Assessing dengue fever risk in Costa Rica by using climate variables and machine learning techniques.

• Principais autores: Luis A Barboza (Autor), Shu-We (Autor), Paola Vásquez (Autor), Yury E García (Autor), Juan G Calvo (Autor), Hugo G Hidalgo (Autor), Fabio Sanchez (Autor)
• Formato: Livro
• Publicado em: Public Library of Science (PLoS), 2023-01-01T00:00:00Z.
• Assuntos: article
• Acesso em linha: Connect to this object online.

Dengue fever is a vector-borne disease affecting millions yearly, mostly in tropical and subtropical countries. Driven mainly by social and environmental factors, dengue incidence and geographical expansion have increased in recent decades. Therefore, understanding how climate variables drive dengue...