30 citations · 94 across the 18 of their papers we have counts for
20 papers
Bayesian calibration of adaptive-behavior SIR models for multi-wave COVID-19 incidence in New York City
Luis A. Barboza, Carlos Pasquier, Baltazar Espinoza +1
Epidemic incidence reflects both transmission dynamics and adaptive human behavior, yet these mechanisms may be difficult to distinguish from aggregate case data alone. We calibrat…
Amortized Bayesian Inference for Spatio-Temporal Extremes: A Copula Factor Model with Autoregression
Carlos A. Pasquier, Luis A. Barboza
We develop a Bayesian spatio-temporal framework for extreme-value analysis that augments a hierarchical copula model with an autoregressive factor to capture residual temporal depe…
Comparison of indicators to evaluate the performance of climate models
Mario J. Gómez, Luis A. Barboza, Hugo G. Hidalgo +1
The evaluation of climate models is a crucial step in climate studies. It consists of quantifying the resemblance of model outputs to reference data to identify models with superio…
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…
Spatio-temporal Downscaling Emulator for Regional Climate Models: a Comparative Study
Luis A. Barboza, Shu Wei Chou Chen, Marcela Alfaro Córdoba +2
Regional Climate Models (RCM) describe the meso scale global atmospheric and oceanic dynamics and serve as dynamical downscaling models. In other words, RCMs use atmospheric and oc…
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…
The Role of SARS-CoV-2 Testing on Hospitalizations in California
J. Cricelio Montesinos-López, Maria L. Daza-Torres, Yury E. García +5
The rapid spread of the new SARS-CoV-2 virus triggered a global health crisis disproportionately impacting people with pre-existing health conditions and particular demographic and…
Projecting the Impact of Covid-19 Variants and Vaccination Strategies in Disease Transmission using a Multilayer Network Model in Costa Rica
Yury E. García, Gustavo Mery, Paola Vásquez +4
For countries starting to receive steady supplies of vaccines against SARS-CoV-2, the course of Covid-19 for the following months will be determined by the emergence of new variant…
A multilayer network model of Covid-19: implications in public health policy in Costa Rica
Fabio Sanchez, Juan G. Calvo, Gustavo Mery +5
Successful partnerships between researchers, experts and public health authorities has been critical to navigate the challenges of the Covid-19 pandemic worldwide. In Costa Rica, w…
Wavelet Analysis of Dengue Incidence and its Correlation with Weather and Vegetation Variables in Costa Rica
Yury E. García, Luis A. Barboza, Fabio Sanchez +2
Dengue represents a serious public health problem in tropical and subtropical regions worldwide. The number of dengue cases and its geographical expansion has increased in recent d…
A Multilayer Network Model implementation for Covid-19
Juan G. Calvo, Fabio Sanchez, Luis A. Barboza +2
We present a numerical implementation for a multilayer network used to model the transmission of Covid-19 or other diseases with a similar transmission mechanism. The model incorpo…
The role of mobility and sanitary measures on Covid-19 in Costa Rica, March through July 2020
Luis A. Barboza, Paola Vásquez, Gustavo Mery +5
The aim of this paper is to infer the effects that changes on human mobility had on the transmission dynamics during the first four months of the SARS-CoV-2 outbreak in Costa Rica,…
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…
Efficient Reconstructions of Common Era Climate via Integrated Nested Laplace Approximations
Luis A. Barboza, Julien Emile-Geay, Bo Li +1
Paleoclimate reconstruction on the Common Era (1-2000AD) provide critical context for recent warming trends. This work leverages integrated nested Laplace approximations (INLA) to…
Infection model for analyzing biological control of coffee rust using bacterial anti-fungal compounds
Jorge Arroyo Esquivel, Fabio Sanchez, Luis Barboza
Coffee rust is one of the main diseases that affect coffee plantations worldwide. This causes an important economic impact in the coffee production industry in countries where coff…
Comparative Analysis of Dengue versus Chikungunya Outbreaks in Costa Rica
Fabio Sanchez, Luis A. Barboza, David Burton +1
For decades, dengue virus has been a cause of major public health concern in Costa Rica, due to its landscape and climatic conditions that favor the circumstances in which the vect…
Parameter Estimation of Gaussian Stationary Processes using the Generalized Method of Moments
Luis A. Barboza, Frederi G. Viens
We consider the class of all stationary Gaussian process with explicit parametric spectral density. Under some conditions on the autocovariance function, we defined a GMM estimator…
Reconstructing past temperatures from natural proxies and estimated climate forcings using short- and long-memory models
Luis Barboza, Bo Li, Martin P. Tingley +1
We produce new reconstructions of Northern Hemisphere annually averaged temperature anomalies back to 1000 AD, and explore the effects of including external climate forcings within…