Generalized SEIR Epidemic Model (fitting and computation)
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Updated
Apr 11, 2024 - MATLAB
Generalized SEIR Epidemic Model (fitting and computation)
Simulators for Compartmental Models in Epidemiology
Python SIR-x model implementation
Open source epidemiological modeling in Python
A tool for modeling infectious diseases.
T2N is an extension of the TREES toolbox providing an interface between Matlab and the compartmental modeling environment NEURON. It was published in (and should be cited this way): Beining M, Mongiat, LA, Schwarzacher SW, Cuntz H, Jedlicka P: T2N as a new tool for robust electrophysiological modeling demonstrated for mature and adult-born denta…
The Flexible Epidemic Modeling Pipeline
Open Source Perfusion Analysis Plugin for OsiriX and Horos
A free, open-source tool for modeling chemical reaction networks in Python
This detailed and robust compartmental model accompanies the manuscript Beining et al (2017): T2N as a new tool for robust electrophysiological modeling demonstrated for mature and adult-born dentate granule cells. eLife
A simple Python library for compartment models
Pharmacodynamic and pharmacokinetic models that explore tumor and vasculature growth with anti-angiogenic agents and chemotherapeutic agents.
Comparative study of the main techniques used for COVID modeling where the information available is infected curve. The objective is to identify those univariate techniques that produce the best results, analyzing whether the more complex models are really able to provide better predictions.
Compartmental models used to predict COVID-19 in Italy at provincial level
Understanding dynamics of COVID-19 in Delhi, India, using compartmental model that incorporates Testing bias and Misclassification.
Project on Compartment model.
A project contains simple programs written in R language to implement SIR Model - a compartmental model for modeling infectious diseases mathematically.
Analyze the trajectory of curved free kick in soccer matches with the compartment model
Previously epidemiologists have not relied on topological data analysis to model disease spread. Instead, they have used variants of the SIR compartmental model from classic epidemiology theory and stochastic models. This project will hopefully show how topological data analysis can be considered for use as an extra tool in epidemiology.
Exploring characteristics of value-added production of anthraquinones in rhubarb via fermentation: Compartmental modelling and molecular docking analysis
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