COVID-19 integrated surveillance data provided by the Italian Institute of Health and processed via UnrollingAverages.jl to deconvolve the weekly moving averages.

Last date of data delivery: 2022-11-14. Regularly updated Norwegian covid-19 data from Folkehelseinstituttet (the Norwegian Institute of Public Health)

Face Recognition on SurvFace or Custom Dataset using OpenSphere

A sovereign, privacy-first routing engine that uses local OpenStreetMap data and PostGIS to calculate paths that actively bypass automated license plate readers (ALPRs).

R analysis of the 2026 U.S. cyclosporiasis outbreak using CDC NNDSS data — seasonal baselines, state-level anomaly ranking, and documented data-cleaning gotchas.

O ÆSOP (Alert-Early System of Outbreaks with Pandemic Potential) é um sistema que integra múltiplas fontes de dados para ajudar autoridades de saúde a identificar antecipadamente possíveis surtos, permitindo ações preventivas antes que a transmissão se intensifique.

Practice outbreak investigation project tracking the July 2026 Legionnaires' disease cluster on Manhattan's Upper East Side (ZIP codes 10028, 10128, 10075).

This is my Stanford University Code in Place final project code. It is a visualization of some of part of the operations data. The code is written in python.

Reproducible targets pipeline analysing 2025 leptospirosis surveillance data from Johor, Malaysia, an effort to 9th Asia Pacific Conference on Public Health

Analysis of antimicrobial resistance (AMR) in Spain using EARS‑Net data (2000–2018), exploring resistance patterns by age, gender, bacteria–antibiotic profiles, trends over time, and predictive modeling to support clinical and public health decisions.

A practice epidemiological analysis project in R (Posit Cloud), investigating the relationship between declining MMR (measles-mumps-rubella) vaccination coverage and the 2026 U.S. measles resurgence.