The Washington Post released in late 2025 school-, county- and state-level data on the MMR vaccination rates of kindergartners in the majority of states in the U.S.

Repository listing all the measles resources and tools developed by ForeSITE

Experiment assessing the effects of a tiered quarantine system during measles outbreaks

Scripts y datasets para analizar los casos de sarampión en México utilizando los datos abiertos de la SSA

ABM simulation of Measles school outbreaks

Data Visualization of the 2019 Measles Outbreak

Tools for modeling measles

An Effective Classification of Skin Infection using Deep Learning Techniques

Epidemic models

Data on the 2019 Samoa measles outbreak 🇼🇸

CEL Continual Learning

This project analyzes graphs using the Ford-Fulkerson Algorithm to calculate the maximum flow with a specific case study: the 2025 Kansas measles outbreak.

This project explores school-level measles vaccination rates across multiple U.S. states, using historical data to uncover patterns and predict missing values. The aim is to support public health decision-making by identifying key factors linked to higher or lower vaccination coverage.

Using nationally representative demographic and health survey data, measles vaccine utilization has been classified, and its underlying factors are identified through an ensemble machine learning approach.

Within-host modeling of acute measles infection

Data and code for our paper on social segregation and vaccination

Supplementary material for the book chapter "Persistence of Passive Immunity, Natural Immunity (and Vaccination)"

A research compedium (data, code, manuscript) for project on detecting critical slowing down in measles dynamics.

A machine learning-based system for detecting and classifying skin diseases through image analysis, utilizing deep learning models and classification pipelines.

Artigo de comparação de métodos PCR x CCID50 com Jéssica Malheiros