Python SIR-x model implementation
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Updated
Dec 8, 2022 - Python
Python SIR-x model implementation
A tool for modeling infectious diseases.
A free, open-source tool for modeling chemical reaction networks in Python
Exploring characteristics of value-added production of anthraquinones in rhubarb via fermentation: Compartmental modelling and molecular docking analysis
A machine learning method for confidence interval (CI) computation with specific application to Covid-19 forecast on 54 countries.
Compartmental epidemiology models for COVID
Infectious disease models implemented in python
Vectored GPU based compartmental simulations. Easy to use. With some ABC (Approximate Bayesian Computation) utils
Using the SIR model to predict COVID-19 infection patterns. It is a compartmental model with the variables S, I and R for the number of susceptible, infectious and resistant individuals, respectively.
Code and Data for Gupta and Mohanta, et. al. (2020)
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