CovsirPhy: Python library for COVID-19 analysis with phase-dependent SIR-derived ODE models.
Simulating epidemics using Python
Codes for the paper "A Time-dependent SIR model for COVID-19 with Undetectable Infected Persons"
MetaWards disease metapopulation analysis and modelling software. Professional geographical SIR model with a flexible plugin architecture to support complex scenario modelling
A Mesa-based ABM library for epidemiological (SIR) modeling.
A GitHub repo for the generation of a network model to represent society with various components, the spread of the disease on this network, and the calculation of reproduction number on these simulation results.
Python SIR-x model implementation
SIR model parameter estimation using a novel algorithm for differentiated uniformization.
More than a year after the onset of the CoVid-19 pandemic in the UK: lessons learned from a minimalistic model capturing essential aspects including social awareness and policy making
A basic SIR model to improve my understanding on the subject.
Эпидемиологическая модель на языке Python. Порт https://github.com/neherlab/covid19_scenarios
An application of PINN to SIR modeling
Epidemic Simulator with a nice and usable UI, written in Python using Qt
Numba accelerated implementation of Gillespie's algorithm for simulating stochastic processes
A machine learning method for confidence interval (CI) computation with specific application to Covid-19 forecast on 54 countries.
Similar to the Rumors version, this script simulates the spread of a disease within a population while also accounting for the probabilities of recovery, death, and contagion. The simulation includes the option for recovery. The generated data is then converted into a CSV file, which can be used for conducting small-scale data science research.
Qt application to simulate infection spreading
Network Generator framework that simulates daily interactions in an urban town
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