R package for statistical and spatiotemporal modeling of epidemiological data for vector-borne diseases in Colombia
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Updated
Aug 14, 2024 - R
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
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.
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.
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