InfraMIND-Dengue: Infrastructure for Modeling Infectious Diseases
About InfraMIND-Dengue (Infrastructure for Modeling Infectious Diseases) is a project aimed at understanding dengue spread and studying interventions to reduce its burden through a framework of computational models. It integrates data from multiple sources, including epidemiological, entomological, and environmental data, which are used to calibrate a family of mechanistic and statistical models with different levels of complexity, allowing us to reproduce real world scenarios at multiple time spans (from weeks to years) and address specific questions with the appropriate level of detail.
May 1, 2026
Forecasting relative abundance of mosquitoes in urban areas
Rationale We developed an analytical tool to forecast the relative abundance of mosquito species in urban areas. I was the lead developer and first author in the first version of this project.
Jan 1, 2025
Respiratory Archive
A simple webpage to visualize respiratory diseases data from the NHSN
Nov 22, 2024
Within and between-hosts multiscale modeling: VIBES
We developed a multiscale agent-based model that combines within-host viral dynamics and between-hosts transmission dynamics. The viral dynamics model is fed with longitudinal viral load data of patients infected by the target pathogen, and it drives the infectiousness and disease progression in the transmission model.
Feb 1, 2023
Educational outbreak simulation
An educational tool for simulating an epidemic outbreak scenario for students to practice their skills as an outbreak response team.
Feb 1, 2023
Forecasting of respiratory diseases
Since 2022, I have been working as the lead programmer for the CEPH Lab team in multiple forecasting initiatives for respiratory diseases in the USA, aimed at operational and research purposes.
Nov 1, 2022