and Spatiotemporal Arboviruses Forecasting by Machine Learning: A Systematic Review

• Główni autorzy: Clarisse Lins de Lima (Autor), Ana Clara Gomes da Silva (Autor), Giselle Machado Magalhães Moreno (Autor), Cecilia Cordeiro da Silva (Autor), Anwar Musah (Autor), Aisha Aldosery (Autor), Livia Dutra (Autor), Tercio Ambrizzi (Autor), Iuri V. G. Borges (Autor), Merve Tunali (Autor), Selma Basibuyuk (Autor), Orhan Yenigün (Autor), Tiago Lima Massoni (Autor), Ella Browning (Autor), Kate Jones (Autor), Luiza Campos (Autor), Patty Kostkova (Autor), Abel Guilhermino da Silva Filho (Autor), Wellington Pinheiro dos Santos (Autor)
• Format: Książka
• Wydane: Frontiers Media S.A., 2022-06-01T00:00:00Z.
• Hasła przedmiotowe: article
• Dostęp online: Connect to this object online.

Arboviruses are a group of diseases that are transmitted by an arthropod vector. Since they are part of the Neglected Tropical Diseases that pose several public health challenges for countries around the world. The arboviruses' dynamics are governed by a combination of climatic, environmental,...