COVID19-SEIR-Model

A simple SEIR model framework for predicting COVID-19 transmission.

Requirements

All required packages are list in environment.yml which is available from Anaconda. Install with command on CMD or terminal:

conda env create -f environment.yml

SEIR_simplex.ipynb Train an SEIR model by simplex algorithm (Nelder-Mead) and run prediction for future days (Recommended)
SEIR_MCMC.ipynb Train an SEIR model with MCMC algorithm and run prediction for future days.
SIR_simplex.ipynb Train an SIR model by simplex algorithm (Nelder-Mead) and run prediction for future days (not Recommended)
./data Contains COVID-19 data, including confirmed, cure and death, which are data for training model. Sample data in this repository are from "COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University" https://github.com/CSSEGISandData/COVID-19.

This repository is licensed under the GNU General Public License (GPL).

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
data		data
figures		figures
.DS_Store		.DS_Store
.gitignore		.gitignore
README.md		README.md
SEIR_MCMC.ipynb		SEIR_MCMC.ipynb
SEIR_simplex.ipynb		SEIR_simplex.ipynb
SIR_simplex.ipynb		SIR_simplex.ipynb
basic_SEIR_simplex.ipynb		basic_SEIR_simplex.ipynb
environment.yml		environment.yml