R package for statistical and spatiotemporal modeling of epidemiological data for vector-borne diseases in Colombia
A CNN-based approach for tick species identification.
Agent-Based model simulation of mosquito-human interaction in the Colombian and LAC setting
A GIS-based machine learning system that predicts dengue risk across Bangladesh using meteorological, environmental, and population data. The project integrates ERA5 weather data, satellite imagery, and district-level dengue surveillance to generate weekly outbreak risk maps and early-warning insights.
Vector borne disease prediction based on patient symptoms using an ensemble of CatBoots, XGBoost and LGBM.
Epidemiological or operational scenarios of persistent dengue transmission in Mexico and the epidemiological situation
Dataset on the evolution of mosquito-borne diseases in Latin America and the Caribbean 2015-2024. Includes data on Dengue, Zika, Chikungunya, and Malaria by country (Brazil, Colombia, Mexico, Peru, Argentina, Venezuela and others), with reported case
Operational or epidemiological scenarios of dengue transmission in the state of Puebla
Evolución de enfermedades vectoriales (Dengue, Zika, Chikungunya) en América Latina 2015-2024. Dataset FAIR, CC0. DOI: 10.7910/DVN.
Mosquito Population Analysis Independent Study for the Midwest Center of Excellence for Vector-Borne Disease (Spring 2020)
Machine Learning Approaches on Vector-borne disease outbreaks
Operational or epidemiological scenarios of dengue transmission in the state of Guerrero
VBDs360 (formerly MosquitoDB) is a secure web application supporting data management for diverse entomological studies. Originally developed by the Ifakara Health Institute, it stores, links, and summarises field and laboratory mosquito data. The system and associated tools are freely available to researchers and control programmes.
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.
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
data repository for the seroprevalence survey in Dire Dawa in 2024
Distance-weighted land-cover composition in buffers around point locations, computed from vector polygons. R package for fine-scale spatial epidemiology and exposure assessment.
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