There are 6 repositories under epidemic-model topic.
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)
天池大赛疫情文本挑战赛线上第三名方案分享
Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈
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.
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
Papers about deep learning in epidemic modeling.
[ECMLPKDD22] MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks
Results and software for our paper on structured epidemic modeling
Docker container exposing a preconfigured python environment for Social Network Analysis
Code for modeling RSV resurgence following contact restrictions
Code for reproducing the results from the preprint "Using early detection data to estimate the date of emergence of an epidemic outbreak".
Agent-based model for simulating the spread of epidemics in refugee and IDP settlements. Adapted from the JUNE framework.
Agent-based modelling of pandemics using the Susceptible, Infected, Recovered (SIR) framework.
Game theoretical modelling of COVID-19 vaccine adoption
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
Homework and exercises from course Network Dynamics and Learning
Illustrate how to fit ODEs to time-series data in OpenBUGS with R
Trabajo de Fin de Grado de Física 2022
Statistical dynamics of social distancing in SARS-CoV-2 as a differential game
🦠 Python script that simulates a pandemic using moving dots with tweakable parameters and then generates a graph according to obtained values. Made as part of a school project.
Combine and visualize predictions of international periodically updated COVID-19 pandemic models for the global level and six WHO regions
A Data Driven Approach to Understanding COVID-19 with NetworkX
Network data analysis using networkx, and gephi for visualisations.
COVID prediction and simulation based on mobility data in federated environment