Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.
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Updated
Mar 9, 2023 - Python
Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.
Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈
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, Ran…
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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
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Modelling of the nCoV-2019 outbreak in Wuhan, China, by Jon Read, Jess Bridgen, and Chris Jewell at Lancaster University.
Data-driven COVID-19 forecasts and detection of unreported cases
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.
MetaWards disease metapopulation analysis and modelling software. Professional geographical SIR model with a flexible plugin architecture to support complex scenario modelling
Homework and exercises from course Network Dynamics and Learning
Results and software for our paper on structured epidemic modeling
tsiR: An R package for time-series Susceptible-Infected-Recovered models of epidemics
[ECMLPKDD22] MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks
Example project to get started with epidemic modelling in MATSim Episim
Game theoretical modelling of COVID-19 vaccine adoption
Code for reproducing the results from the preprint "Using early detection data to estimate the date of emergence of an epidemic outbreak".
Illustrate how to fit ODEs to time-series data in OpenBUGS with R
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