12 citations · 24 across the 5 of their papers we have counts for
6 papers
Bayesian spatio-temporal model with INLA for dengue fever risk prediction in Costa Rica
Shu-Wei Chou-Chen, Luis A. Barboza, Paola Vásquez +4
Due to the rapid geographic spread of the Aedes mosquito and the increase in dengue incidence, dengue fever has been an increasing concern for public health authorities in tropical…
Common patterns between dengue cases, climate, and local environmental variables in Costa Rica: A Wavelet Approach
Yury E. Garcia, Shu-Wei Chou-Chen, Luis A. Barboza +6
Throughout history, prevention and control of dengue transmission have challenged public health authorities worldwide. In the last decades, the interaction of multiple factors, suc…
Assessing dengue fever risk in Costa Rica by using climate variables and machine learning techniques
Luis A. Barboza, Shu-Wei Chou, Paola Vásquez +4
Dengue fever is a vector-borne disease mostly endemic to tropical and subtropical countries that affect millions every year and is considered a significant burden for public health…
Hospitalization in the transmission of dengue dynamics: The impact on public health policies
Fabio Sanchez, Jorge Arroyo-Esquivel, Paola Vasquez
Dengue virus has caused major problems for public health officials for decades in tropical and subtropical countries. We construct a compartmental model that includes the risk of h…
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…
Parameter estimates of the 2016-2017 Zika outbreak in Costa Rica: An Approximate Bayesian Computation (ABC) Approach
Fabio Sanchez, Luis Barboza, Paola Vasquez
In Costa Rica, the first known cases of Zika were reported in 2016. We looked at the 2016-2017 Zika outbreak and explored the transmission dynamics using weekly reported data. A no…