There are 2 repositories under epidemics topic.
Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.
SORMAS (Surveillance, Outbreak Response Management and Analysis System) is an early warning and management system to fight the spread of infectious diseases.
Network Diffusion Library - (for NetworkX and iGraph)
COVID-19 Hospital Impact Model for Epidemics
This repository contains data and code used to get and clean data from https://github.com/CSSEGISandData/COVID-19 and https://www.worldometers.info/coronavirus/
Spatiotemporal epidemic model introduced in the context of COVID-19, ACM TSAS, 2022
Simulation, visualization, and inference of individual level infectious disease models with Julia
Open-source repository containing examples and documentation for the Cognizant XPRIZE Pandemic Response Challenge
Disease propagation ABM generating SIR, severe cases, and R0 over quasi-time.
Source code for the EpiEstim app.
Bayesian fit to SEIR model. An extension to Penn Medicine's CHIME tool.
COVID-19 spread shiny dashboard with a forecasting model, countries' trajectories graphs, and cluster analysis tools
Microscopic Markov Chain Approach to model the spreading of COVID-19
distributed pandemics simulator, uses the power of spark to generate huge bulks of contact-tracing data.
Epidemic simulation models of complex network.
Networkx implementation of the SIS epidemic model for large and heterogeneous networks
EPIDEMIC is an easy-to-run educational toolkit for epidemiological analysis.
Network Diffusion Library REST Service
Materials of FutureTDM project
Stochastic Cellular Automata epidemic models in Python with 2D simulations
Library for epidemics on hypergraphs
Repositório da iniciativa COVID19: Observatório Fluminense, com dados, gráficos e relatórios sobre a evolução pandemia de COVID-19, com especial interesse no Estado do RJ.
Info/Data (global/italy) about COVID-19. PR welcome for other countries.
Source code for the PLOS ONE (2022) and epiDAMIK@KDD 2021 paper "Simple Epidemic Models with Segmentation can be Better than Complex Ones."