  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 distinctive micro-climates, dengue has been endemic
since its introduction in 1993, inflicting substantial economic, social, and
public health repercussions. Using the number of dengue reported cases and
climate data from 2007-2017, we fitted a prediction model applying a
Generalized Additive Model (GAM) and Random Forest (RF) approach, which allowed
us to retrospectively predict the relative risk of dengue in five
climatological diverse municipalities around the country.
