Dengue Prediction in Latin America Using Machine Learning and the One Health Perspective: A Literature Review

Dengue Prediction in Latin America Using Machine Learning and the One Health Perspective: A Literature Review

Dengue fever is a serious and growing public health problem in Latin America and elsewhere, intensified by climate change and human mobility. This paper reviews the approaches to the epidemiological prediction of dengue fever using the One Health perspective, including an analysis of how Machine Lea...

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Bibliographic Details
Main Authors: Maritza Cabrera, Jason Leake, José Naranjo-Torres, Nereida Valero, Julio C. Cabrera, Alfonso J. Rodríguez-Morales
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Tropical Medicine and Infectious Disease
Subjects:
dengue
climate change
one health
machine learning
epidemiology
prediction
Online Access:https://www.mdpi.com/2414-6366/7/10/322

Internet

https://www.mdpi.com/2414-6366/7/10/322

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