Repository listing all the measles resources and tools developed by ForeSITE

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

Dem Robert Koch-Institut (RKI) obliegt die Aufgabe, Daten zur Inanspruchnahme von Schutzimpfungen in der Bevölkerung in Deutschland zu erheben, aufzubereiten und national wie international zu berichten. Die wichtigste Datenquelle zur Berechnung von Impfquoten stellen die vertragsärztlichen Abrechnungsdaten dar, die von den Kassenärztlichen Verei...

Data Visualization of the 2019 Measles Outbreak

Epidemic models

An Effective Classification of Skin Infection using Deep Learning Techniques

Data on the 2019 Samoa measles outbreak 🇼🇸

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

CEL Continual Learning

ABM simulation of Measles school outbreaks

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.

Data and code for our paper on social segregation and vaccination

Within-host modeling of acute measles infection

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

Artigo de comparação de métodos PCR x CCID50 com Jéssica Malheiros

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

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

Tools for modeling measles