R package for statistical and spatiotemporal modeling of epidemiological data for vector-borne diseases in Colombia

A CNN-based approach for tick species identification.

Vector borne disease prediction based on patient symptoms using an ensemble of CatBoots, XGBoost and LGBM.

Agent-Based model simulation of mosquito-human interaction in the Colombian and LAC setting

Mosquito Population Analysis Independent Study for the Midwest Center of Excellence for Vector-Borne Disease (Spring 2020)

This is a small mosquito species prediction app. It serves as a deployment shinyapp for my blog post entitled "Mosquito Species Image Classification using the torch R package" and originally posted on April 1st, 2023.

Operational or epidemiological scenarios of dengue transmission in the state of Guerrero

Operational or epidemiological scenarios of dengue transmission in the state of Puebla

Spatial Data Analysis course material developed for the "Regional Training Course on the Use of Open-Source, Real-Time Geo-Visualization in Monitoring Vectors and Vector Borne Diseases", Jelsa, Croatia, 13-17 May 2019.

Operational or epidemiological scenarios of dengue transmission in the state of Quintana Roo

Epidemiological or operational scenarios of persistent dengue transmission in Mexico and the epidemiological situation