activity
20182022
most citedAssessing dengue fever risk in Costa Rica by using climate variables and machine learning techniques

1 citations · 1 across the 1 of their papers we have counts for

collaborators
Showing stat.MLShow all

1 paper · 1 filter

stat.ML2019

Climate-driven statistical models as effective predictors of local dengue incidence in Costa Rica: A Generalized Additive Model and Random Forest approach

Paola Vásquez, Antonio Loría, Fabio Sanchez +1

Climate has been an important factor in shaping the distribution and incidence of dengue cases in tropical and subtropical countries. In Costa Rica, a tropical country with distinc…