epidemic-modeling

[ECML-PKDD2022] EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting

Research code and reproducibility materials for a mobility-informed SIR model using subway ridership data, particle smoothing, and mobility-reduction scenarios to evaluate influenza transmission and the instantaneous reproduction number.

Spatial MultiAgent RL for Epidemic Control with Heterogeneous Risk Preferences

The "Analysis of Information Networks" repository contains six exercises that explore key concepts in network analysis. From random network generation to link prediction and recommender systems, each exercise provides hands-on experience with metrics, visualizations, and real-world applications.

MSc & BSc theses (CMC MSU): credit-portfolio management and epidemic compartment-network modeling.

R Introduction for ID Modelling

A bi-virus epidemic model for networks with duty-cycled wireless sensors

Phenomenological growth-model fitting, uncertainty quantification, and short-term forecasting for epidemic incidence data

A numerical simulation of the SVEIR epidemic model (Susceptible-Vaccinated-Exposed-Infected-Recovered) incorporating spatial diffusion. Solves the system of differential equations to analyze influenza spread and vaccination impact.

Code and data for "Faster Uptake, Slower Let-Down" (Risk Analysis, 2026) asymmetric community behavioral response to pandemic risk.

SIR epidemic model with formal property verification, exhaustive parameter tuning, and prediction on Influenza data (USA & Netherlands, 2009-2011). Computational Modelling

Agent-based model (R) simulating epidemic spread through a demographically structured population households, schools, workplaces & neighborhoods with stochastic disease-state transitions.

Agent-based MATLAB simulation of isolation and vaccination policies for epidemic control (METU IE206).

Mathematical modeling of epidemic spreading on complex networks: network-coupled SIR ODEs, spectral epidemic thresholds, and a from-scratch GNN that learns the dynamics.

Notebooks used or made in development of prediksicovidjatim

End-to-end Python implementation of Bognanni et al's (2026) decision-support infrastructure for infectious-disease emergencies. Simulates laissez-faire, stay-at-home, temporary & adaptive lockdown, vaccine arrival & eradication-zone counterfactuals, decomposes welfare into deaths and lost output, & traces the pandemic possibilities frontier.

Independent reproduction of a study on how much detail epidemic models need from mobile phone mobility data, extended to test whether administrative borders match how people actually move.

An uncertainty-driven probabilistic framework for modeling worm propagation in large-scale networks. It uses stochastic infection rates to capture bursty behavior, adaptive slowdowns, and defense mechanisms, improving prediction accuracy over traditional models while remaining safe, reproducible, and suitable for cybersecurity research.

Teaching-oriented ODE epidemic mini-lab with SI, SIR, and SEIR models, parameter sweeps, and interpretable metrics.

Python simulation of the Black Death across medieval Europe using stochastic SIRD models and a weighted city network, 1346–1353.