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

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

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,...

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Main Authors: Clarisse Lins de Lima, Ana Clara Gomes da Silva, Giselle Machado Magalhães Moreno, Cecilia Cordeiro da Silva, Anwar Musah, Aisha Aldosery, Livia Dutra, Tercio Ambrizzi, Iuri V. G. Borges, Merve Tunali, Selma Basibuyuk, Orhan Yenigün, Tiago Lima Massoni, Ella Browning, Kate Jones, Luiza Campos, Patty Kostkova, Abel Guilhermino da Silva Filho, Wellington Pinheiro dos Santos
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Public Health
Subjects:
digital epidemiology
computational intelligence
arboviruses forecast
machine learning
systematic review
dengue
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2022.900077/full

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https://www.frontiersin.org/articles/10.3389/fpubh.2022.900077/full

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