SIR/SEIR epidemic simulator with network spread, ML forecasting, and scenario comparison
Python implementation of behavioral-epidemic models for COVID-19
A desktop application implementing the EpiRank algorithm for epidemic risk analysis across Taiwan's 353 townships based on asymmetric commuting networks.
Graph Neural Thompson Sampling for testing kit allocation
Агентная имитационная модель распространения эпидемии в замкнутой популяции: настраиваемые параметры, пять состояний агента и график динамики. C#, MonoGame, .NET 6.
AI-powered epidemic prediction system that analyzes health data to predict disease risk and provide insights using machine learning.
C# XNA App that introduces epidemics modeling simulator
An end-to-end network science pipeline modeling global aviation infrastructure to analyze structural resilience, detect geopolitical communities, and simulate adaptive pandemic spreading dynamics.
Graph analysis with NetworkX: a retweet network built from 1.42M tweets (k-core extraction, centralities, community detection), plus network-metrics fundamentals and epidemic-spreading simulations with distancing and vaccination strategies.
SIM group project. Credit to Juan, Win, and Maluhia.
model of group A streptococcus
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