Compartmental epidemiology models for COVID
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Updated
Jun 1, 2022 - Python
Compartmental epidemiology models for COVID
Open Python Web App for Pharmcological Modeling and Analysis
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.
Exploring characteristics of value-added production of anthraquinones in rhubarb via fermentation: Compartmental modelling and molecular docking analysis
Infectious disease models implemented in python
Code and Data for Gupta and Mohanta, et. al. (2020)
A machine learning method for confidence interval (CI) computation with specific application to Covid-19 forecast on 54 countries.
Python SIR-x model implementation
A free, open-source tool for modeling chemical reaction networks in Python
A tool for modeling infectious diseases.
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