A project contains simple programs written in R language to implement SIR Model - a compartmental model for modeling infectious diseases mathematically.
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Updated
Aug 17, 2020 - R
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
Project on Compartment model.
Open Python Web App for Pharmcological Modeling and Analysis
Code for modeling RSV resurgence following contact restrictions
A machine learning method for confidence interval (CI) computation with specific application to Covid-19 forecast on 54 countries.
Master thesis for the MSc in Data Science and Economics at Università degli Studi di Milano
Compartmental epidemiology models for COVID
Implementation of a SIRVSD model with different age groups and heterogeneous contacts in Python for Computational Models for Complex Systems Course
An R package and web application for estimating the basic reproduction number (R0) of infectious diseases.
This repo contains the final work of the Simulation and Modeling class, part of the MSc in Data Science and Business Analytics @ Bocconi University
Vectored GPU based compartmental simulations. Easy to use. With some ABC (Approximate Bayesian Computation) utils
Effects of Overfishing on Coral Reef Ecosystems
Infectious disease models implemented in python
CE-ABC is a code to simulate the epidemic outbreaks with mechanistic models through a cross-entropy approximate Bayesian framework.
Interactive epidemic simulations with compartmental models from SI to MSIER
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