Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.

Julia and Python complex system applications in ecology, epidemiology, sociology, economics & finance; network science models including Bianconi-Barabási, Barabási-Albert, Watts-Strogatz, Waxman Model & Erdős-Rényi; graph theory algorithms involving Gillespie, Bron Kerbosch, Ramsey, Bellman Ford, A*, Kruskal, Borůvka, Prim, Dijkstra, DSatur, Randomized Distributed, Vizing, Topological Sort, DFS, BFS

👩🏻‍⚕️Covid-19 estimation and forecast using statistical model; 新型冠状病毒肺炎统计模型预测 (Jan 2020)

Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈

天池大赛疫情文本挑战赛线上第三名方案分享

CovsirPhy: Python library for COVID-19 analysis with phase-dependent SIR-derived ODE models.

COVID-ABS: An Agent-Based Model of COVID-19 Epidemic to Simulate Health and Economic Effects of Social Distancing Interventions

Modelling of the nCoV-2019 outbreak in Wuhan, China, by Jon Read, Jess Bridgen, and Chris Jewell at Lancaster University.

[KDD 2024] Papers about deep learning in epidemic modeling.

[ECMLPKDD22] MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks

Analysis of the COVID19 outbreak in Brazil mainly through epidemic and hospitalization models, by the Health Analytics and Prospera consulting business units of Funcional Heatlh Tech.

Data-driven COVID-19 forecasts and detection of unreported cases

Javascript implementation of an epidemic SIR model

Results and software for our paper on structured epidemic modeling

Compartmental Epidemic Models in Python

Docker container exposing a preconfigured python environment for Social Network Analysis

No description provided.

German Epidemic Microsimulation System developed in the OptimAgent-Project.

tsiR: An R package for time-series Susceptible-Infected-Recovered models of epidemics

Code for reproducing the results from the preprint "Using early detection data to estimate the date of emergence of an epidemic outbreak".

Optimized Gillespie Algorithms (OGA) for spreading processes on higher-order networks

Agent-based model for simulating the spread of epidemics in refugee and IDP settlements. Adapted from the JUNE framework.

Epidemic spatial and temporal model setup and simulation. Focusing on state of the art epidemiology models such as universal differential equations, epidemiology-informed deep learning models. Part of Mathepia.jl

Code for modeling RSV resurgence following contact restrictions

Homework and exercises from course Network Dynamics and Learning - PoliTo

Game theoretical modelling of COVID-19 vaccine adoption

Expert-Guided PINN is a system for interactive epidemiological forecasting that allows epidemiologists to adjust predictions using simple text comments, without requiring deep understanding of the underlying mathematical model

Visualization for the JUNE epidemic and intervention simulation tool

Agent-based modelling of pandemics using the Susceptible, Infected, Recovered (SIR) framework.

Illustrate how to fit ODEs to time-series data in OpenBUGS with R