Application of Artificial Neural Networks for Dengue Fever Outbreak Predictions in the Northwest Coast of Yucatan, Mexico and San Juan, Puerto Rico

Application of Artificial Neural Networks for Dengue Fever Outbreak Predictions in the Northwest Coast of Yucatan, Mexico and San Juan, Puerto Rico

Modelling dengue fever in endemic areas is important to mitigate and improve vector-borne disease control to reduce outbreaks. This study applied artificial neural networks (ANNs) to predict dengue fever outbreak occurrences in San Juan, Puerto Rico (USA), and in several coastal municipalities of th...

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Bibliographic Details
Main Authors: Abdiel E. Laureano-Rosario, Andrew P. Duncan, Pablo A. Mendez-Lazaro, Julian E. Garcia-Rejon, Salvador Gomez-Carro, Jose Farfan-Ale, Dragan A. Savic, Frank E. Muller-Karger
Format: Article
Language:English
Published: MDPI AG 2018-01-01
Series:Tropical Medicine and Infectious Disease
Subjects:
nonlinear models
Aedes aegypti
Aedes albopictus
remote sensing
early warning systems
Online Access:http://www.mdpi.com/2414-6366/3/1/5

Internet

http://www.mdpi.com/2414-6366/3/1/5

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